Databases

General-purpose SQL databases that run most of the world's transactional workloads.

PostgreSQL, MySQL, SQLite

Extensions and companion tools that turn Postgres into a vector, geo, time-series, search or sharded database.

pgvector, PostGIS, TimescaleDB

Horizontally scalable and serverless SQL databases for global, elastic or branchable workloads.

Amazon Aurora, Neon, PlanetScale

Schema-flexible document stores and wide-column databases for high-scale, high-write workloads.

MongoDB, Amazon DynamoDB, Apache Cassandra

In-memory caches and embedded or distributed key-value stores for speed, coordination and storage engines.

Redis, Valkey, Memcached

Databases optimized for relationships and traversals, increasingly used for knowledge graphs and GraphRAG.

Neo4j, Memgraph, FalkorDB

Full-text, faceted and hybrid search engines for site search, logs and product discovery.

Elasticsearch, OpenSearch, Algolia

Databases purpose-built for storing and querying embeddings, the fastest-growing database category.

Pinecone, pgvector, Qdrant

Databases optimized for timestamped metrics, events, IoT and financial tick data.

InfluxDB, TimescaleDB, Prometheus

Columnar databases and warehouses for fast aggregations over large datasets and real-time analytics.

ClickHouse, DuckDB, Snowflake

In-process databases and sync engines for apps that work offline and feel instant.

SQLite, DuckDB, PGlite

Hosted or self-hostable backends bundling a database with auth, storage, realtime and functions.

Supabase, Firebase, Convex

Desktop, web and terminal clients for exploring data, writing queries and administering databases.

DBeaver, DataGrip, pgAdmin

Version-controlled schema changes, declarative migrations and database CI/CD.

Flyway, Liquibase, Atlas