For vendors— is your company listed?

Claim a listing Submit a listing Promote your company Pricing & info

Directory Data & AnalyticsDatabase PlatformsCouchDB (Apache)

CouchDB (Apache)

Open Source

Visit Website Claim this listing

About CouchDB (Apache)

Apache CouchDB is a database that syncs data across server clusters, mobile phones, and web browsers using the Couch Replication Protocol.

Key Capabilities

✓Multi-primary replication and synchronization
✓Crash-resistant append-only storage engine
✓HTTP/JSON native API compatibility
✓Offline-first data synchronization support
✓Scalable single-node to clustered deployments

Integrations

HTTP proxy serversLoad balancersPouchDB for mobile and web replication

Other Database Platforms Vendors

Related Buyer Guides

Independent evaluation frameworks for this category.

AI/ML Platforms

Compare Databricks Mosaic AI, AWS SageMaker, Azure Machine Learning, Google Vertex AI, Snowflake Cortex, Dataiku, DataRobot, and Weights & Biases on the question this category actually turns on — getting governed models into production and keeping them healthy, not the accuracy of a one-off notebook.

Business Intelligence & Analytics

Evaluate Power BI, Tableau, Qlik, Looker, ThoughtSpot, Sigma, Amazon QuickSight, Strategy, SAP Analytics Cloud, and Domo on the question that decides BI value — whether self-service freedom and a governed semantic layer can coexist, not whose charts look best.

Cloud Data Warehouse

Enterprise evaluation framework for Cloud Data Warehouse platforms.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? Claim this listing or .

Quick Facts

couchdb.apache.org

CategoryData & Analytics

SubcategoryDatabase Platforms

PricingOpen Source

DeploymentOn-Premises, Cloud, Open Source

Target SizeEnterprise

Explore

All Data & Analytics vendors Browse Database Platforms Compare with filters Full vendor directory

Related Articles

Evaluating Your Current Data Landscape The BI Transformation Process Setting Meaningful Data Goals