Azure Cosmos DB vs Neo4j: 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, Neo4j is detailed as "The world’s leading Graph Database". Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Azure Cosmos DB can be classified as a tool in the "NoSQL Database as a Service" category, while Neo4j is grouped under "Graph 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, Neo4j provides the following key features:
- intuitive, using a graph model for data representation
- reliable, with full ACID transactions
- durable and fast, using a custom disk-based, native storage engine
"Best-of-breed NoSQL features" is the primary reason why developers consider Azure Cosmos DB over the competitors, whereas "Cypher – graph query language" was stated as the key factor in picking Neo4j.
Neo4j is an open source tool with 6.56K GitHub stars and 1.62K GitHub forks. Here's a link to Neo4j's open source repository on GitHub.
Movielala, Hinge, and Sportsy are some of the popular companies that use Neo4j, whereas Azure Cosmos DB is used by Microsoft, Rumble, and Property With Potential. Neo4j has a broader approval, being mentioned in 114 company stacks & 47 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 23 developer stacks.
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