Azure Cosmos DB vs Couchbase: What are the differences?
Developers describe Azure Cosmos DB as "A fully-managed, globally distributed NoSQL database service". Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. On the other hand, Couchbase is detailed as "Document-Oriented NoSQL Database". Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
Azure Cosmos DB can be classified as a tool in the "NoSQL Database as a Service" category, while Couchbase is grouped under "Databases".
Some of the features offered by Azure Cosmos DB are:
- Fully managed with 99.99% Availability SLA
- Elastically and highly scalable (both throughput and storage)
- Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes
On the other hand, Couchbase provides the following key features:
- JSON document database
- N1QL (SQL-like query language)
- Secondary Indexing
"Best-of-breed NoSQL features" is the top reason why over 13 developers like Azure Cosmos DB, while over 13 developers mention "Flexible data model, easy scalability, extremely fast" as the leading cause for choosing Couchbase.
According to the StackShare community, Couchbase has a broader approval, being mentioned in 45 company stacks & 21 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 24 developer stacks.
What is Azure Cosmos DB?
What is Couchbase?
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We use Couchbase heavily in our PowerStandings platform to enable real-time analytics of agent data, as well as data storage for parts of our new Playbooks product.
Main data storage. Any writes to Couchbase auto-replicate to Elasticsearch (via XDRC) and from there on propagate into the internal Jezebel pipeline via opes.
If you need a document-based database with geo-redundancy (imagine AU-HU distance), this is the way to go.