18.7
Chroma is open-source data infrastructure for AI that stores embeddings and metadata and supports search and retrieval across text, images, and other modalities.
Free planOpen sourceAndroidiOSWeb
Best AI Databases in 2026
AI databases store and retrieve data for search, recommendations and AI applications. This category includes hosted services, APIs and software you can run yourself. Compare free plans, starting prices, deployment choices and platform access. If you plan to work from a Xiaomi, Redmi or POCO phone or tablet, check whether the service has an Android app or a mobile-friendly web interface.
28.4
Vespa is an AI search platform for online, data-driven applications, combining retrieval, ranking, machine-learning inference, and real-time serving.
Open sourceWebAPILinux
38.1
SingleStore Helios is a cloud database-as-a-service available on AWS, Google Cloud, and Microsoft Azure.
Free planWebAPILinux
- 4
ClickHouse Cloud
ClickHouse Cloud is a managed service for real-time analytics, observability, and AI-powered data applications.
Open sourceWebAPILinuxmacOS7.9From $25.30 a month - 5
Pinecone
Pinecone is a fully managed vector database for AI workloads, available through web and API access.
Free planWebAPILinuxmacOS7.8From $20 a month - 6
Supabase
Supabase is a backend platform built around a Postgres database, with services for authentication, file storage, realtime data, and server-side functions.
Free planAndroidiOSWebAPI7.6From $25 a month - 7
Kinetica
Free planWebAPILinuxmacOS7.1$1.80 usage-based - 8
Neon
Neon is a managed, cloud-hosted PostgreSQL service for relational databases.
Free planWebAPILinuxmacOS7.1$0.11 usage-based - 9
Weaviate
Weaviate is an open-source AI vector database for storing, indexing, and searching high-dimensional vectors.
Free planWebAPILinuxSelf-hosted7.1$45 usage-based - 10
Qdrant
Qdrant is a vector similarity search engine and API for storing, searching, and managing vectors alongside payload data.
Free planWebAPILinuxmacOS6.9Free plan - 11
SurrealDB
SurrealDB is a database platform with relational, document, graph, vector and time-series data built in.
Free planSelf-hosted6.8From $0.19 a month - 12
Elasticsearch
Elasticsearch is an open-source distributed search and analytics engine for applications involving speed, scale and AI.
WebAPILinuxSelf-hosted6.7From $99 a month - 13
OpenSearch
OpenSearch is a community-driven, open-source suite for ingesting, searching, visualizing, and analyzing data.
Free planWebAPILinuxmacOS6.7Free plan - 14
Redis Insight
Redis Insight is a free developer tool for working with Redis through a graphical interface and command line.
Free planWebLinuxmacOSSelf-hosted6.7Free plan - 15
Vecto
Vecto converts raster images into editable SVG files, tracing logos, icons, illustrations, scans, and photos.
Free planLinuxmacOSWindows6.7$7.99 one-time - 16
Tigris
Free planWebAPISelf-hosted6.6$0.01 usage-based - 17
YugabyteDB Anywhere
YugabyteDB Anywhere (YBA) is a self-managed database-as-a-service for deploying and operating YugabyteDB universes.
Free planWebAPILinuxSelf-hosted6.5Free plan - 18
Milvus
Milvus is a free, open-source vector database for GenAI applications, developed by Zilliz.
Free planAPILinuxSelf-hosted6.4Free plan - 19
SAP Extended Enterprise Content Management by OpenText
AndroidiOSWebLinux6.4 - 20
Zilliz Cloud
Zilliz Cloud is a managed Milvus service for deploying and scaling vector search applications.
Free planWebAPI6.4Free plan - 21
Amazon Aurora
Amazon Aurora is a fully managed relational database service offering PostgreSQL, MySQL, and DSQL engines.
Free planAPI6.3Free plan - 22
Azure Cosmos DB for NoSQL
Azure Cosmos DB for NoSQL is a cloud database service that lists JSON documents, transactions, configurable consistency controls, multi-region…
Free planAPISelf-hosted6.3Free plan - 23
Cloudflare Vectorize
Cloudflare Vectorize is a cloud-hosted vector database for building AI-powered applications with Cloudflare Workers.
Free planWebAPI6.2Free plan - 24
KDB.AI
KDB.AI is a vector database and search engine for building AI applications with real-time data.
Free planWebAPISelf-hosted6.2Free plan - 25
LanceDB
LanceDB is an AI-native multimodal lakehouse for developing training datasets.
Free planAPILinuxSelf-hosted6.2Free plan
Choosing well
Check the pricing path
A free plan can help you prototype without a subscription. Paid entry points in this category range from $1 to $250 per month, while other services list trials instead.
Read the pricing note for limits and trial length. Examples include 14-day and 30-day trials, plus free plans that move to paid usage.
Choose where it runs
Deployment options include web, API and self-hosted setups. Web access needs a browser, while an API suits an app or backend that sends queries programmatically.
Linux, macOS and Windows are also listed platform choices. Match the deployment model to the systems you can administer.
Compare search features
Check the index types supported by the service, along with maximum vector dimensions. These details affect the data formats and embedding sizes your project can use.
Metadata filtering and hybrid search can change how precisely you combine structured fields with vector or text queries.
Plan for data care
Managed backups are a comparison point for services that store important indexes. Confirm whether backups fit your recovery needs before moving production data.
If you need to read or change the code, check the licence and whether an open-source option meets your requirements.
Questions people ask
Can I use an AI database from an Android phone?
The listed platforms focus on web, API and desktop or self-hosted environments. Check for an Android app or use a mobile browser before choosing.
Are free plans available?
A free plan is offered by services in this category. Pricing notes may also include paid starting points or a time-limited trial.
What is hybrid search?
Hybrid search combines different search methods, such as vector and text queries. Check the service details to see whether it supports this feature.
What does self-hosted mean here?
Self-hosted deployment means running the database on infrastructure you manage, rather than relying on a hosted web service.
Why compare maximum vector dimensions?
The maximum vector dimension sets the largest embedding size an index accepts. Compare it with the dimensions produced by your AI model.