Alternatives to Pinecone
Pinecone: Fully managed vector database: serverless dense, sparse and full-text indexes on AWS, GCP or Azure, with hosted embedding and reranking models, Pinecone Assistant for chat and agent apps, and bring-your-own-cloud on Enterprise. Free Starter plan. Looking for something different? Here are other tools in Databases & Backend.
Supabase
Open-source Postgres development platform with auth, storage, realtime and edge functions.
Firebase
Google's app development platform with Firestore, auth, hosting and cloud functions.
Neon
Serverless Postgres with branching and autoscaling.
PlanetScale
Managed MySQL (Vitess) and Postgres database platform built for scale.
Convex
Reactive backend with a TypeScript-native database, functions and realtime sync.
RDST
Readyset's open-source desktop agent that watches PostgreSQL or MySQL read-only, flags slow or regressed queries and proposes index, setting or rewrite fixes.
Glider
Open-source single-node vector database in Rust that makes every acknowledged write durable in S3-compatible storage, with filtered nearest-neighbor search over an HTTP API, a Python client and an MCP memory server for agents.
KiviDB
Open-source (AGPL-3.0), multi-threaded Redis and Valkey alternative written in Rust that speaks RESP2/RESP3, so existing Redis clients work unchanged, with full-text and vector search built in; self-host it or use KiviDB Cloud.
Durable Actors
Open-source (MIT) alternative to Cloudflare Durable Objects from Terse: stateful serverless actors with their own SQLite database and serialized execution, for chat, collaboration and multi-agent apps, with TypeScript and Python SDKs.
Busabase
Open-source (MIT) database and workspace that acts as a system of record for AI agents: agents and people share data, docs, skills and apps, every change keeps its history, and important writes can wait for review; desktop, self-hosted or Busabase Cloud.
Alkera
Agentic data platform where data engineers, analysts and agents collaborate in multiplayer notebooks and chats, with column-level lineage and a knowledge base; built on the open-source Databench workspace, free tier available.
TablePro
Free, open-source (AGPL-3.0) native database client written in Swift, pitched as an open TablePlus: connects to 30+ SQL and NoSQL databases through native drivers, with built-in AI chat, inline suggestions and an MCP server for Cursor, Raycast or Claude Desktop (bring your own key or run Ollama). macOS and iOS/iPad; extras like iCloud Sync are paid, Linux version in development.
Egres
Open-source (Apache-2.0) Postgres-compatible database written in Zig by Dgraph founder Manish Jain for heavy, multi-tenant workloads: speaks the Postgres protocol so psql, drivers and ORMs connect unchanged, runs on local disk or S3, compresses storage, needs no VACUUM, branches databases and tables instantly and meters resources per query. First release is single node with basic queries (equality-only, no joins).
GenesisDB
Event sourcing database, open source under MIT since version 2.0 (Oct 24, 2026) with no editions, license keys or event limits: one static Go binary storing CloudEvents 1.0 records in a subject tree, with precondition-guarded batch commits, the GDBQL query language, live subscriptions over Server-Sent Events, a SHA-256 hash chain you can audit in one request, GDPR erasure, backups, Prometheus/OpenTelemetry metrics and an embeddable Go mode. Runs from one Docker command; SDKs and a VS Code extension.
Qdrant
Open-source (Apache-2.0) vector database and search engine written in Rust: filtered vector search you can self-host, or run on Qdrant Cloud on AWS, GCP or Azure with a free 1 GB cluster, usage-based dedicated clusters, and hybrid or private cloud on your own infrastructure.
Weaviate
Open-source (BSD-3-Clause) vector database that stores objects and vectors together, with hybrid search, filtering, multi-tenancy and vector compression. Self-host it or use Weaviate Cloud, which adds hosted embeddings and a Query Agent; free cluster for 100,000 objects.
Chroma
Open-source (Apache-2.0) search infrastructure for AI: vector, full-text and metadata search. Self-host it or use serverless Chroma Cloud, billed per GiB written, stored and queried, with free credits to start.
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