Databases · head to head
Cockroach Labs vs Ray
The short version
- Each has a real cost: Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only); Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: Cockroach Labs covers Distributed SQL, Ray covers Distributed computing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Cockroach Labs and Ray actually diverge.
| Attribute | Cockroach Labs | Ray |
|---|---|---|
| Platforms | AWS, GCP, Azure | Linux, Mac, Windows |
| Category | Databases | Machine Learning |
| Founded | 2015 | 2019 |
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated).
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 Cockroach Labs
- Distributed SQL
- Automatic Sharding
- Multi-region Replication
- Geo-partitioning
- ACID Transactions
- Horizontal Scaling
- Survivability
- PostgreSQL Compatibility
Only in Ray
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
- PyTorch
- TensorFlow
- Hugging Face
Both cover
- Kubernetes
What people use each for
The jobs each tool is most often brought in to do.
Cockroach Labs
- Distributed SQL database for scalable applicationsnot Ray
- Multi-region deployment and failovernot Ray
Ray
- Distributed AI model training and servingnot Cockroach Labs
- Large-scale data processingnot Cockroach Labs
- Reinforcement learning workloadsnot Cockroach Labs
- ML inference servingnot Cockroach Labs
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cockroach Labs
- Basic and Standard tiers limited to AWS and GCP (select regions only)
- Azure support restricted to Advanced tier only
- Basic tier limited to 50 million RUs and 10 GiB storage per month
- Advanced tier starts at $0.60/hour for 4 vCPUs minimum
- 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced
Ray
- Windows support is beta and multi node Ray clusters are untested on Windows
- Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
- Multi node clusters are untested on Apple Silicon Macs
- The Java API is experimental and community supported only, and requires matching Java and Python versions
- Python 3.13 support is beta
Pricing, plan by plan
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose Cockroach Labs if
- You need distributed sql.
- You want to start without paying.
- You work on AWS, GCP, Azure.
- You also want automatic sharding.
Choose Ray if
- You need distributed computing.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want ray train.
Questions people ask
- Is Cockroach Labs or Ray better?
- Neither clearly leads. Cockroach Labs starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cockroach Labs or Ray?
- Cockroach Labs starts at Free and Ray at Free.
- Does Cockroach Labs or Ray run on more platforms?
- Cockroach Labs runs on AWS, GCP, Azure. Ray runs on Linux, Mac, Windows.
- Can I use Cockroach Labs for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cockroach Labs best used for?
- Cockroach Labs is most often used for distributed sql database for scalable applications, multi-region deployment and failover. Of those, distributed sql database for scalable applications and multi-region deployment and failover are not what Ray is typically brought in for.
- What can Cockroach Labs do that Ray cannot?
- Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib. Both handle Kubernetes.
Answered from the vendors’ own pages
Cockroach Labs: What does the free Basic tier include?
The Basic tier is free and includes 50 million RUs and 10 GiB storage per month, with a maximum compute of 30K RU/sec. No credit card is required to start.
SourceRay: Is Ray free?
Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.
SourceCockroach Labs: How much do the paid tiers cost?
Standard tier starts at $0.18 per hour for 2 vCPUs, and Advanced tier starts at $0.60 per hour for 4 vCPUs. Both tiers support additional resources with higher costs for increased compute and storage.
SourceRay: Is there a paid option for Ray?
Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.
SourceCockroach Labs: What are the storage limits for each tier?
Basic plan supports up to 3 TiB storage, Standard tier up to 3 TiB, and Advanced tier up to 10 TiB per node with unlimited total storage.
SourceRay: Can I try Ray with credits?
Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.
SourceCockroach Labs: Can I get trial credits before paying?
Yes, new users can try CockroachDB free with $400 in credits. The Basic and Standard plans do not require a credit card to start.
SourceCockroach Labs: Do legacy contracts have different pricing?
Customers with annual or multi-year contracts entered before December 1, 2024 can view legacy pricing terms on a separate page, which apply until their contract renewal date.
SourceRelated pages
More on Cockroach Labs
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- Ray vs YugabyteDB
- Ray vs PostgreSQL
- Ray vs Couchbase
- Ray vs Google Cloud SQL
- Ray vs Amazon Aurora
- Ray vs Elasticsearch
- Ray vs Oracle Database
- Ray vs TiDB
- Ray vs Dgraph
- Ray vs CosmosDB
- Ray vs DataStax
- Ray vs Neo4j
- Ray vs MariaDB
- Ray vs Materialize
- Ray vs TimescaleDB
- Ray vs Turso
- Ray vs Amazon RDS
- Ray vs Google Vertex AI
- Ray vs AWS SageMaker
- Ray vs Azure Machine Learning
- Ray vs DataRobot
- Ray vs Milvus
- Ray vs Pinecone
- Ray vs H2O.ai
- Ray vs Dask
- Ray vs Apache Spark MLlib
- Ray vs Weaviate
- Ray vs TensorFlow
- Ray vs LangChain
- Ray vs Dataiku
- Ray vs KNIME
- Ray vs Palantir Foundry
- Ray vs Python


