KDB.AI
6.2#16 in vector databasesFree planFree planWebAPISelf-hosted
VisitKDB.AI vs Pinecone
Pinecone
7.8#3 in ai search and discovery platforms softwareFrom $20 a monthFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | KDB.AI | Pinecone |
|---|---|---|
| Founded | 1993 | 2019 |
| Headquarters | Newry, Northern Ireland, UK | New York City, New York, United States |
| Integrations | The documentation lists LangChain, Vector IO, and LlamaIndex integrations. | The partner ecosystem covers AI and machine-learning tools, search, cloud infrastructure and services integrations. |
| Product | KDB.AI is a vector database and search engine for building AI applications with real-time data. | Pinecone describes its product as a fully managed vector database built for AI workloads. |
| Search | It supports hybrid search combining dense and sparse vector search, metadata filtering, and temporal similarity search. | The database supports dense, sparse, and full-text indexes, metadata filters, and namespaces. |
KDB.AI plans
- KDB.AI Cloud Starter EditionFree
- KDB.AI Server Standard EditionPriced on request
Pinecone plans
- Builder$20 a month
- Standard$50 a month
- Enterprise$500 a month
- StarterFree
- Bring your own cloud (BYOC)Priced on request
Pick KDB.AI if…
KDB.AI is for developers building AI applications that need vector search over real-time or multimodal data. Its managed and self-managed options may suit teams choosing between cloud use and their own deployment.
Pick Pinecone if…
Pinecone suits teams building AI applications that need vector search, recommendations, or retrieval-augmented generation. Its web and API access, integrations, and multiple index types support varied implementation needs.