Amazon Redshift vs Apache Doris

Amazon Redshift9.2Visit Apache Doris8.9Visit

Higher score Amazon Redshift #2 in Columnar Databases 9.2/10 Paid ✓ 0 of 3 features Try Amazon Redshift

vs

Apache Doris #4 in Columnar Databases 8.9/10 Free plan Free plan✓ 0 of 3 features Visit Apache Doris

• Amazon Redshift fits best

  AWS-centered enterprise analytics

• Apache Doris fits best

  Open-source real-time analytics

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Side by side

Feature	Amazon Redshift 9.2/10 Visit ↗	Apache Doris 8.9/10 Visit ↗
At a glance
Editor score	9.2	8.9
Ranking	#2 in Columnar Databases	#4 in Columnar Databases
Best for	AWS-centered enterprise analytics	Open-source real-time analytics
Pricing model	Paid	Free
Starting price	$0.54/unit usage-based	Free plan
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud	Self-hosted
Support	Email, Live chat, Phone, Tickets, Docs	Community, Docs
Integrations	15 integrations	50+ integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon Redshift 0/3 · Apache Doris 0/3
Managed service	Not checked yet	Not checked yet
Object storage support	Not checked yet	Not checked yet
Streaming ingestion	Not checked yet	Not checked yet
Specs
Deployment model	Cloud	Not checked yet
Supported data formats	Not checked yet	Not checked yet
Included storage	Not checked yet	Not checked yet
Our review
Pros	Provisioned and serverless deployments with separate storage scaling Queries Amazon S3 data lakes and ingests streams from AWS services Redshift ML supports model creation, training, and deployment with SQL	MPP SQL execution with MySQL protocol compatibility Streaming, CDC, batch, and federated lakehouse queries Indexes, materialized views, policies, and vector search
Cons	No free plan is available Serverless pricing starts at $1.5 per hour Managed storage is billed separately for RG and RA3 provisioned nodes	Self-hosted deployment puts infrastructure operations on the team Broad scope may exceed the needs of narrow database workloads Commercial cloud offerings are provided separately by other vendors
Our verdict	Amazon Redshift is a fully managed cloud data warehouse for analyzing large datasets with SQL. It is aimed at data teams, analysts, developers, and organizations running business intelligence, data lake, real-time analytics, and predictive… Read the review →	Apache Doris is an open-source, MPP-based columnar database for teams building real-time analytics, data warehouses, lakehouse queries, observability systems, AI workloads, and customer-facing data products. It uses standard SQL through a… Read the review →

Strengths and trade-offs

• Amazon Redshift — where it wins

  • Provisioned and serverless deployments with separate storage scaling
  • Queries Amazon S3 data lakes and ingests streams from AWS services
  • Redshift ML supports model creation, training, and deployment with SQL

  Where it doesn't

  • No free plan is available
  • Serverless pricing starts at $1.5 per hour
  • Managed storage is billed separately for RG and RA3 provisioned nodes

• Apache Doris — where it wins

  • MPP SQL execution with MySQL protocol compatibility
  • Streaming, CDC, batch, and federated lakehouse queries
  • Indexes, materialized views, policies, and vector search

  Where it doesn't

  • Self-hosted deployment puts infrastructure operations on the team
  • Broad scope may exceed the needs of narrow database workloads
  • Commercial cloud offerings are provided separately by other vendors

• Amazon Redshift9.2/10 · Paid

  A flexible AWS warehouse for analytics, data lakes, streaming, and SQL-based ML.

  Try Amazon RedshiftFull verdict →
• Apache Doris8.9/10 · Free plan

  A broad SQL engine for real-time analytics, lakehouse queries, BI, and embedded data products.

  Visit Apache DorisFull verdict →