Azure DocumentDB vs DocumentDB

Azure DocumentDB is a document database for applications using BSON and JSON. It supports transactions and vector search, with a maximum document size of 16.0 MB. Deployment options include managed cloud and another deployment model; listed platforms are Linux, macOS, and Windows. The Free Tier is billed Free for the life of the cluster and includes 32 GB of storage and one free database server per subscription. Fixed M-series plans provide different node capacities: M10 starts with 1 vCore and 2 GiB of memory per node, while M300 lists 96 vCores and 384 GiB per node. Between those are configurations with varying memory and compute, including burstable vCores on M25. M200-Autoscale is billed hourly according to usage and offers up to 64 vCores and 256 GiB of memory. Prices for the listed paid tiers are displayed as $-, with actual amounts depending on region and currency. This gives prospective users concrete capacity specifications alongside the free cluster allowance.

DocumentDB is an MIT-licensed, open-source document database built on PostgreSQL for MongoDB compatibility. It stores native BSON documents, supports document CRUD and PostgreSQL SQL operations, and offers single-field, multi-key, compound, text and geospatial indexes, including nested fields. Pgvector powers vector search for embeddings and similarity search. MongoDB-compatible clients and tools include mongosh, PyMongo, the official MongoDB Node.js driver and a VS Code extension. The extension can create a local database, generate credentials and save a connection. DocumentDB runs locally in Docker or on a user’s infrastructure or cloud. Its gateway supports SCRAM-SHA-256 authentication, with TLS terminating at default port 10260. Hosted packages currently cover Ubuntu 24.04 and EL9 with PostgreSQL 17 or 18 for amd64 and arm64. A Kubernetes operator for failover, replication, backups and TLS is in preview and requires Kubernetes 1.35+ and cert-manager.