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Head-to-head · OLAP Software

Databricks SQL Warehouse vs Apache Doris

  • 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 Doris #6 in OLAP Software 8.9/10 Free plan Free plan✓ 3 of 3 features Visit Apache Doris

Databricks SQL Warehouse leads on 0 checks, Apache Doris on 1, and 3 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
  • Free planonly Apache Doris
  • Most featuresApache Doris · 3 of 3

Databricks SQL Warehouse scores higher on our rubric for olap software: 9.2 against 8.9 out of 10; our editors rank them #3 and #6.

Apache Doris offers free plan; Databricks SQL Warehouse doesn't.

Databricks SQL Warehouse is the better fit for lakehouse SQL and BI teams. Apache Doris is the better fit for teams wanting open-source OLAP.

  • Databricks SQL Warehouse fits best

    Lakehouse SQL and BI teams

  • Apache Doris fits best

    Teams wanting open-source OLAP

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Side by side

Feature Databricks SQL Warehouse 9.2/10 Visit ↗ Apache Doris 8.9/10 Visit ↗
At a glance
Editor score 9.2 8.9
Ranking #3 in OLAP Software #6 in OLAP Software
Best for Lakehouse SQL and BI teams Teams wanting open-source OLAP
Pricing model Paid Free
Starting price — Free plan
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Self-hosted
Support Community, Docs Community, Docs
Integrations 15 integrations 50+ integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Databricks SQL Warehouse 0/3 · Apache Doris 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 databases, streaming, lakehouse, BI, AI, observability
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.
  • Real-time streaming and CDC ingestion with MPP query execution
  • Federated queries across databases, catalogs, and lakehouse sources
  • Materialized views, search, row-level policies, and embedded analytics
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 places operational responsibility on the team
  • Broad capabilities may require more architecture than focused BI tools
  • No product pricing tiers are presented for the open-source deployment
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 Doris is an open-source, MPP-based analytical database for teams building real-time analytics, data warehouses, lakehouse queries, observability workloads, and AI applications. It uses standard SQL through MySQL protocol…

Read the review →
  1. Databricks SQL WarehouseOLAP Software 9.2Paid
  2. Apache DorisOLAP Software 8.9Free plan

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 Doris — where it wins

    • Real-time streaming and CDC ingestion with MPP query execution
    • Federated queries across databases, catalogs, and lakehouse sources
    • Materialized views, search, row-level policies, and embedded analytics

    Where it doesn't

    • Self-hosted deployment places operational responsibility on the team
    • Broad capabilities may require more architecture than focused BI tools
    • No product pricing tiers are presented for the open-source deployment

More comparisons

All OLAP software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update