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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

View all 7 features
  • 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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Unavailable

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

YouTube

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

YouTube
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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

(1-3 of 3)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
Couchbase has been our solution to have high availability and scalability in a simple way.
With only one product we have replaced several technologies (JSON files, Memcache, Redis, MongoDB, Solr, Lucent).
  • HA
  • Scale
  • Dashboard
  • Easy replication and indexing
  • SQL
  • FTS
  • Stability in some version x.0
  • Bug in first versions
Couchbase is okay for big web companies with a lot of requests and where speed and replication are a priority. It has a lot of features, Key-Value, N1SQL, Full-Text Search, Analytics, Dashboards, etc.
Couchbase requires an initial learning curve and adaptation of developments as it is a non-standard proprietary technology. I only recommend it in custom developments.
NoSQL Databases (7)
90%
9.0
Performance
90%
9.0
Availability
90%
9.0
Concurrency
90%
9.0
Security
90%
9.0
Scalability
90%
9.0
Data model flexibility
90%
9.0
Deployment model flexibility
90%
9.0
  • Concurrent user
  • Replication
  • Response speed
High availability is very good, but rebalancing takes a long time with large volumes of data.
N1QL and FTS re-indexing can be very slow.
10
Sysadmin
1
Only me.
Sysadmin fullstack
DB admin
  • NoSQL
  • N1QL
  • FTS
  • Scale
  • HA
  • Simplificate
  • Analytics
  • BigData
Yes
Redis, MongoDB, SolR, Lucent, Memcached, JSON Files
  • Product Features
  • Product Usability
  • Product Reputation
  • Prior Experience with the Product
All right but not the lastest versions (too buggie).
No
No more money in my company.
We use Community version
all right
Yes
Yes. In next version resolved or send a patch
All times. Couchbase Support is great (paid or open forums)
Savan Solanki | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
NoSQL Databases (7)
95.71428571428571%
9.6
Performance
100%
10.0
Availability
100%
10.0
Concurrency
100%
10.0
Security
90%
9.0
Scalability
90%
9.0
Data model flexibility
100%
10.0
Deployment model flexibility
90%
9.0
Couchbase offers a key-based lookup and update mechanism. Moreover, it contains CouchDB which provides excellent support for JSON-based data and allows it to read using REST APIs, and also, sharing and database replication with an outstanding tool such as Membase. Also, we can configure multiple buckets and each bucket can have its own separate configuration and data space. Further, data is replicated over multiple nodes which increases the data reliability and protects our data against any event of node failure.
  • Significantly increased system performance.
  • Zero downtime.
  • Bucket based space allocation.
The Couchbase support team deserves this rating, for the support they are providing.
350
170
  • Store application properties.
  • Cloud-based database storage.
  • NoSQL with SQL support.
  • Excellent way to handle JSON operations.
Yes, during our application deployment, our DevOps team was facing the issue with the initial setup on Linux based server. Immediate support provided by the Couchbase team was unbelievable with great suggestions.
Couchbase is [a] distributed database where load balancing across servers is managed based upon the workload circumstances. If the workload is high it expands and when it decreases, servers start shrinking. Asynchronous way of query writing facility for high latency. While creating a new table it is preferable to create an index which is called View Index. Moreover, we also used a memory-optimized index to significantly improve the performance along with applying permutation on data.
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)
NoSQL Databases (7)
95.71428571428571%
9.6
Performance
90%
9.0
Availability
90%
9.0
Concurrency
100%
10.0
Security
100%
10.0
Scalability
100%
10.0
Data model flexibility
100%
10.0
Deployment model flexibility
90%
9.0
  • Faster transactions speed (ex: under 50ms for most common operations).
  • Ability to cope with massive load (over 10k TPS).
  • Faster development cycle due to schema flexibility. The application domain model evolves easily without backward-compatibility issues.
The performance is very good, especially for [the] enterprise edition.
For instance, we managed to achieve over 1m TPS cross data center replication speed for one of our [clusters.]
The reactive Couchbase client support allows using efficiently application resources by achieving large throughput for certain flows (ex: over 10k TPS on a single application node).
The [index] performance is pretty good for moderate load, however, it can degrade under heavy load when a large number of mutations are made.
Of course, the performance is sensitive to the hardware performance. To achieve some targets, it is recommended to [provide] a large number of CPUs & memory and sizing the cluster depending on the data size.
The Apache Cassandra was one type of product used in our company for a couple of use-cases.
The Aerospike is something we [analyzed] not so long time ago as an interesting alternative, due to its performance characteristics.
The Oracle Coherence was and is still being used for [the] distributed caching use-case, but it will be replaced eventually by Couchbase.
Though each of these products [has] its own strengths and weaknesses, we prefer sticking to Couchbase because of [the] experience we have with this product and because it is cost-effective for our organization.
100
There is a wide range of roles and teams where Couchbase is used.
Just a few examples:
- Devops - responsible with deployment Couchbase in various environments (pre-production, production). Provisioning hardware, maintaining deployment pipelines, upgrades, etc.
- Developers - interacting with couchbase client API and developing applications that use Couchbase as a storage.
- Architects - taking decisions of when using couchbase is a good fit depending on application type.
- Managers - approving scale-out for supporting increased load. This involves increased license cost.
10
The support is done mainly by a small devops team, which make sure that the couchbase servers used in development environment and production environment are stable, need upgrade or scale-out.
There is also an in-house support from developers responsible for maintaining various internal open-source projects related to various libraries related to couchbase interaction.
  • Low latency read-write storage (distributed caching)
  • Distributed session storage
  • Distributed storage for scheduled jobs
  • Customer activity tracking storage
  • Promotional platform for real-time personalised marketing promotions
  • High performant distributed execution of scheduled jobs
  • Second level distributed cache for reducing downstream load
  • Replacing relational storage used for various business flows with Couchbase
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