Chroma suits developers building AI applications that need search and retrieval over stored data, with options for local, cloud, or customer-VPC deployment.
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Best Ai Databases 2026
Facts read 28 Sep 2026 – 15 Oct 2026
AI databases support index and search work for applications that use vector data. This guide helps buyers compare pricing, deployment choices and the search controls listed for these tools.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 Chroma | Chroma suits developers building AI applications that need search and retrieval over stored data, with options for local, cloud, or customer-VPC deployment. | 6.6 | $250 a month | Free plan | Android, iPhone & iPad, Web, Windows | 15 Oct 2026 |
| 02 SingleStore Helios | Helios suits teams that need a cloud database for transactional and analytical work, with multiple data models or AI workloads. | 6.0 | Free plan | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 03 Pinecone | Pinecone suits teams building AI applications that need semantic search, recommendations, or retrieval-augmented generation. | 5.8 | $20 a month | Free plan | Web, Mac, Linux, API | 15 Oct 2026 |
| 04 Vespa | Vespa is intended for teams building AI applications where search quality, ranking, fresh real-time data, or increasing retrieval traffic matter. | 5.8 | Free plan | Free plan | Web, Windows, Mac, Linux | 14 Oct 2026 |
| 05 Elasticsearch | 5.6 | $99 a month | Free plan | Web, Linux, API, Self-hosted | 30 Sep 2026 | |
| 06 ClickHouse Cloud | 5.5 | $25.30 a month | Free trial | Web, Windows, Mac, Linux | 15 Oct 2026 | |
| 07 Supabase | Supabase may suit developers building applications that need a Postgres backend with authentication, storage, realtime features or server-side functions. | 5.5 | $25 a month | Free plan | Android, iPhone & iPad, Web, Windows | 3 Oct 2026 |
| 08 Kinetica | 5.2 | $1.80 usage-based | Free plan | Web, Windows, Mac, Linux | 4 Oct 2026 | |
| 09 Neon | Neon suits developers and teams building relational database-backed projects that need managed cloud hosting, branching, or programmatic administration. | 5.1 | $0.11 usage-based | Free plan | Web, Windows, Mac, Linux | 30 Sep 2026 |
| 10 Weaviate | Weaviate suits developers building search, RAG, or agent systems who need a hosted or self-managed database. | 5.1 | $45 usage-based | Free plan | Web, Linux, API, Self-hosted | 30 Sep 2026 |
The list is ordered by newest releases first. It uses figures published by the makers and does not score the tools. Review free access, starting paid prices, deployment models, index choices, vector-size limits, metadata filters, hybrid search and managed backup options.
SingleStore Helios
Helios suits teams that need a cloud database for transactional and analytical work, with multiple data models or AI workloads.
WebWindowsMac+3Pinecone
Pinecone suits teams building AI applications that need semantic search, recommendations, or retrieval-augmented generation.
WebMacLinux+1Vespa
Vespa is intended for teams building AI applications where search quality, ranking, fresh real-time data, or increasing retrieval traffic matter.
WebWindowsMac+3Elasticsearch
WebLinuxAPI+1Supabase may suit developers building applications that need a Postgres backend with authentication, storage, realtime features or server-side functions.
Neon suits developers and teams building relational database-backed projects that need managed cloud hosting, branching, or programmatic administration.
Weaviate suits developers building search, RAG, or agent systems who need a hosted or self-managed database.
Qdrant suits developers building semantic search or recommendation systems who need vector storage, metadata filtering or hybrid retrieval.
Redis Insight is suited to developers and administrators who work with Redis data and want GUI and command-line tools for inspection and management.
It suits developers building flexible-schema, latency-sensitive, elastic, high-throughput, or highly available mission-critical applications.
OpenSearch suits teams building search, observability, or security analytics applications, particularly those that need flexible deployment or want to modify and embed…
Vecto suits people who need editable SVGs from raster artwork, especially Windows users who prefer a graphical app.
Zilliz Cloud suits teams building vector search applications on managed Milvus.
AWS identifies enterprise applications, multi-tenant SaaS, and globally distributed applications as Aurora workloads.
KDB.AI suits developers building AI applications that need vector search over real-time or multimodal data.
Milvus suits developers and teams building vector search into GenAI applications, with deployment options ranging from local use to Kubernetes clusters.
It suits developers building Worker-based applications that use vector search or need context for large language models.
Before you choose
Compare free access and paid plans
Some entries provide a no-cost plan. Paid pricing is shown where a maker publishes a starting figure.
A free trial is also offered by items on this list. Review each trial's conditions before transferring a workload.
Deployment should fit your stack
Listed services run through web interfaces or APIs, on self-managed installations, and on Linux, macOS or Windows. Pick the model that aligns with your application's runtime.
A managed web service can differ from a self-hosted setup in how you operate the database.
Check index and search controls
Compare the index types supported by a tool, its maximum vector dimensions and its metadata-filtering controls.
Hybrid search is a separate comparison point. Look for it when your application needs vector and other search methods together.
Review backup handling
Managed backups are part of the comparison. Verify that your chosen setup supplies them and suits your operating approach.
Consider the code model
Some listed tools publish their code under open-source terms. When code access or modification matters, inspect the licence alongside deployment needs.