Azure Cosmos DB for NoSQL vs LanceDB
Azure Cosmos DB for NoSQL
azure.microsoft.comLanceDB
lancedb.comSide by side
| Figure | Azure Cosmos DB for NoSQL | LanceDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 2 |
| Spec score · Ai Databases | 8.1 (#12) | 7.8 (#21) |
| Spec score · Database Software | 8.1 (#42) | 7.3 (#72) |
| Integrations | Change feed supports event-driven architectures and streaming pipelines using Azure Functions and Spark. | Lance Namespace supports integrations including Apache Hive Metastore, AWS Glue Catalog, and Apache Spark. |
| Search | It offers built-in vector and hybrid similarity search for workloads including RAG and AI agents. | It supports vector or semantic search, full-text search, and hybrid search with SQL filters. |
Plans
Azure Cosmos DB for NoSQL
- Free tierFree
- 30-day free trialPriced on request
- Standard provisioned throughputPriced on request
- Standard provisioned throughputPrice not published
- Autoscale provisioned throughputPriced on request
- Autoscale provisioned throughputPrice not published
- ServerlessPriced on request
- ServerlessPrice not published
- Azure Cosmos DB free tierFree
- Azure Cosmos DB for NoSQL — standard provisioned throughputPrice not published
In their own words
Azure Cosmos DB for NoSQL
Azure Cosmos DB for NoSQL is a fully managed cloud database built around schema-agnostic JSON documents and SQL-like querying. It supports global data distribution, multi-region writes, and automatic failover, with configurable consistency controls and transactions. Search includes vector and hybrid similarity capabilities for workloads such as retrieval-augmented generation and AI agents. Throughput can use standard provisioned, autoscale provisioned, or serverless models. The service lists SDKs for.NET, Java, JavaScript/Node.js, Python, Go, and Rust. Its change feed can support event-driven architectures and streaming pipelines using Azure Functions and Spark; no-ETL analytical workflows are available through Azure Synapse Link or Fabric mirroring. Microsoft states that NoSQL data has service-level agreements including less than 10 millisecond read and write latency and 99.999 percent availability. A free tier includes 1,000 RU/s and 25 GB of storage for one account per Azure subscription, and a 30-day trial is listed. The Azure Cosmos DB emulator provides a no-cost local development environment for Windows or Linux. The pricing page notes that the selected compute pricing model and API cannot be changed after selection.
LanceDB
LanceDB is an open-source, AI-native multimodal lakehouse for developing training datasets. It brings raw bytes, enriched features, metadata, and embeddings into searchable tables. Search supports vector or semantic queries, full-text search, and hybrid queries with SQL filters. Dataset curation includes deduplication and identifying edge cases for labeling. Users can write local Python UDFs and run declarative feature pipelines at petabyte scale, according to the product page. Writes are automatically versioned, allowing branches, rollbacks, and experiment tags without duplicating data. The Enterprise suite covers Search, Exploratory Data Analysis, Feature Engineering, and Training, with platform-level index and table limits and safety checks for operations such as merge_insert. Lance Namespace names Apache Hive Metastore, AWS Glue Catalog, and Apache Spark integrations. Workloads can be distributed through Ray and KubeRay on on-premises or cloud clusters. LanceDB OSS is free for local or storage-path connections.