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Head-to-head · OLAP Software

Apache Doris vs Apache Druid

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Apache Doris #6 in OLAP Software 8.9/10 Free plan Free plan✓ 3 of 3 features Visit Apache Doris
Apache Druid #7 in OLAP Software 8.8/10 Open source ✓ 1 of 3 features Visit Apache Druid

Apache Doris leads on 0 checks, Apache Druid 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 scoreApache Doris · 8.9/10
  • Free planonly Apache Doris
  • Most featuresApache Doris · 3 of 3

Apache Doris scores higher on our rubric for olap software: 8.9 against 8.8 out of 10; our editors rank them #6 and #7.

Apache Doris is the better fit for teams wanting open-source OLAP. Apache Druid is the better fit for real-time event analytics.

  • Apache Doris fits best

    Teams wanting open-source OLAP

  • Apache Druid fits best

    Real-time event analytics

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Side by side

Feature Apache Doris 8.9/10 Visit ↗ Apache Druid 8.8/10 Visit ↗
At a glance
Editor score 8.9 8.8
Ranking #6 in OLAP Software #7 in OLAP Software
Best for Teams wanting open-source OLAP Real-time event analytics
Pricing model Free Free
Starting price Free plan Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Self-hosted Self-hosted
Support Community, Docs Community, Docs
Integrations 50+ integrations 6 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Doris 3/3 · Apache Druid 1/3
Real-time ingestion ✓ ✓
Row-level security ✓ (best) Not checked yet
Embedded analytics ✓ (best) Not checked yet
Specs
Deployment Self_hosted Self_hosted
Query language Sql Sql
Included users Not checked yet Not checked yet
Data source coverage databases, streaming, lakehouse, BI, AI, observability streaming sources, object stores, databases, files
Our review
Pros
  • 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
  • Sub-second OLAP queries for high-cardinality, high-dimensional data
  • Independent scaling for ingestion, queries, and orchestration
  • Streaming, batch loading, SQL, native queries, joins, and bitmap indexes
Cons
  • 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
  • Self-hosted deployment requires organizations to manage the platform
  • Narrower scope than general cloud data warehouses
  • Row-level security is not verified in the published security documentation
Our verdict

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 →

Apache Druid is an open-source, distributed analytics database for large, event-oriented datasets. It is designed for teams building analytical application interfaces and high-concurrency APIs that need sub-second aggregations over…

Read the review →
  1. Apache DorisOLAP Software 8.9Free plan
  2. Apache DruidOLAP Software 8.8Open source

Strengths and trade-offs

  • 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

  • Apache Druid — where it wins

    • Sub-second OLAP queries for high-cardinality, high-dimensional data
    • Independent scaling for ingestion, queries, and orchestration
    • Streaming, batch loading, SQL, native queries, joins, and bitmap indexes

    Where it doesn't

    • Self-hosted deployment requires organizations to manage the platform
    • Narrower scope than general cloud data warehouses
    • Row-level security is not verified in the published security documentation

More comparisons

All OLAP software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update