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Couchbase Server Enterprise Edition

Couchbase  Server logo
Couchbase  Server logo

Couchbase Server Enterprise Edition

By Couchbase

Certified enterprise ready

Develop with agility and deploy on any cloud, at any scale. Couchbase Autonomous Operator 2.0 is a landmark release that’s built to take advantage of the latest Kubernetes improvements in the areas of security and custom resources.

Software version

Autonomous Operator v2.0

Runs on

OpenShift 4.3

Type

Operator

Built on the most powerful NoSQL technology, Couchbase Server delivers unparalleled performance at scale, in any cloud. With features like memory-first architecture, geo-distributed deployments, and workload isolation, Couchbase Server excels at supporting mission-critical applications at scale while maintaining submillisecond latencies and 99.999% availability. Plus, with the most comprehensive SQL-compatible query language (N1QL), migrating from RDBMS to Couchbase Server is easy with ANSI join

Unmatched agility and flexibility

Support rapidly changing business requirements with the flexibility of JSON and the power of a comprehensive query language (N1QL). Develop engaging applications with multiple access methods from a single platform: key-value, query, and search. Event-driven workloads allow you to execute data-driven business logic from a centralized platform.

Unparalleled performance at any scale

Deliver consistent, fast experiences at scale, powered by a memory-first architecture. High-performance indexes and index partitioning provides unparalleled query performance with complex joins, predicates, and aggregate evaluations. And, with end-to-end data compression, Couchbase significantly reduces the cost of network, memory, and storage required for your existing workloads.

Easiest platform to manage

Deploy Couchbase Server in any cloud, at any scale. Reduce operational overhead with cloud integrations like Kubernetes, and support multi-cloud deployments globally with built-in support for active-active cross datacenter replication (XDCR).

Pricing summary

Plans starting at

View all pricing options

Up to 8 cores

Up to 65 GB RAM

Annual Subscription

Additional resources

Want more product information? Explore detailed information about using this product and where to find additional help.

DOCUMENTATION

Fully Configured Couchbase on OpenShift in 5 Minutes

Couchbase Director of PM, Anil Kumar, fully configures Couchbase on OpenShift

COMMUNITY

Blog: Why Couchbase is the Best NoSQL Option OpenShift

Why Couchbase is the Best NoSQL Option OpenShift - Blog

DOCUMENTATION

Installing Couchbase on OpenShift

Deploying the Couchbase Operator on OpenShift

DOCUMENTATION

Red Hat Podcast - NoSQL Databases for the Multicloud Environment

Red Hat Podcast - NoSQL Databases for the Multicloud and its Prominence in Industries Today Featuring: Couchbase

DOCUMENTATION

Modernize data workloads using Couchbase on Red Hat OpenShift

Data workloads should be one of your key considerations in cloud-native infrastructure adoptions. Couchbase and Red Hat® OpenShift® enables portability of both applications and databases across on-premises and multcloud envinronments.

COMMUNITY

A Cloud-Native, Fully Autonomous Database Management Platform

Blog: Couchbase Autonomous Operator 2.0 For Kubernetes Is Now GA

COMMUNITY

Use Prometheus to Monitor Couchabse Autonomous Operator 2.0

One Chart to Rule Them All With the release of Couchbase Autonomous Operator 2.0, the Couchbase Operator and Cluster charts have been consolidated into a single chart.

COMMUNITY

Deploying Couchbase Mobile Backend on Kubernetes

In this post, we provide an overview of how to deploy Sync Gateway on Kubernetes while leveraging the client authentication enhancements introduced in Couchbase Autonomous Operator 2.0.

COMPANY INFORMATION

Couchbase Server Enterprise Edition

Visit the homepage of the software provider.

Reviews

Read what others are saying about this product in our review section.

Showing 1-5 of 66

  • Illia G.

    Illia G.

    DevOps Engineer at Playtika

    Verified Current User
    Review source: Invitation from G2
    Verified Current User
    Review source: Invitation from G2
    Not ratedMay 22, 2020

    "It is one of the best NoSQL solutions I have ever worked with!"

    What do you like best?

    Easy manage big amount of data, fast, compatible with a big quantity of legacy applications and very simple to work with. Great both vertical and horizontal scaling. N1QL is SQL based - very simple and intuitive. Data storage in JSON. High availability. Data and traffic encryption. Couchbase Mobile is a great stuff.

    What do you dislike?

    Some issues on clustering and data replication - it hasn't full coherence between clusters. Dashboard is not very user friendly, as for me. It is sometimes slow and difficult to work with it for newbies, not intuitive.

    Recommendations to others considering the product:

    You have to try Couchbase out and I am sure that it will meet your requirements and solve your problems. It is easy to use, easy to implement and easy to manage. And despite these, it is reliable and secure. Also, make sure that you aware of all features to have maximum of benefits and pleasure from using Couchbase.

    What problems are you solving with the product? What benefits have you realized?

    We use Couchbase like cache and like dynamic database to store user's sessions etc. It is great solution, as Couchbase is very quick, simple, secure and reliable.

  • Asif C.

    Asif C.

    Software Engineer at Cefalo

    Review source: Invitation from G2
    Review source: Invitation from G2
    Not ratedJul 20, 2020

    "I have worked with Couchbase extensively for several projects as a primary Database."

    What do you like best?

    Analytics Engine, Query Indexing,Full text search, Scalability, Reliability, Faster development, easy deployment, cluster management, Easy migration.

    What do you dislike?

    Bucket Limitation per cluster. Slow for large datasets. Memory expensive

    Recommendations to others considering the product:

    I would say to spend more time with the data modeling techniques because even if couchbase is serving good amount of services but if the data model is not efficient enough then using couchbase can be a overkill for small startup projects as its moderately cost and cpu expensive.

    What problems are you solving with the product? What benefits have you realized?

    We are developing a social networking site and for that we are using couchbase to be performed as an entity database along with Neo4j which is responsible for handling our graph services. As a social networking site we have to index so many different entity type along with the queries for each entities which was a very helpful as we were not getting an efficient query indexing engine along with any other dbms thats number one and the couchbase analytics engine made our task easier to monitor and analyze database cluster.

  • Sakthivel S.

    Sakthivel S.

    Full Stack Web Developer at Controltech Corporation

    Review source: Invitation from G2
    Review source: Invitation from G2
    Not ratedJul 22, 2020

    "Using couchbase in e-commerce inventory management system"

    What do you like best?

    I used couchbase to store and retrieve inventory related data for an e-commerce website. Couchbase provides a robust SDK for multi platform integration. All we did was to build a wrapper layer around it and integrated with our inventory API. Ease of use and solid documentation played a vital part in the success of the integration. I also liked their dashboard where a lot of server health related metrics were updated in realtime. I also liked the ability to search and view the stored documents from the dashboard.

    What do you dislike?

    Documents search feature can be improved like adding advanced search options which can improve the entire search user experience

    What problems are you solving with the product? What benefits have you realized?

    We used couchbase to improve the overall user experience in the e-commerce website by maintaining inventory data. Couchbase was much faster and was able to handle a lot of load than a traditional relational SQL database which was a huge benefit.

  • Bharat G.

    Bharat G.

    Software Developer at Sabre Corporation

    Verified Current User
    Review source: Invitation from G2
    Verified Current User
    Review source: Invitation from G2
    Not ratedJul 18, 2020

    "A document based nosql db which can be queried like sql !"

    What do you like best?

    The query service for interacting with db is so powerful and awesome. Multiple Views can be created for your needs. Various indexes can be created to make querying fast.

    What do you dislike?

    There is a scope for improvement in time taken for node rebalancing and syncing. Time taken for indexes can be reduced.

    What problems are you solving with the product? What benefits have you realized?

    I have used couchbase to store travel related data in documents which can be indexed and various views can be created. It supports multi threading like a charm. Created various views and used map reduce to suit my needs.

  • Faozul A.

    Faozul A.

    Senior Software Engineer at UgoRound Australia

    Review source: Invitation from G2
    Review source: Invitation from G2
    Not ratedMay 30, 2020

    "One Platform to Rule Them All"

    What do you like best?

    I am using Couchbase as the main database of my current project. But great thing is that when it comes to storing temporary or using cache-based database, I don't have to use another solution, Couchbase have already the memcached solution. Using the memcache style buckets provided by Couchbase was much more efficient and flexible than memcached. Another amazing feature which I get is, I don't need to store data in another storage for implementing elastic sesrch. which is very convenient for the development purposes. It also has some languages support which exactly I needed for the Full Text Search implementation. The cross data center replication allows me to keep the system running all the time by configuring replication and data is always available. I didn't need to learn another quey language, cause the N1QL is so much like MySQL and PostgreSQL which were my previous skills. Making Ad-hoc queries using the analytics service was very flexible, specially as it is possible to run on separate nodes in a cluster.

    What do you dislike?

    Basically there is nothing I dislike about Couchbase. But for the first time it was hard for me to setup channel filter. But its easier now.

    Recommendations to others considering the product:

    When you can get the sweet taste of NoSQL in accordance with Full-Text Search and Memcached in one place, definitely Couchbase is your hero. Ensuring data integrity and availability with the XDCR, things are awesome and smooth. When you are an enterprise user of Couchbase, you will have great support from the team starting from before purchasing the enterprise solution. One important thing, take the free and/or paid tutorial provided by Couchbase which is helpful while designing the system and data structure.

    What problems are you solving with the product? What benefits have you realized?

    I am using extensively Couchbase buckets for storing and reading geo spatial data which is the main feature of the system I am developing. And I can use the geo spatial queries provided by the Couchbase. Also, I didn't have to use the Elastic sesrch and store data again there. I just used the already-there FTS aka Full Text Search feature in Couchbase. I didn't have to use Redis because Couchbase is giving me plain-old-memcached mode, which is awesome! When it was about deployment, process was easier and I had help from the Couchbase support team, a great relief.