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Head-to-head · OLAP Software

Databricks SQL Warehouse vs Apache Pinot

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Databricks SQL Warehouse #3 in OLAP Software 9.2/10 Paid ✓ 0 of 3 features Visit Databricks
Apache Pinot #8 in OLAP Software 8.7/10 Open source ✓ 3 of 3 features Visit Apache Pinot

Databricks SQL Warehouse leads on 0 checks, Apache Pinot on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDatabricks SQL Warehouse · 9.2/10
  • Most featuresApache Pinot · 3 of 3

Databricks SQL Warehouse scores higher on our rubric for olap software: 9.2 against 8.7 out of 10; our editors rank them #3 and #8.

Databricks SQL Warehouse is the better fit for lakehouse SQL and BI teams. Apache Pinot is the better fit for embedded real-time analytics builders.

  • Databricks SQL Warehouse fits best

    Lakehouse SQL and BI teams

  • Apache Pinot fits best

    Embedded real-time analytics builders

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Side by side

Feature Databricks SQL Warehouse 9.2/10 Visit ↗ Apache Pinot 8.7/10 Visit ↗
At a glance
Editor score 9.2 8.7
Ranking #3 in OLAP Software #8 in OLAP Software
Best for Lakehouse SQL and BI teams Embedded real-time analytics builders
Pricing model Paid Free
Starting price — Open source
Free plan — Not checked yet
Free trial — —
Deployment Cloud Self-hosted
Support Community, Docs Community, Docs
Integrations 15 integrations 13 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Databricks SQL Warehouse 0/3 · Apache Pinot 3/3
Real-time ingestion Not checked yet ✓ (best)
Row-level security Not checked yet ✓ (best)
Embedded analytics Not checked yet ✓ (best)
Specs
Deployment Not checked yet Self_hosted
Query language Not checked yet Sql
Included users Not checked yet Not checked yet
Data source coverage Not checked yet Streaming: Kafka, Pulsar, Kinesis; batch: Hadoop, Spark, Amazon S3, Azure ADLS, Google Cloud Storage
Our review
Pros
  • Serverless warehouses provide elastic compute with per-second billing.
  • Connects with major BI tools and external data systems.
  • Combines dashboards, ETL, governance, alerts, and SQL automation.
  • Streams data from Kafka, Pulsar, and Kinesis in real time
  • Combines streaming and batch sources in one table
  • Supports SQL, REST access, joins, upserts, and varied indexes
Cons
  • There is no listed free plan.
  • No fixed SQL Warehouse entry price is published.
  • Feature and pricing availability can vary by cloud and contract.
  • Self-hosted deployment requires infrastructure ownership
  • No managed cloud service is included
  • Its focus is real-time OLAP rather than general-purpose analytics
Our verdict

Databricks SQL Warehouse is a cloud data warehousing service for analysts and data teams working with data in cloud data lakes. It supports SQL query authoring with AI assistance, serverless SQL warehouses with elastic compute, interactive…

Read the review →

Apache Pinot is an open-source, distributed OLAP database for user-facing and agent-facing real-time analytics. It is designed for embedded analytics, customer dashboards, metrics APIs, and other high-concurrency analytical applications.…

Read the review →
  1. Databricks SQL WarehouseOLAP Software 9.2Paid
  2. Apache PinotOLAP Software 8.7Open source

Strengths and trade-offs

  • Databricks SQL Warehouse — where it wins

    • Serverless warehouses provide elastic compute with per-second billing.
    • Connects with major BI tools and external data systems.
    • Combines dashboards, ETL, governance, alerts, and SQL automation.

    Where it doesn't

    • There is no listed free plan.
    • No fixed SQL Warehouse entry price is published.
    • Feature and pricing availability can vary by cloud and contract.

  • Apache Pinot — where it wins

    • Streams data from Kafka, Pulsar, and Kinesis in real time
    • Combines streaming and batch sources in one table
    • Supports SQL, REST access, joins, upserts, and varied indexes

    Where it doesn't

    • Self-hosted deployment requires infrastructure ownership
    • No managed cloud service is included
    • Its focus is real-time OLAP rather than general-purpose analytics

More comparisons

All OLAP software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update