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Head-to-head · OLAP Software

Amazon Redshift vs Apache Druid

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon Redshift #2 in OLAP Software 9.3/10 Paid ✓ 0 of 3 features Try Amazon Redshift
Apache Druid #7 in OLAP Software 8.8/10 Open source ✓ 1 of 3 features Visit Apache Druid

Amazon Redshift leads on 0 checks, Apache Druid on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Redshift · 9.3/10
  • Most featuresApache Druid · 1 of 3

Amazon Redshift scores higher on our rubric for olap software: 9.3 against 8.8 out of 10; our editors rank them #2 and #7.

Amazon Redshift is the better fit for AWS-centric data warehouse teams. Apache Druid is the better fit for real-time event analytics.

  • Amazon Redshift fits best

    AWS-centric data warehouse teams

  • Apache Druid fits best

    Real-time event analytics

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Side by side

Feature Amazon Redshift 9.3/10 Visit ↗ Apache Druid 8.8/10 Visit ↗
At a glance
Editor score 9.3 8.8
Ranking #2 in OLAP Software #7 in OLAP Software
Best for AWS-centric data warehouse teams Real-time event analytics
Pricing model Paid Free
Starting price $0.54/unit usage-based Open source
Free plan — Not checked yet
Free trial — —
Deployment Cloud Self-hosted
Platforms Web Web
Support Email, Live chat, Phone, Tickets, Docs Community, Docs
Integrations 15 integrations 6 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Redshift 0/3 · Apache Druid 1/3
Real-time ingestion Not checked yet ✓ (best)
Row-level security Not checked yet Not checked yet
Embedded analytics Not checked yet Not checked yet
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 sources, object stores, databases, files
Our review
Pros
  • Queries Amazon S3 data lakes with SQL
  • Offers provisioned and serverless deployment options
  • Includes streaming, zero-ETL, ML, and data sharing features
  • 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
  • No free plan
  • Provisioned storage is billed separately for RG and RA3 nodes
  • Serverless starts at $1.50 per hour
  • 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

Amazon Redshift is a fully managed cloud data warehouse for teams analyzing large datasets with SQL. It supports business intelligence, data lake analytics, real-time workloads, and predictive modeling across web and API access. Data…

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. Amazon RedshiftOLAP Software 9.3Paid
  2. Apache DruidOLAP Software 8.8Open source

Strengths and trade-offs

  • Amazon Redshift — where it wins

    • Queries Amazon S3 data lakes with SQL
    • Offers provisioned and serverless deployment options
    • Includes streaming, zero-ETL, ML, and data sharing features

    Where it doesn't

    • No free plan
    • Provisioned storage is billed separately for RG and RA3 nodes
    • Serverless starts at $1.50 per hour

  • 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