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Couchbase Server

Couchbase Server

Overview

What is Couchbase Server?

Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid…

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Recent Reviews

TrustRadius Insights

Couchbase is widely used by various organizations and companies for agile access to information in a secure and robust infrastructure. …
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high availability

8 out of 10
December 14, 2022
Incentivized
Fraud detection and identity authentication
We have used to store user information for fraud detection and authentication.
We have large …
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Move forward

8 out of 10
March 30, 2022
Incentivized
CodeFactory company is implementing an Informational system based on microservice architecture. Some services use Couchbase as data …
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Couchbase scales well

10 out of 10
March 29, 2022
Incentivized
Couchbase is a key part of our software stack. We use it to store all of the information about the objects in our service. It is used by …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

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  • Availability (96)
    9.3
    93%
  • Scalability (95)
    9.2
    92%
  • Data model flexibility (95)
    8.9
    89%
  • Performance (97)
    8.8
    88%
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Pricing

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What is Couchbase Server?

Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://www.couchbase.com/pricing/#couc…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Module 1 - Couchbase Server Installation_04 - Hands-On Couchbase DBA | Kishore Uppala

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Module 1 - Install CentOS In Virtual Box_03 - Hands-on Couchbase DBA | Kishore Uppala

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Module 1-Installation & Configuration_02-Hands-on Couchbase Database Administration | Kishore Uppala

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Module 1 - Introduction Overview_01 - Hands-on Couchbase Database Administration | Kishore Uppala

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Learn Couchbase In 1 Hour - Complete Couchbase Tutorial - Couchbase Tutorial For Beginners

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How to configure Couchbase Server 5.0

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Features

NoSQL Databases

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

8.9
Avg 8.8
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Product Details

What is Couchbase Server?

Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.

Built on NoSQL technology, Couchbase Server is designed to deliver performance at any scale across any cloud. With its memory-first architecture, latency is measured in milliseconds. And with a JSON document foundation, geo-distributed deployments, workload isolation, and high-density storage, Couchbase is presented as an ideal database for scalable, mission-critical applications. To round off the solution, Couchbase has an SQL-compatible query language (SQL++) and dynamic schema structures, to make it easy to migrate from RDBMS.

The vendor states that current customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names.

Couchbase Server Features

NoSQL Databases Features

  • Supported: Performance
  • Supported: Availability
  • Supported: Concurrency
  • Supported: Security
  • Supported: Scalability
  • Supported: Data model flexibility
  • Supported: Deployment model flexibility

Additional Features

  • Supported: Multi-Dimensional Scaling (MDS)
  • Supported: Cross Data Center Replication (XDCR)
  • Supported: Flexible Schema (JSON + N1QL)
  • Supported: Full Text Search (FTS)
  • Supported: Analytics
  • Supported: Mobile & IoT Integration
  • Supported: Memory-First Architecture
  • Supported: Big Data & SQL Integration
  • Supported: Key Value
  • Supported: Cloud Native
  • Supported: Query

Couchbase Server Video

What is Couchbase?

Couchbase Server Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationApple iOS, Android, Windows Phone, Mobile Web, IoT devices using our .NET and Java libraries

Frequently Asked Questions

Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.

MongoDB, Oracle NoSQL Database, and Amazon DynamoDB are common alternatives for Couchbase Server.

Reviewers rate Availability highest, with a score of 9.3.

The most common users of Couchbase Server are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(204)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Couchbase is widely used by various organizations and companies for agile access to information in a secure and robust infrastructure. Users have found Couchbase to be an efficient and easy-to-use solution for developing web apps, mobile apps, and IoT applications. It offers scalability, high availability, and performance, making it crucial for designing applications that can handle global customer needs.

Couchbase is utilized in various areas of companies, including human resource management, accounting, and receipt and delivery departments, to facilitate faster and more regular movement of goods and services. It enables fast access and processing of data securely with different access levels, which is crucial for delivering goods and services remotely. Additionally, Couchbase Cloud is used to overcome the challenges of remote work and ensure fast and secure data analysis and delivery for both internal and client projects.

The software is also extensively used in the gaming industry for storing players' game state data and allowing features and services to leverage it. Furthermore, Couchbase is utilized for mobile data collection in a SaaS platform, eliminating the need for relational tables and schemas. It simplifies the storage of complex insurance rating information and provides high performance and scalability.

Developers rely on Couchbase as a powerful and flexible NoSQL database that allows for quick application development and deployment within the cloud. The product is commonly used for managing databases across multiple departments, particularly in mobile application development. Furthermore, Couchbase Data Platform is utilized in various industries such as the airline industry, where it powers onboard meal ordering systems and personalized service during flights.

In summary, Couchbase addresses a wide range of business problems across industries by providing fast access to information in a secure infrastructure. Its flexibility, scalability, and high performance make it a preferred choice for developing web apps, mobile apps, IoT applications, and managing databases across organizations.

Scalability: Couchbase is highly scalable, allowing users to handle large amounts of data and serve numerous transactions simultaneously. Reviewers have praised the ability to scale the database based on performance requests and the ease of expanding the cluster size.

Performance: Users appreciate Couchbase's strong performance, specifically highlighting its memory caching as a significant advantage over other NoSQL databases they evaluated. This indicates that Couchbase is efficient and fast in processing and retrieving data.

Flexibility: The schema-less architecture of Couchbase provides flexibility for users. They value the ability to support system points backwardly and make changes easily. It demonstrates that Couchbase can adapt to changes in the database structure effectively.

Difficulties in navigating documentation: Some users have expressed frustration with the navigation of Couchbase's documentation site, citing outdated code references and articles. They feel that this makes it more challenging to find the information they need.

Lack of enterprise features: Users have mentioned that Couchbase lacks certain enterprise features, such as centralized administration tools, auditing capabilities, and replication networks. This has led some users to believe that the platform may not be suitable for larger-scale or more complex business needs.

Frustration with management UI: The management console in Couchbase has been described as cumbersome and in need of improved user experience. Users have suggested improvements such as consolidating logs, enhancing error handling capabilities, and allowing servers to change roles without downtime.

Users have recommended Couchbase for several use cases, including caching applications and scenarios involving real-time analysis. They also suggest utilizing Couchbase for document-based NoSQL databases, as it offers good read and write speed. Attendees at Couchbase seminars have praised the informative sessions that help in gaining a basic understanding of the product. Additionally, users recommend watching videos or webinars to further enhance knowledge about Couchbase's features. Customers have reported outstanding support and assistance from Couchbase's customer service team and account representatives. They are commended for their promptness and expertise in resolving any issues or queries. To ensure long-term scalability and smooth cloud migration, it is advised to carefully consider these factors when implementing Couchbase. Users recommend leveraging the ElasticSearch plugin for effective data structuring. While Couchbase is recognized for its performance boost, users note that there is a steep learning curve compared to traditional RDBMS systems. It is suggested to invest time in understanding the purpose and strengths of Couchbase before implementation. Couchbase is regarded as a reliable solution for maintaining secure and safe databases. However, users caution that implementing logic should be handled in code rather than relying solely on Couchbase. To explore the capabilities of Couchbase, users recommend trying the free trial version and engaging with the active community forums where they can seek assistance from experienced developers. Overall, users advise familiarizing oneself with the developer guide as it provides valuable insights into effectively using Couchbase for various applications.

Attribute Ratings

Reviews

(26-50 of 100)
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Ali Kazempour | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

[Couchbase] is used in all parts of our company as well as most parts of factories and organizations that have consulting contracts. In a nutshell, it provides us agility of access to information in a secure and robust infrastructure. Last year, a lot of work was forced to move remotely, and the option of delivering goods by mail was added to some services, so analyzing and delivering information and fast access and processing data securely with different access levels was much more important than before. So we used Couchbase Cloud to overcome this challenge, both for ourselves and our client projects. Now everything is working Agile via Couchbase!

It helps us in all areas, because databases are everywhere, from human resource management to accounting, as well as the receipt and delivery department, all moving goods, services and products faster and more regularly than before.

From 2020 onwards, everything went online, and the use of the Internet and e-culture became ubiquitous, increasing the need for secure and fast databases for agile cloud processing for developers and service providers.

  • High performance, fast secure flexible with smart architecture and it’s faster other than competitors in the market.
  • We can control all data security, cluster configs, and managing operations costs.
  • Proficiency to secure and isolate database information in a secure environment to prevent undefined access.
  • Ability to specify IP address ranges, routing tables, network gateways, and subnets according to your private IT department protocols.
  • In some scenarios restoration of big data takes time.
  • Examples of real-life scenarios should also be included in the educational documents.
  • Indexing DB must developed.
[It is] very easy to connect and simple settings to connect to the Storage Cloud server, I easily connected to Microsoft Azure. It is also possible to purchase a professional support service for the developer separately. It is possible to import the database into clusters very smoothly and easily. There are security settings to define user access level, IP definition as well as security certificate. The feedback link option in the dashboard is a direct link between you and the development team, where anything you think should be added or subtracted to improve the software can be requested directly. In most scenarios, it has been fast and powerful.
Tyler Twitchell | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are implementing Couchbase to improve performance for several applications in our datacenters. Couchbase has become one of the core applications for our SaaS offering that we are relying on for more and more of our infrastructure. We are primarily using it as a replacement for MSSQL but we have found that it also works for several other areas of our technology suite.
  • Improved Performance
  • XDCR between locations
  • Ease of expanding the cluster size
  • At rest encryption
  • The ability to handle large data sets without the need for nodes that have huge amounts of memory.
Scaling and performance are the main benefits that I see from using Couchbase. It seems where speed is not necessary that another model would be preferable to have a hybrid between speed and the ability to store large amounts of data without the need for servers with a crazy amount of RAM or having to create 40-50 servers to accommodate the need.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Currently, it is being used by many departments, in various product areas.

There is a mix of deployments being used in multiple clusters:
- enterprise
- community
with various types of topologies: single cluster, multi-cluster (using cross DC replication).

The most important use-cases are:
- Transactional [datastore]
- Distributed cache
- Reporting and analytical storage
- Session storage and other user details.

The addressed business problems are:
- Performance improvements in various applications by using Couchbase as a distributed cache, capable of serving an intensive workload with low and predictable latency.
- Promotional platform: as storage of promotional campaigns, including tracking of customer activity in order to provide real-time feedback regarding customer journey. The main feature is to increase customer engagement by offering targeted promotions.
- Distributed scheduled workload execution: allows execution of a huge volume of transactions (millions) very quickly (minutes), by leveraging the low latency reads/writes & indexes.
- Internal console storage: hold various types of data related to console user journey (ex: session).







  • Low latency for read/write operations.
  • High throughput can be achieved using reactive support of the client.
  • Cross Data Center Replication - useful for multi-cluster topology.
  • Great management console, including various metrics useful for monitoring.
  • Great support for enterprise licences.
  • Community edition has various limitations, like [the] inability to view/edit documents over a certain threshold or inability to use various types of [optimized] indexes.
  • The indexes performance degrades when a certain number of mutations is reached.
  • The views creation can be quite slow and impacts the deployment speed for large buckets.
Well suited:
- Distributed cache
- storage of data by customer, where the get/set operations are very frequently used.
- Simple reporting, when non-complex reports are required with aggregations like count/sum.

Not well suited:
- Complex reporting (data warehouse): there are other relational DB [that] are more appropriate for this use-case.
- Applications using complex relational schema, requiring various joins between tables...
Any use-case where the most common type of operation is storing data based on some sort of identifier.
Virtually any use-case is appropriate for Couchbase usage, with exception of application. Though this kind of use-case is partially covered by n1ql support (similar to SQL)
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase Enterprise is used for numerous products in the airline for various business lines. In 2016 the first use case came because of distinct features of Couchbase Lite, like mobile devices peer-to-peer sync. This was a technically challenging project, with mobile devices synching with each other on the airplane board during a flight thru the onboard Wi-Fi. It included a lot of specific work with avionics vendors, device manufacturers and Couchbase experts. The outcome was a great passenger experience for onboard meal ordering and personalized service.
  • Couchbase Lite is industry leading mobile product.
  • Couchbase Server is doing very solid both on-premise and public cloud, with fast response, good reliability and scalability, using it for business critical real-time applications in a leading global airline.
  • Expertise and experience of the support and consulting staff is very good.
  • Commercial process is smooth and flexible.
  • Doing great with key-value and N1QL, evaluating now full text search.
  • Using it as a caching in business critical airline applications, plus as a datastore for other set of use cases, also as replacement of relational datastores.
  • Cluster sizing during the design phase can be improved, especially if the client lacks prior experience. Vendor consultants are very meticulous in order to provide best of class performance and response time, although some more real-world pragmatic approach is often needed.
  • Couchbase Lite 2 went thru a major revamp, which broke the compatibility of the applications with some features removed and other changed. That needed development teams working to refactor the applications.
Great for mobile use, caching use cases, also as replacement for relational data stores. Confident to put my business critical application on it. Commercial staff is really helpful. As the airline was heavily impacted during the pandemic, we got full understanding with great commercial conditions and flexibility. Recommended for variety of use cases in most challenging environments.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is used to reease and update applications fast and easy in the cloud. Couchbase is robust NoSQL platform that has benefited us by shortening the application release cycle from months to weeks now. We are able to onboard new data points without having a lengthy data modelling as it has made it simple to create on-the-fly schema changes for continuous delivery.
  • High performance cache compared to to other similar products.
  • It is easy to manage as you can implement Couchbase server at any scale
  • Robust N1QL query language and flexible JSON schema.
  • Issues like clunky SDK or bad app code .
It is well suited for organization that deal with infrequent changes to structures of files with knowledge of which type of queries will be executed.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase help us to simply integrate data sources, datasets, and applications to capture the data on every channel, to deliver an accurate and real-time view of our data. Couchbase is the best at consolidating layers to work together providing reliability and durability. Couchbase helps us to improve client experience and operations. It is used across the organization with greater adoption by all employees.
  • It is flexible to integrate multiple data into multiple sources.
  • High availability and disaster recovery.
  • High in performance compared to other databases.
  • It is cumbersome to load backup of the older version to a new one.
  • Ease of application and the emerging data.
  • The performance of querying process is slow.
It is well suited for high-demand migration of applications to new versions, or bringing together independent applications.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase Data Platform is used across the whole organization. It is our primary and unique database we work with. It addresses user registration and business profile payments. Right now we are about to integrate the eventing service. The underlying database is what makes the difference.
  • Core database engine
  • Scale-out architecture
  • Query
  • Provide more examples of complex queries
  • Provide more examples of better index usage
More appropriate:
- Easy to use.
- Easy to administrate after setting it up.
Less appropriate:
- Simple database use case
October 15, 2020

Couchbase for us & all

Chethan Chandra | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
We're using couchbase to gather Infra health, stats for near real time analytics, to make decisions to scale out or up the Infra.
We have more than 40K servers in our Infra, both virtual and physical. We've historically had slow processes, to reading performance statistics from each of them and analyzing them. Before we could react to a need for server upscale, an incident would have happened. This is where we tried other solutions and are currently using Couchbase. We are able to load vast amount of data every second and come up with near real time decisions.
  • Key-value storage.
  • N1QL is easy, comprehensive and fast.
  • Scalable across datacenters.
  • Integration with Elasticsearch.
  • Inconsistent memory, CPU consumption pattern.
  • Still evaluating and optimizing our deployment.
A less appropriate scenario would be that - I still can't imagine how this will work in OLTP environment where real time transaction processing & responses are needed. This may be attributed by my limited knowledge, also because our scenario doesn't involve real time processing. For real time analysis we are satisfied.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase was chosen to integrate mobile data from online/offline data collection apps right into our backend. Right now, due to the coronavirus pandemic and its repercussions, the project has been aborted. It was used in one department.
  • Data synchronization between mobile apps and backend
  • Querying stored data
  • Database monitoring
  • Document structured mobile data storing
  • Transactions support
  • Documentation. We used Couchbase views just to find out they were not recommended due to our use case size. There was no mention of that in Couchbase documentation.
  • Improvements in Couchbase Light query support to provide all capabilities found in Couchbase Server
  • Windows environment support
Couchbase synchronization works like a charm in an online/offline mobile app scenario. Querying is flexible enough and the functionalities associated with Couchbase server allow its usage for developing detailed close to real-time operation support systems. It is not a good solution for keeping large datasets for auditing considering Couchbase memory capabilities (cost was prohibitive). In-depth knowledge was necessary to fine-tune the data model. Couchbase also doesn't provide triggers. Events capabilities provide some support but still lack control.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It was initially a cache (caching data aggregated from multiple sources, with various response time and rate limiters), but as usage grew, confidence grew also, we started also using it a database with NoSQL, to query multiple documents based upon more and more complex queries, to fit our needs.
  • Key value access is super fast.
  • NoSQL is particularly useful when you have a SQL background.
  • .Net client works like a charm and is well maintained.
  • With NoSQL, you kind of have a vendor locked in.
  • When something goes wrong, rarely, it's sometimes hard to find the culprit using the statistics.
  • We feel we are missing some features by using the community edition, but we survive.
Couchbase is well suited to a fast distributed Key Value store with a light need of SQL-like language for access. Below 5 minutes response time is usual for KV access, nearly impossible for SQL/HTTP call in our systems. It saves us.
August 31, 2020

Couchbase Review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Couchbase was chosen initially to start new projects that require No SQL database, full-text search capabilities and later some analytics capabilities. Initial idea was to go on MongoDB and Elasticsearch, but after some research, we decided to challenge Couchbase as we expect to benefit from functionalities like: native mobile synchronisation, data replication, N1QL (for smooth developer transition), high performance and easy deployment. We are still in the development phase and it's used only by one development department.
  • Installation and deployment.
  • Data replication.
  • Platform scaling.
  • No clear communication on some functional limitations.
  • Require a strong infrastructure if we use more than 2 buckets.
  • Need to change mindset when you come from standard SQL DB.
Couchbase allows us to start quickly new development phase but later on you discover some limitations that you need to invest more on your application design, but the product remains a good choice for the moment.
August 19, 2020

Couchbase Review

Ausrine Stankeviciute | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Couchbase is my go-to NoSQL database. As a developer, I use Couchbase primarily because of how powerful and flexible it is. It enables me to build applications quicker than ever before and deploy them within the cloud. The main business problem that Couchbase solves is the need for a distributed cloud-based NoSQL database in order to increase scalability and overall development performance.
  • All-in-one NoSQL database with in-built SDKs
  • Distributed database design out of the box
  • Easy to scale development with kubernetes
  • Managing large volumes of data can be slow
  • Documentation could be improved to enable earlier adoption
  • Requires a dedicated internal dev team to support and maintain
The following are scenarios where Couchbase is very well suited:
* Projects where scalability horizontally is a top priority
* Projects where a dedicated team exists that is able to set up, use, maintain and support the database

The following are scenarios where Couchbase is not well suited:
* Projects with new teams or inexperienced teams where upskilling and training will be needed
Score 6 out of 10
Vetted Review
Verified User
Incentivized
We are using Couchbase for mobile an app project as a data store and peer to peer to cloud syncing for mobile. There are several No SQL databases but we choose Couchbase as the winner for our project because we can use community release, flexible JSON schema, easy SQL-friendly query language, fully integrated SDKs for .NET, and it can be installed on Windows & Linux and the most important things is a peer to peer cloud syncing for mobile using SynchGateway service, whereas other No SQL databases don't have it. As time goes by, the index and view are increased rapidly to spend 240 GB on storage for each cluster that makes failover not work. if we got, that problem the app could not save or retrieve data from Couchbase.
  • The SDK was easy integrated with .NET.
  • Peer to peer to cloud syncing for mobile using the Synch Gateway service was amazing.
  • We can use community release for our project.
  • Index and view are increased rapidly and spent 240 GB on the server storage.
  • Every bug fix and patch was not set to the current version but the latest version, whereas we have to reinstall if any patches, it was time-consuming and not worth it.
  • Backup and restore is time consuming.
Based on the pros and cons, each patch should be related to the current version and users don't have to reinstall the latest Couchbase.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase powers our promotional platform. It allows us to deliver real-time updates to our customers, while enabling us to keep a flexible schema. We are able to deliver quickly new business requirements as a result. It has enabled our teams to take control over the entire tech stack, front-end, middle tier and storage, which has led to better results.
  • Performance.
  • Schema flexibility.
  • Cross data center replication.
  • N1ql maturity.
Document retrieval works excellent, this is where Couchbase excels.
August 05, 2020

Couchbase Review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
It's being used across the whole organization for document storage.
  • Relatively fast
  • Fairly easy to set up and manage
  • Good kubernetes and cloud-ready support
  • Failover and rebalance tasks
  • More integration with various APIs
  • Expand N1QL capabilities
It's well suited for Json-related document data, but less appropriate for schema-based data.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
Couchbase & SyncGatway were used to allow for rapid prototyping of our backend systems. However in the desire for rapid iteration we implemented things incorrectly that ultimately ended up hurting our ability to scale resiliently using the Couchbase view engine.

Couchbase would make a fine caching layer and the potential for N1QL looks interesting. However as we were using older versions of the product the effort to migrate to newer libraries resulted in us ultimately migrating off Couchbase.
  • Horizontal scalability.
  • Caching.
  • View Engine locking during node failover.
If I needed to implement a horizontal scaling caching layer, Couchbase would be something I would look closely at.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Couchbase was chosen initially to solve the problem of global distribution of data for our authentication services. We wanted our auth data to replicate globally, be flexible, and easy to query. It also had to be fast so that we could quickly direct users to the correct data center where their data existed. Couchbase solved all those problems for us. It also included simple management consoles and automatics recovery when nodes became corrupt or went missing. It was used for this and several other products.
  • Management of nodes is simple and requires minimal maintenance.
  • The ability to query is flexible and the N1QL language is convenient, though it can have pitfalls.
  • Replication provides great data resiliency, as well as speed and performance on a global scale.
  • At large query volume, it can be difficult to scale. This is mostly due to user error, but the flexibility afforded makes these issues easy to slip through.
  • The N1QL language, while convenient, obscures powerful features and hinders in-depth learning of the NoSQL principles.
  • Couchbase is self-hosted, and as such, it required internal DevOps resources to maintain.
Couchbase is well suited for global deployments. It also works well in a variety of cloud or on-premise environments. This flexibility makes it a great product that can be used almost anywhere. If you only use a single cloud provider or don't have any capacity to maintain a database, then choosing the NoSQL flavor of your provider might provide a better experience.
June 12, 2020

Couchbase Review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Couchbase is our favorite non-relational database when we implement Smart Cities projects in customer facilities. It is mainly used by the Development and Implementation team. It allows us to use large amounts of data thanks to its non-relational design, its high performance, and its JSON DB schema. In addition, its management is very simple and has great security.
  • Excellent performance with JSON storage
  • N1QL High Performance Query Language
  • Scalable database
  • No SQL schema, concept change
  • Documentation missing in Spanish
  • System administrator required
The Couchbase server allows developing Smart Cities applications with great agility and continuous delivery. Its performance is excellent compared to other non SQL alternatives like MongoDB. Its management and administration is simple for a Database administrator. In addition, it has its own query language called N1QL that allows non-SQL queries to be performed as if using a relational and SQL paradigm.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We at our company use Couchbase as the product database for customer-facing desktop and server applications, with high demand in performance requisites. Couchbase enables our product, not only to tackle all the business demands but also to leverage the new business models with the Couchbase Lite to Server connectivity framework.

Couchbase is a great product covering different usage scenarios, both for Backoffice/Backend intensive operations and client-side DB. Couchbase as well offers good integration with encryption services, fulfilling our security and privacy requirements.
  • Querying & Indexing
  • Resilience
  • Support
  • Scalable models
  • Encryption
  • Backwards compatibility
I find Couchbase to be a very suitable solution where you have to deal with both online and offline scenarios, leveraging on Couchbase LITE and Couchbase server alternatives. Moreover, Couchbase is a great alternative when dealing with large data volumes in a segregated architecture, enabling different business models and capabilities compared to competitors.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Couchbase is being used as a backend datastore for our document management SaaS system. We originally brought it in to replace aging technologies, such as E-Directory. As our experience with it has grown so has its use inside of our product. We are now actively migrating our systems that rely on SQL Server to it as well.
The biggest issues that Couchbase solved for us were scaling and data elasticity. As our user base grew we knew we needed a system that could scale horizontally so that we had more predictable capital expenditures that could be planned for. We also wanted to be able to update data models without having to perform difficult schema definition changes or table alterations. Couchbase met both of these objectives.
  • Single and multi-record lookups are extremely fast.
  • N!QL lets SQL programmers get up and running quickly without having to learn a new way of thinking.
  • Full-text search, still basic but becoming more useful.
  • Management UI is awesome providing a useful dashboard for determining the health of your cluster.
  • Rolling updates just work.
  • Full text search is very basic and fairly limited throwing errors at times that are difficult to understand or resolve.
  • .NET SDK has not always been compatible with the latest server version.
Couchbase is ideal for situations where you store JSON objects that you usually retrieve using a unique key, speed and reliability in this area is supreme. With N!QL it is also a great replacement for situations where you would use SQL. With that said however, it is not a good fit for situations where you need strong ACID properties. It is an eventually consistent system and with a lot of transactions happening it can take it awhile for an index to catch up. You can usually work around those issues but it does require extra work.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Used as a persistent cache, as well as for very quick storage and retrieval of large JSON docs. We are also storing some BLOBs (Binary Large Objects). This makes us able to react to changing requirements faster than if we were using a traditional relational database. We also use the ability to swap out the default serialiser in certain scenarios.
  • Fast retrieval of JSON data.
  • Resilience.
  • Great analytics.
  • Max number of bucket limitations.
  • Auth mechanism.
  • Cloud SaaS instance.
Good for very fast retrieval of JSON data. Not so good for typical relational work loads. Very good for aggregations - like counts, sums, etc. across millions or billions of rows.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
It is mostly used by e-commerce development across several different development teams.
  • Shopping cart checkout
  • Concurrent writes
  • Metadata repo
  • Backup processes without data loss.
  • Reduce costs to align with competitors.
  • Free training for new support teams instead of cost-based.
Obviously, it's not well suited for anything transactional. It's also not greatly suited for upgrades or patches without turning off auto-failover. It is well suited for metadata databases and front end fast data retrieval.
It is relatively easy to deploy without training but not intuitive enough to set it up with best practices without pretty good working knowledge of the DB and all its settings and terminology.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase is the most efficient database solution, which we are using for all kinds of NoSQL Databases. It is easy to learn, use, implement, and configure. This consists of a number of various features that can help developers to develop better apps. So in our organization, we are using Couchbase for developing web apps for clients and internal usage.

  • Reliability and security are high.
  • Easy to deploy.
  • GUI of the Couchbase is easy to understand.
  • Has many various features.
  • Has a good support service.
  • Can stick with future business goals.
  • Some features of Couchbase can be improved, like reporting and logs features.
Couchbase is well suited for solutions that need to process a large set of data at the same time, such as enterprise web apps. As an example, customer transaction web sites.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
According to my experience, this is the best database solution for NoSQL Databases. Therefore, we have been using it for several years. Both it's products, which are the Couchbase Database Server and the mobile database platforms, are essential and efficient. And to work on these, we need some previous knowledge and practice. However, the service that they provide is precious for us to achieve the success of our work. Our developing team using Couchbase for our customers' web-based and mobile app projects. We can easily work using Couchbase Database.
  • This is a very flexible and efficient database that has high performance. As well as it is easy to deploy and manage.
  • Couchbase consists of high scalability and reliability.
  • The speed is very high, therefore, it can do faster developments by handling a large set of data.
  • And security is another important quality included in this database.
  • Less downtime.
  • Couchbase has less community support.
  • It can not be used without proper knowledge and practice, so new users have to learn first.
Couchbase is well suited for web-based high demanding, high transaction apps.
April 21, 2020

Couchbase Review

Score 10 out of 10
Vetted Review
Verified User
Incentivized
In our organization, we are serving thousands of customers at the same time using web applications and mobile applications that have a high number of transactions. So we are using Couchbase for those applications, which fulfills our requirements. Another thing is we feel that it is easier to develop apps using Couchbase.
  • Easy to rapidly develop and manage applications
  • High-performing database.; ability to serve a large set of transactions at the same time
  • Adaptable for multiple types of apps such as web applications, mobile apps
  • N1QL is easier than SQL.
  • High availability and reliability
  • Less community support
  • Hard to learn at first
These days businesses are adopting large scale web applications and mobile applications for serving customers better. Traditional RDBMS databases cannot serve those demanding requests. But Couchbase is adapting high-performing databases for those kinds of demanding applications.
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