Integrations, Connectors, and Tools
- Capella Operational
- reference
Integrate Couchbase with your development ecosystem and production and deployment tools.
Third-party and community products and integrations — although not by and large supported by Couchbase (see Support Model section) — are a vital tool for most larger development projects.
These are examples of integrations that Couchbase or partners have developed to enhance Couchbase, Capella, and partner services.
Partner Integrations
Integration | Summary | Links | Capella | Self-managed | Support Model |
---|---|---|---|---|---|
LlamaIndex |
Use the Couchbase LlamaIndex integrations to quickly start developing AI applications with your Couchbase database and Python. You can use the Couchbase LlamaIndex Readers Integration to load documents from a Couchbase database, and use the other documentation and samples to get started. |
✔ |
✔ |
Community Supported |
|
LangChain |
Use the Couchbase LangChain integrations to quickly start developing AI applications with your Couchbase database. Use the document loader to get documents from a Couchbase database. Use the vector stores integration to create a Search index, store vectors, and run vector searches. Use semantic and conversational caches to reduce calls to Large Language Models (LLMs), accelerating your LLM responses and lowering your costs. |
Python
JavaScript |
✔ |
✔ |
Community Supported |
Hashicorp Terraform |
Deploy and manage your clusters with declarative configuration. |
✔ |
✖ |
Partner Supported |
|
Hashicorp Vault |
Securely manage your credentials for database access. |
✔ |
✔ |
Partner Supported |
|
Netlify |
Use Couchbase Capella and Netlify Serverless Functions to handle dynamic content without needing infrastructure. |
✔ |
✖ |
Couchbase Officially Supported |
|
Vercel |
Easy build and deploy for your applications. |
✔ |
✖ |
Couchbase Officially Supported |
|
Molo17 GlueSync |
Real-time, cloud-native data replication suite for NoSQL. |
✔ |
✔ |
Partner Supported |
|
ODBC / JDBC |
Easily access live Couchbase data from BI, Analytics, Reporting, ETL, & Custom Apps. |
✔ |
✔ |
Partner Supported |
|
ServiceNow |
Consolidate information about critical- and warning-level events in Capella by sending notifications to an incoming webhook on ServiceNow. |
✔ |
✖ |
Couchbase Officially Supported |
IDE Integrations
Integration | Summary | Links | Capella | Self-managed | Support Model |
---|---|---|---|---|---|
VS Code extension for Couchbase |
A seamless experience for Couchbase Server users who want to work within the popular Visual Studio Code editor. |
✔ |
✔ |
Couchbase Community Support |
|
VS Code extension for Couchbase Lite |
A seamless experience for Couchbase Mobile users who want to work within the popular Visual Studio Code editor. |
✔ |
✔ |
Couchbase Community Support |
|
JetBrains |
Provides support for Couchbase in JetBrains IDEs — to develop Couchbase applications, complete with code completion, syntax highlighting, and debugging support. |
✔ |
✔ |
Couchbase Community Support |
Data Tools
Import, export, and query data from the command line.
Integration | Summary | Links | Capella | Self-managed | Support Model |
---|---|---|---|---|---|
Couchbase Shell (cbsh) |
Interactive shell, based upon nushell, which you can use to extract, transform, and load different data formats in Couchbase. |
✔ |
✔ |
Couchbase Community Support (currently in Developer Preview) |
|
cbimport |
Utility for importing data into Couchbase databases. Included in self-managed Couchbase Server, or downloadable as part of the Capella Tools package. |
✔ |
✔ |
Couchbase Officially Supported |
|
cbexport |
Utility for exporting data from Couchbase databases. Included in self-managed Couchbase Server, or downloadable as part of the Capella Tools package. |
✔ |
✔ |
Couchbase Officially Supported |
|
cbbackupmgr |
A utility for backing up and restoring a Couchbase database. |
✔ |
✔ |
Couchbase Officially Supported |
Other Shells
Some languages, such as Ruby, come with REPLs (interactive shells) as standard — as is normal with many programming languages. Others have them available as Notebooks, such as Python, with Jupyter Notebook (which works with several different languages), through which you can interactively develop functionality for a Couchbase app, or blend with analytic tools and charts.
Big Data Connectors
Couchbase develops and supports connectors for:
-
Elasticsearch and OpenSearch
-
The Kafka Connect Framework
-
Apache Spark Data Processing Platform
-
The Tableau interactive data visualization platform
Couchbase ODBC and JDBC drivers enable any application based on the ODBC/JDBC standards, for example Microsoft Excel, QlikView, or SAP Lumira, as well as Tableau, to connect to a Couchbase Server or cluster.
Connector | Summary | Docs | Source | Other Integrations | Support Model |
---|---|---|---|---|---|
Elasticsearch |
Replicate your documents from Couchbase Server or Capella to Elasticsearch or OpenSearch in near real time. |
Couchbase Officially Supported |
|||
Kafka |
A plug-in for the Kafka Connect framework, which provides source and sink components. |
Couchbase Officially Supported |
|||
Spark |
Connect to the scalable computing engine for Big Data. |
Couchbase Officially Supported |
|||
Tableau |
Integrate Couchbase Server tabular views and the Tableau interactive data visualization platform. |
Couchbase Officially Supported |
SDK Language Ecosystem
Couchbase has SDKs in ten popular languages — C, C# (.NET), Go, Java, Kotlin, Node.js, PHP, Python, Ruby, and Scala.
If you develop in one of these languages, you may be interested in (or already using) other libraries in that language’s ecosystem, and wondering if it will integrate with Couchbase.
There are too many third party integrations to evaluate and list (and absence of a mention in these pages is no judgement on importance or quality), but the following are well worth investigating:
While Couchbase can’t evaluate and list every possible third-party integration, we’ve provided a list of some you might consider in the sections below.
Integration | SDK Language / Ecosystem | Summary | Links | Capella | Self-managed | Support Model |
---|---|---|---|---|---|---|
Spring Data Couchbase |
JVM (Java, Kotlin, Scala) |
A familiar and consistent Spring-based programming model for new datastores with store-specific features and capabilities. Key functional areas of Spring Data Couchbase are a POJO centric model for interacting with Couchbase Buckets and easily writing a Repository style data access layer. |
✔ |
✔ |
Couchbase Officially Supported |
|
Ottoman |
Node.js |
ODM (Object Document Mapper) for Couchbase. Adds an abstraction layer over Couchbase Node.js SDK and significantly reduces the level of boilerplate needed during application development. |
✔ |
✔ |
Couchbase Officially Supported |
|
Laravel |
PHP |
Extends the original Laravel classes to make an Eloquent model and Query builder with support for Couchbase. |
✔ |
✔ |
Community Supported |
|
Rails Cache Store |
Ruby-on-Rails |
Speeds up your Rails application with caching — storing content generated during the request-response cycle and reusing it when responding to similar requests. |
✔ |
✔ |
Community Supported |
Support Model
Support Level | Definitions |
---|---|
Partner Supported |
This integration is developed and supported directly through the partner. Couchbase provides support for the Couchbase components and interfaces. |
Couchbase Community Supported |
Open source integration that is developed by Couchbase. Issues can also be raised in the relevant GitHub repositories or via Couchbase forums or Discord. Support is provided best effort by development team |
Couchbase Officially Supported |
Open source integration that is developed by Couchbase and officially supported. A subscription to the Enterprise Edition of Couchbase includes technical support with service level commitments via our 24/7 support organization. Issues can also be raised in the relevant GitHub repositories or via Couchbase forums or Discord. |
Community Supported |
Open source integration that is developed and supported directly by third party community contributor. Issues can also be raised in the relevant GitHub repositories. |