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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.

Vector DatabasesUsage-BasedPrice verified todayFrom $0.28/mo

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Databricks AI Search interface screenshot

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Databricks AI Search plans and pricing

High· Verified July 8, 2026

No free trial available

AI Search Standard

$0.28/hr

Best for: General vector search / RAG

✓$0.28/hr compute + $0.23/GB-mo storage (first 30 GB free)
✓2M vectors/unit (768-dim)
✓e.g. ~$605/mo for 5M vectors

View on vendor site

AI Search Storage Optimized

$1.28/hr

Best for: Billions of vectors, large-scale RAG

✓$1.28/hr compute + $0.046/GB-mo storage
✓64M vectors/unit
✓e.g. ~$922/mo for 50M vectors

View on vendor site

Databricks AI Search pricing: the quick answer

Quick answerLast verified: July 8, 2026High

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

Use the interactive Databricks AI Search pricing calculator to estimate your exact monthly cost at your team size, with annual-billing savings and the hidden costs counted in.

Free tier

Billing model

Usage-Based

Cheapest paid

$0.28/mo

Annual discount

Not offered

At $0.28/mo to start, Databricks AI Search sits 100% below the $99/mo median across 8 vector databases tools we track.

Databricks AI Search cost calculator

What Databricks AI Search really costs

What sits on top of the plan fee

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.

Standard tier compute and storage

Standard is $0.28 an hour per unit and each unit consumes 4.0 DBUs an hour while holding 2 million 768-dimension vectors. Left running continuously, one unit is roughly $200 a month in the effective US East compute rate before DBU and instance charges, plus $0.230 per GB a month for storage after the first 30 GB. A small always-on index is cheap; several of them add up quietly.

$0.28/hr per unit + $0.230/GB/mo

Storage Optimized tier for scale

Storage Optimized is $1.28 an hour per unit and burns 18.29 DBUs an hour, but each unit carries 64 million vectors at $0.046 per GB a month, a fifth of the Standard storage rate. For billion-vector RAG it is the cheaper path per vector despite the higher hourly rate, at the cost of about 250ms of extra query latency.

$1.28/hr per unit + $0.046/GB/mo

DBU consumption and sync frequency

Every unit draws Databricks Units continuously, 4.0 an hour on Standard and 18.29 on Storage Optimized, and auto-sync re-indexes as your Delta tables change. A high-churn source that resyncs often keeps the meter running hot, so the real cost lever is how frequently your underlying data moves rather than the sticker rate.

4.0 to 18.29 DBUs/hour per unit

Pricing Expert Take

Independent analysis · Databricks AI Search

Verified Pricing Data

Value Analysis

$0.28/mo100% below median

Category median: $99/moBased on 8 products in this category

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.

Hidden Costs

Compute is metered hourly, so cost scales with how often auto-sync re-indexes your Delta tables, which can matter more than raw data size.
Each unit consumes DBUs continuously, from 4.0/hr on Standard to 18.29/hr on Storage Optimized, on top of the compute rate.
Storage runs $0.230/GB/mo on Standard after the free 30 GB, dropping to $0.046/GB/mo on Storage Optimized.

Red Flags

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.

"No pipeline to create and maintain, no data movement to monitor and insure"
Reddit

"It feels like everyone is migrating to Databricks... Meanwhile, we are seriously considering migrating away"
Reddit

Based on analysis of recent Reddit and G2 discussions.

Green Wins

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.

"Users consistently praise Databricks for its unified platform that integrates data engineering, analytics, and"
G2

Verdict

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.

ComparEdge EditorialUpdated: July 8, 2026