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…
Couchbase: DB All-in-One Solution
high availability
We have used to store user information for fraud detection and authentication.
We have large …
Couchbase to the Rescue!
Couchbase - best NoSql solution in the market.
Couchbase - best NoSql solution in the market
My experience as a first employee at a startup company using Couchbase
Couchbase, powerful nosql
Couchbase the database of ease
Very long questions.
Move forward
Couchbase scales well
Couchbase is rock
Fantastic database management and data analysis product
A Very Secure and Scalable NoSQL Database
Cloud based outstanding database
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Popular Features
- Availability (96)9.393%
- Scalability (95)9.292%
- Data model flexibility (95)8.989%
- Performance (97)8.888%
Pricing
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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Product Demos
Module 1 - Couchbase Server Installation_04 - Hands-On Couchbase DBA | Kishore Uppala
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Module 1-Installation & Configuration_02-Hands-on Couchbase Database Administration | Kishore Uppala
Module 1 - Introduction Overview_01 - Hands-on Couchbase Database Administration | Kishore Uppala
Learn Couchbase In 1 Hour - Complete Couchbase Tutorial - Couchbase Tutorial For Beginners
How to configure Couchbase Server 5.0
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.
- 8.8Performance(97) Ratings
How fast the database performs under data load
- 9.3Availability(96) Ratings
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
- 8.8Concurrency(94) Ratings
Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.
- 8.9Security(94) Ratings
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
- 9.2Scalability(95) Ratings
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
- 8.9Data model flexibility(95) Ratings
NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data, but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.
- 8.1Deployment model flexibility(94) Ratings
Can be deployed on-premise or in the cloud.
Product Details
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- Competitors
- Tech Details
- FAQs
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
Couchbase Server Integrations
Couchbase Server Competitors
Couchbase Server Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | Apple iOS, Android, Windows Phone, Mobile Web, IoT devices using our .NET and Java libraries |
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Reviews and Ratings
(204)Community Insights
- Business Problems Solved
- Pros
- Cons
- 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
(26-50 of 100)Powerful Enterprise Class, Multicloud NoSQL DB
[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.
Pleased with the choice to use Couchbase
- 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.
Great NoSQL product - Couchbase
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.
- 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)
Great mobile datastore for most challenging environments, robust key-value for the enterprise
- 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.
Shortens application release cycle
- 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 .
Single view of data within the platform
- 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.
Couchbase, continue growing as you are already doing!
- Core database engine
- Scale-out architecture
- Query
- Provide more examples of complex queries
- Provide more examples of better index usage
- Easy to use.
- Easy to administrate after setting it up.
Less appropriate:
- Simple database use case
Couchbase for us & all
- 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.
Couchbase: Data synchronization made simple
- 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
Good NoSQL Database (with some SQL still inside)
- 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 Review
- 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 Review
- 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
Couchbase on my project
- 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.
Promotional platform powered by Couchbase
- Performance.
- Schema flexibility.
- Cross data center replication.
- N1ql maturity.
Couchbase Review
- 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
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.
Couchbase works well, but isn't the only option
- 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 Review
- Excellent performance with JSON storage
- N1QL High Performance Query Language
- Scalable database
- No SQL schema, concept change
- Documentation missing in Spanish
- System administrator required
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
Couchbase, the right tool for the job.
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.
- Fast retrieval of JSON data.
- Resilience.
- Great analytics.
- Max number of bucket limitations.
- Auth mechanism.
- Cloud SaaS instance.
Couchbase is great but expensive
- 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.
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.
Suitable for enterprise apps.
- 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.
Reliable and scalable database solution
- 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 Review
- 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