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Databases · head to head

Amazon Redshift vs StarRocks

Amazon Redshift logo

Amazon Redshift

Databases

Fast, scalable cloud data warehouse from AWS

From
Free
Rated
-
Full reviewWebsite
StarRocks logo

StarRocks

Databases

Apache 2.0 MPP analytical database built for joins on open table formats

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • They diverge on capability: Amazon Redshift covers Columnar Storage, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Amazon Redshift and StarRocks actually diverge.

Attributes where Amazon Redshift and StarRocks differ
AttributeAmazon RedshiftStarRocks
Pricing modelusage-basedOpen source, no licence fee
PlatformsWebLinux, Docker, Kubernetes
Founded2012Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Amazon Redshift

  • Columnar Storage
  • Massively Parallel
  • Machine Learning
  • AQUA Acceleration
  • Data Sharing
  • Federated Query
  • Concurrency Scaling
  • S3

Only in StarRocks

  • Cost-based optimiser
  • Lakehouse query engine
  • Primary key tables
  • Materialised views
  • Shared-data mode
  • MySQL wire protocol

What people use each for

The jobs each tool is most often brought in to do.

Amazon Redshift

  • Business intelligencenot StarRocks
  • Data warehousingnot StarRocks
  • Real-time analyticsnot StarRocks
  • Reportingnot StarRocks
  • Machine learningnot StarRocks

StarRocks

  • Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Amazon Redshift
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Amazon Redshift
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Amazon Redshift
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Amazon Redshift

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amazon Redshift

  • On-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
  • Requires significant manual tuning including managing concurrency scaling costs and configuring Workload Management queues
  • Performance degrades without proper design of distribution keys and sort keys
  • Limited elastic resize options - can only halve or double current cluster size
  • AWS lock-in makes it unsuitable for multi-cloud architectures

StarRocks

  • Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
  • It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
  • Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
  • Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.

Pricing, plan by plan

Amazon Redshift

Free
  • Free TrialFree
    • 750 DC2.Large hours
    • 2 months free
    • Full features
  • On-Demand$0.25/hour
    • Pay per node hour
    • All features
    • Standard support

StarRocks

Free
  • StarRocksFree
    • Apache 2.0 licence
    • Linux Foundation governance
    • No usage or node limits
  • CelerData Cloud$undefined/year
    • Managed StarRocks from the primary contributor
    • BYOC and serverless deployment options
    • Enterprise support and SLAs

Which should you pick?

Choose Amazon Redshift if

  • You need columnar storage.
  • You want to start without paying.
  • You also want massively parallel.
Amazon Redshift review

Choose StarRocks if

  • You need cost-based optimiser.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want lakehouse query engine.
StarRocks review

Questions people ask

Is Amazon Redshift or StarRocks better?
Neither clearly leads. Amazon Redshift starts at Free and StarRocks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Redshift or StarRocks?
Amazon Redshift starts at Free and StarRocks at Free.
Does Amazon Redshift or StarRocks run on more platforms?
Amazon Redshift runs on Web. StarRocks runs on Linux, Docker, Kubernetes.
Can I use Amazon Redshift for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Redshift best used for?
Amazon Redshift is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what StarRocks is typically brought in for.
What can Amazon Redshift do that StarRocks cannot?
Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

Amazon Redshift: What deployment options does Amazon Redshift offer?

Redshift offers Provisioned Cluster (with RA3 or DC2 nodes) and Serverless options to match varying workloads. The new Redshift RG instance family, powered by Graviton, delivers 2.4x faster performance than RA3 at 30% lower cost per vCPU.

Source
StarRocks: Is StarRocks open source?

Yes, Apache 2.0, governed under the Linux Foundation since 2023.

Amazon Redshift: What does Amazon Redshift cost?

Provisioned cluster pricing: RA3 on-demand starts at $1.086/hour for ra3.xlplus. Serverless costs approximately $0.375 per RPU-hour with 4-RPU minimum (roughly $1.50/hour active workload). Managed storage costs $0.024/GB-month.

Source
StarRocks: How does it differ from ClickHouse?

StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.

Amazon Redshift: Does Redshift work with data lakes?

Yes, Redshift's integrated data lake query engine processes workloads on Apache Iceberg tables and other supported formats in Amazon S3, allowing you to run SQL analytics across your data warehouse and data lake from the same engine.

Source
StarRocks: Who maintains it?

CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.

Amazon Redshift: Is there a free tier for Amazon Redshift?

AWS offers a free trial with $300 USD in Serverless credits valid for 90 days, but Redshift is not part of the permanent AWS Free Tier.

Source
StarRocks: Can it query Iceberg tables directly?

Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.

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