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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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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!
- 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.
Attribute Ratings
Reviews
(1-25 of 52)Companies can't remove reviews or game the system. Here's why
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.
October 11, 2022
Couchbase - best NoSql solution in the market
We use Couchbase to store user data. We have millions of anonymous user data that need to be served on the front end in a timely fashion and we were looking for a service that can be robust. We were also looking for a flexible data schema. Couchbase was a perfect solution for both.
- Flexible schema
- Serves data very fast
- Automated purging of old data
- Query takes too long. It can be improved
- Indexing can 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.
March 17, 2022
Couchbase is rock
I am using Couchbase to store project-related data.
- Using N1QL query we can perform operation on specific field
- Fetching is easy
- Using JPA we can do crud operation very easily
- It stored data in the form of json object
- We can enhance the query console in UI so we can perform some cleanup activity very easily on the different bucket
- We can show some suggestion while writing query from UI
- We can do static error checking ie while writing a query editor can show the error if there are some errors instead run the query and get the error
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.
October 20, 2021
Couchbase a great NoSQL high performance database.
We use Couchbase in our core enterprise backend distributed system for some complex data storage and data caching. It simplifies the storage of complex insurance rating information and provides high performance and scalability.
- Ability to scale.
- High performance on reads and writes.
- Easy to setup and configure.
- Limitation on a number of data buckets as per best practices.
- N1QL query not very fast.
- Past versions had some major bugs like in xdcr causing cluster failure, which has been fixed in 4.x.
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 19, 2021
A good tool for the right problem
Couchbase was originally selected to be the OLTP database to be used with "the experience engine" to hold the guest information, messaging, activity records, tags/classifications and related information pertaining to the guest experience. We initially used Couchbase prior to the creation of N1QL, and have used its core data services, views (now deprecated), N1QL, and XDCR and SyncGateway functionality. (Our use of couch-base included multi-instance replication). More recently, we've also worked with its event functionality and transactional support (a relatively new addition to its SDK).
- As a sharded key/value store for json documents, its both performant and scalable.
- The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
- You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
- There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
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.
August 05, 2021
Great product, but there is still room for improvement
Over the years, Couchbase has helped us build challenging projects. Thanks to its characteristics it fits perfectly with our needs to create scalable, stable, and performing software.
- Sync data between server and mobile devices
- Scaling based on performance requests
- Query data with power of relational database
- Query functionalities on Couchbase Mobile
- More intuitive index creation on Couchbase Mobile
- Couchbase Cloud functionalities
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.
January 18, 2021
Shortens application release cycle
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 .
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.
November 03, 2020
Couchbase, continue growing as you are already doing!
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
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 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.
June 20, 2020
Couchbase works well, but isn't the only option
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.
June 12, 2020
Couchbase Review
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
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.
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
May 27, 2020
Couchbase, the right tool for the job.
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.
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.
April 21, 2020
Couchbase Review
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