Databricks AI Search Pricing: Plans & Cost Calculator 2026
Enterprise workloads requiring serverless vector search can scale via custom DBU-based pricing, while alternatives like Pinecone start free.
Databricks AI Search plans and pricing
AI Search Standard
General vector search / RAG
AI Search Storage Optimized
Billions of vectors, large-scale RAG
Databricks AI Search pricing: the quick answer
Databricks Vector Search has no flat subscription as of July 8, 2026; it bills by the hour for compute plus storage, on top of your Databricks account. Standard runs $0.28 an hour per unit (US East), holding 2 million 768-dimension vectors, with storage at $0.230 per GB a month, first 30 GB free. Storage Optimized is $1.28 an hour but fits 64 million vectors at $0.046 per GB and indexes far faster. Your bill tracks index size and sync frequency, and it only pencils out cleanly inside the Databricks lakehouse.
- AI Search Standard$0.28/mo
- AI Search Storage Optimized$1.28/mo
At $0.28/mo to start, Databricks AI Search sits 100% below the $82/mo median across 8 vector databases tools we track.
Databricks AI Search cost calculator
Databricks AI Search Hidden Costs & Pitfalls
There is no line-item price for the feature itself; the cost is the compute-hours it burns and the storage it holds, and both scale with how big your index is and how often it re-syncs.
Databricks AI Search pricing, read against its live plans and category
Positioning
Databricks Vector Search does not sell a flat plan. It bills compute by the hour plus storage, on top of your Databricks account. Standard is $0.28/hr per unit, consuming 4.0 DBUs/hr and holding 2 million 768-dimension vectors, with storage at $0.230/GB/mo and the first 30 GB free. Storage Optimized is $1.28/hr per unit, drawing 18.29 DBUs/hr but fitting 64 million vectors at $0.046/GB/mo with 10 to 20 times faster indexing. If your data already lives in Unity Catalog, this is cost-effective because you skip building a separate pipeline; outside that ecosystem the DBU-based math is hard to compare.
Cost drivers
- 1Compute is metered hourly, so cost scales with how often auto-sync re-indexes your Delta tables, which can matter more than raw data size.
- 2Each unit consumes DBUs continuously, from 4.0/hr on Standard to 18.29/hr on Storage Optimized, on top of the compute rate.
- 3Storage runs $0.230/GB/mo on Standard after the free 30 GB, dropping to $0.046/GB/mo on Storage Optimized.
Watch-outs
Hourly compute costs are hard to predict and can spike during heavy indexing jobs. Configuring Unity Catalog and schemas has a real learning curve, and misjudged resource sizing turns into wasted spend.
Strengths
- Auto-sync keeps the vector index current with no manual pipeline.
- Native integration with Delta Lake and Unity Catalog.
- Unified governance across relational data and vectors.
Editor’s take
If your data already sits in Unity Catalog, Standard is the quick way to stand up RAG without moving anything, and Storage Optimized is the one to reach for at a billion vectors. If you want a standalone vector database with a predictable monthly number outside a lakehouse, compare Pinecone instead.
Oleh KemFounder & Lead AnalystDatabricks AI Search price history
Frequently asked questions
Sources & verification
| Source | What was checked | Last checked |
|---|---|---|
| Official Pricing Page | Source of verified tiers | July 8, 2026 |
| Official Website | Official vendor website | — |
| G2 | G2 verified user reviews · 4.6/5 · 768 reviews | — |
Every fact on this Databricks AI Search pricing page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.
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