# Analytics

> Browse 10 items tagged with Analytics.

## Items

- [DuckDB](https://vectordb.ever.works/items/duckdb) — Embeddable SQL OLAP engine with VSS extension for low-latency HNSW vector search on local files, ideal for edge AI prototyping and analytics. SQL-first approach for on-device vector ops vs cloud vector DBs like Qdrant.
- [Rockset](https://vectordb.ever.works/items/rockset) — Real-time analytics database with vector search capabilities, built on RocksDB with converged indexing. Acquired by OpenAI in 2024 to power retrieval infrastructure. This was a commercial service.
- [ClickHouse](https://vectordb.ever.works/items/clickhouse) — ClickHouse is a columnar OLAP database with vector indexes (ANN via AMM, brute-force), supporting SQL queries over vectors + structured data at petabyte scale. Excels in aggregations with vectors. For analytics workloads with embeddings; faster ingestion than Postgres pgvector for big data.
- [MyScale](https://vectordb.ever.works/items/myscale) — Cloud-native vector database built on ClickHouse for high-performance vector search and analytics.
- [OpenSearch](https://vectordb.ever.works/items/opensearch) — Open-source search and analytics suite with native k-NN vector search capabilities.
- [SingleStore](https://vectordb.ever.works/items/singlestore) — Analytics and vector database supporting real-time analytics combined with vector search. Handles high-performance queries on large-scale datasets.
- [ClickHouse Vector Search](https://vectordb.ever.works/items/clickhouse-vector-search) — ClickHouse extension for vector similarity search using HNSW indexes, combining analytical SQL queries with ANN in a columnar relational database. Features ACID-like consistency for hybrid workloads on existing ClickHouse infrastructure. More efficient than dedicated VDBs for analytics+vector use cases.
- [Nomic Atlas](https://vectordb.ever.works/items/nomic-atlas) — AI-ready data visualization platform for massive datasets of embeddings. Atlas enables interactive exploration of millions of vectors in your web browser, with automatic dimensionality reduction and semantic clustering.
- [StarRocks](https://vectordb.ever.works/items/starrocks) — Open-source high-performance analytical database with vector search capabilities. Features IVFPQ and HNSW indexing for approximate nearest neighbor search in v3.4+. This is an OSS database under Apache 2.0, a Linux Foundation project.
- [Trieve](https://vectordb.ever.works/items/trieve) — Trieve provides an all-in-one infrastructure for vector search, recommendations, retrieval-augmented generation (RAG), and analytics, accessible via API for seamless integration.

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