Amazon Redshift vs StarRocks

Amazon Redshift9.2Visit StarRocks8.8Visit

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

vs

StarRocks #5 in Columnar Databases 8.8/10 Free plan Free plan✓ 0 of 3 features Visit StarRocks

• Amazon Redshift fits best

  AWS-centered enterprise analytics

• StarRocks fits best

  Open-source lakehouse SQL analytics

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Side by side

Feature	Amazon Redshift 9.2/10 Visit ↗	StarRocks 8.8/10 Visit ↗
At a glance
Editor score	9.2	8.8
Ranking	#2 in Columnar Databases	#5 in Columnar Databases
Best for	AWS-centered enterprise analytics	Open-source lakehouse SQL analytics
Pricing model	Paid	Free
Starting price	$0.54/unit usage-based	Free plan
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud	Self-hosted
Platforms	Web	Linux
Support	Email, Live chat, Phone, Tickets, Docs	Community, Docs
Integrations	15 integrations	20 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon Redshift 0/3 · StarRocks 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	Vectorized MPP execution with cost-based query optimization Real-time upserts, deletes, and streaming or batch loading Queries data lakes through external catalogs without migration
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 places infrastructure work on your team Primarily designed for analytical rather than general transactional workloads Managed SaaS users may prefer a hosted database alternative
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 →	StarRocks is an open-source massively parallel processing database for OLAP, real-time analytics, high-concurrency workloads, ad-hoc queries, and unified analytics. It is aimed at engineering and data teams building analytical warehouses,… 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

• StarRocks — where it wins

  • Vectorized MPP execution with cost-based query optimization
  • Real-time upserts, deletes, and streaming or batch loading
  • Queries data lakes through external catalogs without migration

  Where it doesn't

  • Self-hosted deployment places infrastructure work on your team
  • Primarily designed for analytical rather than general transactional workloads
  • Managed SaaS users may prefer a hosted database alternative

• Amazon Redshift9.2/10 · Paid

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

  Try Amazon RedshiftFull verdict →
• StarRocks8.8/10 · Free plan

  A strong fit for teams building self-hosted, open-source lakehouse analytics.

  Visit StarRocksFull verdict →