Couchbase
Distributed NoSQL document database with cloud service and mobile sync
About Couchbase
Couchbase develops a distributed JSON document database that supports SQL-like queries, caching, search and mobile synchronization. Its Capella service delivers it as managed database-as-a-service and it has added vector search for AI applications. The company went private following an acquisition by Haveli Investments in 2025.
Common use cases
- Customer profile stores
- Mobile and edge apps
- Real-time personalization
- AI application data
Social listening
What people are saying about Couchbase
Reviewers value Couchbase's speed, built-in caching and mobile sync, and buyers typically plan for onboarding, tuning and search choices.
What stands out
- Reviewers report fast real-time access and notable latency reductions after moving from SQL or other stores.
- Built-in caching reduces the need for separate cache components.
- Sync Gateway is valued for mobile and web synchronization.
- Node failure handling and rebalancing are seen as dependable for availability.
- Enterprise support and documentation get credit from some reviewers.
Things to consider
- Plan time to learn buckets, scopes, collections and vBuckets, and to tune memory quotas and indexes.
- Worth planning backup restores across versions and Couchbase Mobile upgrades.
- Worth evaluating built-in full-text search against your needs.
- Large clusters may need vendor help, and smaller companies should ask for a scoped estimate.
Often compared with: MongoDB, Amazon DynamoDB, Redis, Cassandra, Azure Cosmos DB
Sources (2)
- Couchbase pros and cons on PeerSpot Review site
- Couchbase reviews on TrustRadius Review site
Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.
Products and services
Couchbase Capella
Managed database-as-a-service.
Couchbase Server
Self-managed NoSQL database.
Couchbase Mobile
Embedded database and sync for edge and mobile apps.
Key features
- JSON document store
- SQL++ queries
- Full-text and vector search
- Mobile sync
- Multi-region replication
- In-memory performance
Integrations
- Kafka
- Spark
- Kubernetes
- AWS
- Microsoft Azure
- Google Cloud
- LangChain
Couchbase alternatives
FAQs
Is it SQL or NoSQL?
It is a NoSQL document database that supports a SQL-like query language, SQL++.
Does it support vector search?
Yes, vector search is available for AI applications.
How can it be deployed?
As managed Capella cloud service or self-managed in cloud or on-premises.

Compare with similar providers
All Data Infrastructure providers- ActiveloopMultimodal AI data lake and vector store (Deep Lake)
AerospikeReal-time NoSQL database built for low-latency, high-throughput workloads- ApertureDataMultimodal database for AI with vector search and graph
- ArangoGraph-native multi-model data platform for AI applications and agents
- ArangoDBMulti-model database combining graph, document and search
- DataStaxCassandra-based database platform with vector search for generative AI
- ElasticSearch and analytics platform behind Elasticsearch, with vector search
- GraphwiseKnowledge graph, semantic AI and GraphRAG software (merger of Ontotext and Semantic Web Company)
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