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The Best Ai Databases in 2026

We researched AI databases using vendors’ official websites, including pricing pages, plan tables, and product documentation. Rankings focus on the category’s core job, value for money, and verified features so readers can compare database options for AI workloads.

Our top picks

  1. Top ranked

    Zilliz Cloud#1 of 41
    8.9/10

    A managed vector database with hybrid search, enterprise controls, and a free tier.

    Free plan · 30-day trial

  2. Runner-up

    Pinecone#2 of 41
    8.9/10

    A managed vector-search service with hybrid retrieval, filtering, and tiered plans.

    Free plan · 21-day trial

  3. Top-ranked free plan

    Weaviate#3 of 41
    8.7/10

    A flexible vector database with hybrid search, multiple APIs, and cloud or self-hosted deployment.

    Free plan

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

The full ranking 41 tools, best first

41 tools
  1. Best forTeams wanting a managed vector database with a free tier

    A managed vector database with hybrid search, enterprise controls, and a free tier.

    • Hybrid search
    • Metadata filtering
    8.9/10★★★★☆
    Visit Zilliz Cloud
  2. Pinecone

    Best forTeams building AI search and retrieval systems

    A managed vector-search service with hybrid retrieval, filtering, and tiered plans.

    • Hybrid search
    • Metadata filtering
    8.9/10★★★★☆
    Visit Pinecone
  3. Weaviate

    Best forTeams needing cloud or self-hosted vector search

    A flexible vector database with hybrid search, multiple APIs, and cloud or self-hosted deployment.

    • Hybrid search
    • Metadata filtering
    8.7/10★★★★☆
    Visit Weaviate
  4. Milvus

    Best forDevelopers wanting open-source vector search

    A flexible vector search foundation for teams that want open-source or self-hosted deployment.

    • Hybrid search
    • Metadata filtering
    8.6/10★★★★☆
    Visit Milvus
  5. Qdrant

    Best forTeams needing cloud or self-hosted vector search

    A flexible vector database for teams building semantic search and AI retrieval.

    • Hybrid search
    • Metadata filtering
    8.5/10★★★★☆
    Visit Qdrant
  6. Best forTeams combining vector retrieval with established search

    A flexible search engine for teams adding vector and hybrid retrieval to established search.

    Free plan · 14-day trial Our Elasticsearch verdict → Visit Elasticsearch
    8.4/10★★★★☆
    Visit Elasticsearch
  7. Best forEnterprises standardizing on managed cloud vector search

    Enterprise teams get dense, sparse, and hybrid vector search with managed Google Cloud operations.

    • Hybrid search
    • Metadata filtering
    8.3/10★★★★☆
    Visit Google Cloud
  8. Best forAWS users building managed vector search and RAG

    A managed AWS option for teams combining vector retrieval with lexical search.

    • Hybrid search
    • Metadata filtering
    8.2/10★★★★☆
    Visit AWS
  9. Vespa

    Best forTeams needing customizable ranking and self-managed search

    A flexible search and ranking platform for teams prepared to configure and operate it.

    • Hybrid search
    • Metadata filtering
    8.1/10★★★★☆
    Visit Vespa
  10. LanceDB

    Best forDevelopers building open-source multimodal retrieval

    A flexible database for multimodal retrieval, hybrid search, and versioned data workflows.

    • Hybrid search
    • Metadata filtering
    Open source Our LanceDB verdict → Visit LanceDB
    8.0/10★★★★☆
    Visit LanceDB
  11. KDB.AI

    Best forTeams needing temporal and multimodal vector search

    KDB.AI combines temporal, hybrid, and multimodal vector search with cloud and self-hosted options.

    • Hybrid search
    • Metadata filtering
    7.9/10★★★★☆
    Visit KDB.AI
  12. Chroma

    Best forDevelopers seeking open-source hybrid search

    A flexible open-source database for dense, sparse, and hybrid AI retrieval.

    • Hybrid search
    • Metadata filtering
    7.8/10★★★★☆
    Visit Chroma
  13. Best forTeams seeking low-entry-cost hybrid vector and text search

    Hybrid vector and text retrieval starts at $16/month, with no free plan.

    • Hybrid search
    • Metadata filtering
    7.7/10★★★★☆
    Visit turbopuffer
  14. Best forTeams adding vector search to Cassandra-style apps

    A Cassandra-style managed database that adds vector search and flexible query access.

    7.6/10★★★★☆
    Visit Astra DB
  15. Best forOracle database users adding vector search to existing data

    SQL-based vector search for teams extending Oracle AI Database with semantic retrieval.

    • Managed backups
    • Hybrid search
    • Metadata filtering
    Free plan · 30-day trial Our Oracle AI Vector Search verdict → Visit Oracle
    7.5/10★★★★☆
    Visit Oracle
  16. Best forTeams wanting vector search within a managed document

    A managed MongoDB service that adds vector search without leaving a document database.

    7.4/10★★★★☆
    Visit MongoDB Atlas
  17. Best forCloudflare users needing inexpensive basic vector search

    A low-cost vector search service for applications already built on Cloudflare.

    • Metadata filtering
    7.3/10★★★★☆
    Visit Cloudflare
  18. Kinetica

    Best forTeams needing GPU-accelerated vector search with SQL

    A fit for teams that need GPU-accelerated vector search alongside SQL analytics.

    • Metadata filtering
    7.2/10★★★★☆
    Visit Kinetica
  19. Best forPostgreSQL teams adding vector and in-database AI

    A PostgreSQL-compatible AI layer with vector search, SQL filtering, and model invocation.

    • Hybrid search
    • Metadata filtering
    7.1/10★★★★☆
    Visit Google Cloud
  20. Marqo

    Best forRetail teams building AI-powered product discovery

    Semantic commerce search for retailers that need relevance, discovery and merchandising controls.

    • Hybrid search
    • Metadata filtering
    Pricing on request Our Marqo verdict → Visit Marqo
    6.9/10★★★☆☆
    Visit Marqo
  21. SurrealDB

    Best forDevelopers seeking a general-purpose database with vectors

    A broad multi-model database with vector search for developers who want one data layer.

    6.8/10★★★☆☆
    Visit SurrealDB
  22. Best forTeams needing globally distributed JSON with vector search

    Globally distributed JSON storage with integrated vector search and flexible throughput.

    Free plan · 30-day trial Our Azure Cosmos DB for NoSQL verdict → Visit Cosmos DB
    6.7/10★★★☆☆
    Visit Cosmos DB
  23. Best forTeams adding vector search to a managed document database

    A broad managed document database that adds vector search alongside operational data services.

    6.6/10★★★☆☆
    Visit site
  24. Best forTeams embedding vector workloads in managed SQL

    A managed SQL service with scaling and recovery options, but limited evidence of AI-specific depth.

    6.5/10★★★☆☆
    Visit SingleStore
  25. Supabase

    Best forTeams building Postgres applications with AI features

    A Postgres application platform with a free tier, managed services, and self-hosting options.

    6.3/10★★★☆☆
    Visit Supabase
  26. Best forTeams seeking managed analytics infrastructure

    Managed SQL analytics infrastructure with elastic scaling and broad data integrations.

    From $50/mo · 30-day trial Our ClickHouse Cloud verdict → Visit ClickHouse
    6.1/10★★★☆☆
    Visit ClickHouse
  27. Best forOrganizations needing analytical warehousing with ML

    A cloud warehouse combining streaming ingestion, lake queries, BI analytics, and in-database ML.

    6.0/10★★★☆☆
    Visit Alibaba Cloud
  28. Neon

    Best forTeams building apps on managed, branching PostgreSQL

    Managed PostgreSQL with branching and usage-based compute, but a narrower fit for AI databases.

    Free plan Our Neon verdict → Visit Neon
    5.9/10★★★☆☆
    Visit Neon
  29. Best forAWS teams needing a managed transactional database

    Managed AWS database for transactional workloads, not a dedicated AI database.

    5.8/10★★★☆☆
    Visit Amazon Aurora
  30. Best forEnterprises managing the model lifecycle on Databricks

    A Databricks AI lifecycle toolkit, rather than a documented database or vector retrieval product.

    5.7/10★★★☆☆
    Visit Databricks
  31. Tigris

    Best forTeams seeking low-cost cloud object storage

    Low-cost object storage with S3 compatibility, not a database for AI workloads.

    5.5/10★★★☆☆
    Visit Tigris
  32. Best forTeams managing versioned files, tables, and ML assets

    A versioned data platform for teams managing files, tables, and ML assets.

    5.4/10★★★☆☆
    Visit TileDB Cloud
  33. Best forSnowflake users developing and scheduling notebooks

    A governed Snowflake notebook workspace, not a database or vector-search product.

    5.3/10★★★☆☆
    Visit Snowflake
  34. Best forTeams operating YugabyteDB across hybrid infrastructure

    A hybrid-infrastructure control plane for YugabyteDB operations, not an AI database tool.

    5.2/10★★★☆☆
    Visit Yugabyte
  35. Best forTeams seeking open-source observability search and analytics

    An open-source observability search suite for logs, metrics, traces, dashboards, and alerts.

    5.1/10★★★☆☆
    Visit OpenSearch
  36. Best forRedis teams needing a free desktop and web workbench

    A free Redis workbench with deep inspection, query tools, and AI assistance—not a database engine.

    5.0/10★★☆☆☆
    Visit Redis Insight
  37. Best forEnterprises managing records and content workflows

    A records-and-workflow platform for enterprises, not a vector database.

    4.9/10★★☆☆☆
    Visit OpenText
  38. NucliaDB

    Best forTeams building hybrid search across files and content

    A flexible search foundation for RAG and content retrieval, with cloud plans starting at $700/month.

    Open source · 14-day trial Our NucliaDB verdict → Visit NucliaDB
    4.8/10★★☆☆☆
    Visit NucliaDB
  39. Vald

    Best forTeams self-hosting vector search on Kubernetes

    Open-source vector search with distributed indexing and Kubernetes scaling.

    • Metadata filtering
    Open source Our Vald verdict → Visit Vald
    4.7/10★★☆☆☆
    Visit Vald
  40. Best forScyllaDB administrators managing cluster operations

    ScyllaDB cluster operations tooling, not an AI database workload platform.

    1.0/10☆☆☆☆☆
    Visit ScyllaDB
  41. Vecto

    Best forPeople converting raster artwork into SVG files

    A focused image-to-SVG tracing tool, not an AI database.

    Free plan Our Vecto verdict → Visit Vecto
    1.0/10☆☆☆☆☆
    Visit Vecto

No tools match those filters.

Compare at a glance

#ToolFree planPaid fromScore
1Zilliz CloudYes8.9
2PineconeYes8.9
3WeaviateYes$45/mo8.7
4MilvusYesFree8.6
5QdrantYes8.5
6ElasticsearchYes8.4
7Vertex AI Vector Search8.3
8Amazon OpenSearch ServiceNo8.2
9VespaNo$0.05/unit usage-based8.1
10LanceDBFree8.0
11KDB.AIYes7.9
12ChromaYes$250/mo7.8
13turbopufferNo$16/mo7.7
14DataStax Astra DBYes$83.30/mo7.6
15Oracle AI Vector SearchYes7.5
16MongoDB AtlasYes$8/mo7.4
17Cloudflare VectorizeYes$5/mo7.3
18KineticaYes$1.80 usage-based7.2
19AlloyDB AINo7.1
20MarqoNo6.9
21SurrealDBYes$0.19/unit usage-based6.8
22Azure Cosmos DB for NoSQLYes6.7
23Couchbase CapellaYes$0.15/unit usage-based6.6
24SingleStore HeliosYes$0.99 usage-based6.5
25SupabaseYes$25/mo6.3
26ClickHouse CloudNo$50/mo6.1
27Alibaba Cloud AnalyticDB$119/mo6.0
28NeonYes$0.11/mo5.9
29Amazon AuroraNo5.8
30Databricks Mosaic AI5.7
31TigrisYes$0.004/GB/mo5.5
32TileDB CloudYes5.4
33Snowflake Notebooks5.3
34YugabyteDB AnywhereNo5.2
35OpenSearchFree5.1
36Redis InsightYesFree5.0
37SAP Extended Enterprise Content Management by OpenText4.9
38NucliaDBNo$700/mo4.8
39ValdFree4.7
40ScyllaDB ManagerFree1.0
41VectoYes$7.99 one-time1.0

Head-to-head All 21 comparisons →

Explore other topics All topics →

How we rank ai databases

Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update