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Couchbase is widely used by various organizations and companies for agile access to information in a secure and robust infrastructure. …
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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…
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- Availability (96)9.393%
- Scalability (95)9.393%
- Data model flexibility (95)8.989%
- Performance (97)8.888%
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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.
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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.
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
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Couchbase Server Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | Apple 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.
Reviewers rate Availability and Scalability highest, with a score of 9.3.
The most common users of Couchbase Server are from Mid-sized Companies (51-1,000 employees).
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- Business Problems Solved
- Pros
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- Recommendations
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.
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Reviews
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February 22, 2023
Couchbase: DB All-in-One Solution
- HA
- Scale
- Dashboard
- Easy replication and indexing
- SQL
- FTS
- Stability in some version x.0
- Bug in first versions
October 19, 2022
Couchbase - best NoSql solution in the market.
We use Couchbase to save user data - user's PII data like email, first name, last name, etc., and user's behavioral data like click history, segmentation data, etc. PII data is permanent and behavioral data is temporary. There is a limited TTL on the behavioral data bucket. We are currently working on expanding it to save users' authentication data (session-id etc.) and authorization data (entitlement) as well.
- Retrieves the data very fast.
- Don't have to use predefined schema.
- I can still query on the Json.
- Takes too long to build index. Could be faster.
We use Couchbase at our company as our main production database. The business problem the product addresses is having to deal with the high throughput of big data at our organization and the scope of our use case is from staging environments via pre environments all the way to production and analytical services.
- Key value cache
- SQL like query
- Replication
- Indexing
- Poor UI
April 15, 2022
Couchbase, powerful nosql
We use Couchbase for two main purposes. First is the NoSQL database to store unstructured data. The n1ql language is very powerful to retrieve these data in every possible way. The second purpose is key/value storage used in caches. We use Couchbase to store serialized java objects representing cached data.
- N1QL requests
- Key/value storage
- Performance
- Indexes need some time to understand
- Documentation could be improved somtimes
April 01, 2022
Very long questions.
Offline storage of vessel operations by sea fearers. The data syncs to cloud Couchbase and use for analytics.
- Offline storage and sync.
- Peer to peer sync.
- Sync based on filters or channels.
- Max 10 databases is weird.
- Expecting data validation and data constraints.
- Easy deployment for production.
December 15, 2021
Fantastic database management and data analysis product
Couchbase connects us to reliable network sources that can effectively manage our data. It is highly scalable and ensures that all data from our customers is effectively managed for better planning. It provides cloud services that customize all data and saves the most useful data that transform our company.
- Data storage management.
- Monitoring data entering our company from all sources.
- The platform performance has been awesome.
- I am conversant with all the features.
October 28, 2021
Cloud based outstanding database
In our project, we must enter millions of entries, available in JSON format, into a database, which must subsequently be accessed on a regular basis using various filters. To fulfill this requirement we must be needed NoSQL which provides high performance. Hence, after exploring a couple of tools, we finally decided to continue with CouchBase, as it is a combination of CouchDB and Membase.
- Open source
- High scalability and throughput
- JSON based datamodel
- Setup is time consuming.
- UI is not attractive.
September 28, 2021
Faster and more cost effective than CosmosDB
We use it across our cloud solution in the IOT space. Solves the problem of a fast database at the right cost. Implementation was smooth and we have not only reduced our storage cost, but our system has also improved end-to-end latency. Highly recommend Couchbase to any team looking for cost AND performance improvements.
- Fast
- Reliable
- Cost effective
- Hosted solution needs some work.
August 24, 2021
NoSQL Couchbase as a Content store to achieve Headless CMS
Within [the] Digital landscape in the whole of the organization Couchbase is prescribed to be used for key/value as well as a document store. We stored our content which is generated by a Content Management System. By doing so we have our CMS functioning as a Headless CMS.
- Content stored as documents
- We manage session[s] in a central way across all of digital channels.
- Central store in our microservices world
- Partially as a cache in certain use cases.
- Deploying Couchbase in a microservices world
- Deployment ease to make it small and synching with other microservice hosting Couchbase
- Bucket creation and its quota can be improved.
August 24, 2021
Couchbase: Blistering performance at scale for enterprises
Couchbase is being used across our entire organization as the primary database for our platform. It addresses the need for sub-millisecond db transactions at hundreds of thousands of high-availability transactions per second[.]
- Couchbase performance is exceptional both for in-memory and persisted transactions.
- Handling of node failures and cluster rebalancing (high availability).
- Enterprise support from Couchbase themselves
- Good documentation
- Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
- Replication of datasets between native clients and Couchbase buckets
- Handling of simultaneous writes to the same record with performance penalties
- SDK examples are not always clear enough and don't cover enough scenarios.
- Setting up and managing a large, high performance cluster is not easy without significant assistance from Couchbase themselves. There needs to be more tutorials \ documentation for enterprise scenarios.
- Full text search, while not a primary feature, is not sufficiently performant in Couchbase, so Elasticsearch is still needed. Couchbase has a good integration for moving data to Elasticsearch so this is not very painful. It's possible that the performance has improved in the latest version as we have not yet tested it for FTS.
- Poor performance and support for synchronization of web based apps (PWA's etc)
August 24, 2021
A NoSQL product that delivers on performance
Couchbase was used to allow us to dramatically increase system performance across all of our products and services by allowing us quicker access to large volumes of data and providing us with greater stability and reliability thanks to the cluster and replication methodology. Our data sets are often not particularly large pieces of information, but very many pieces. Traditional databases did not perform adequately under these conditions, which is where Couchbase came in.
- Improved system stability
- Improved system reliability and service uptime
- Fast response to queries
- Improved performance of synchronous queries
- Licensing should separate out product and support.
- Early versions were hard to integrate.
- Improvements to maintenance functions to minimize downtime
August 17, 2021
Fastest, flexible, scalable high performing noSql Database.
Couchbase is used to maintain a huge dataset of metadata from multiple software components in our organization. It's unique feature that support seamless cross data centre replication coupled with its resiliency and redundancy features makes it first choice for our business use case. It is one of the few databases used across our organization.
- Cross Data-centre replication (XDCR).
- Improved performance.
- Scalable.
- Redundancy.
- High availability.
- Not many code examples given with SDK documentation, they seem beginner level.
- Error logs are mostly not useful/straightforward, need to spend time and look around to understand the problem.
- Community base is limited, so help from the forums like stack overflow, etc. is not that great, at least for older versions I have seen it.
Couchbase is used by couple of departments across the whole organization. It replaced some of the applications' RDBMS backend which helped us save a lot of cost without compromising or in some cases with a better performance, security, clustering and replication factors.
- Easy to store unstructured data and has great performance
- Managing security is super easy which can be managed across different levels
- UI is pretty simple to use and manage the cluster
- Backup of the data is very easy and the restoration/recovery is fairly easy as well with the in-built tools.
- Easy integration with Elasticsearch for replication
- It is fairly easy to scale up or scale down the cluster
- Resource utilization can be improved. Sometimes we have noticed that Couchbase acts like a resource monster and draining the resources.
- If a node has to join back to the cluster sometimes database cluster with moderate size takes a longer time for a delta recovery
April 20, 2021
The fastest versatile Cloud NoSQL Database
The Couchbase cloud version is designed to meet all our needs, processing [large quantities] of HR data is very fast. In the HR department, we transferred everything to it and came to a quick result. NoSQL DB and Cloudbase servers have helped us to buy high speed and managed resource usage according to the amount of usage with a super fast response time.
- NoSQL DB response time in a millisecond
- High security under the cloud platform
- Super easy integration
- High read and write performance
- Backup and restore can have better performance and speed
- Working with it requires technical IT knowledge
- Migrate and move from other databases little complicated
April 16, 2021
Powerful Enterprise Class, Multicloud NoSQL DB
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.
April 06, 2021
Pleased with the choice to use Couchbase
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.
March 19, 2021
Great NoSQL product - Couchbase
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).
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.
March 01, 2021
Great mobile datastore for most challenging environments, robust key-value for the enterprise
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.
December 17, 2020
Single view of data within the platform
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.
October 15, 2020
Couchbase for us & all
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.
September 08, 2020
Couchbase: Data synchronization made simple
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
September 03, 2020
Good NoSQL Database (with some SQL still inside)
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.
August 19, 2020
Couchbase Review
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
August 12, 2020
Couchbase on my project
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.
August 12, 2020
Promotional platform powered by Couchbase
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.