Databases · head to head
Cockroach Labs vs PyTorch

PyTorch
Machine Learning
Deep learning framework with dynamic computation graphs
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only); PyTorch dynamic computation graph can be less efficient for production inference than static graphs
- They diverge on capability: Cockroach Labs covers Distributed SQL, PyTorch covers Dynamic computation graphs.
Where they differ
Only the attributes on which Cockroach Labs and PyTorch actually diverge.
| Attribute | Cockroach Labs | PyTorch |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | AWS, GCP, Azure | Linux, Windows, macOS |
| Category | Databases | Machine Learning |
| Founded | 2015 | 2016 |
Identical on both: starting price (Free), 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 PyTorch
- Dynamic computation graphs
- Automatic differentiation
- GPU acceleration
- Distributed training
- TorchScript
- TorchVision
- TorchText
- TorchAudio
What people use each for
The jobs each tool is most often brought in to do.
Cockroach Labs
- Distributed SQL database for scalable applicationsnot PyTorch
- Multi-region deployment and failovernot PyTorch
PyTorch
- Machine learningnot Cockroach Labs
- Data analysisnot Cockroach Labs
- Model trainingnot Cockroach Labs
- Predictive analyticsnot 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
PyTorch
- Dynamic computation graph can be less efficient for production inference than static graphs
- Requires more manual code for distributed training compared to some alternatives
- Documentation focused heavily on research use cases rather than production deployment
Pricing, plan by plan
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
PyTorch
FreeNo published plan breakdown. See the PyTorch review.
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 PyTorch if
- You need dynamic computation graphs.
- You want to start without paying.
- You work on Linux, Windows, macOS.
- You also want automatic differentiation.
Questions people ask
- Is Cockroach Labs or PyTorch better?
- Neither clearly leads. Cockroach Labs starts at Free and PyTorch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cockroach Labs or PyTorch?
- Cockroach Labs starts at Free and PyTorch at Free.
- Does Cockroach Labs or PyTorch run on more platforms?
- Cockroach Labs runs on AWS, GCP, Azure. PyTorch runs on Linux, Windows, macOS.
- 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 PyTorch is typically brought in for.
- What can Cockroach Labs do that PyTorch cannot?
- Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training.
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.
SourcePyTorch: Is PyTorch free and open source?
Yes. PyTorch is an open source machine learning framework that is completely free to use. It was originally created and open-sourced by Facebook (now Meta) in 2016.
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.
SourcePyTorch: What platforms does PyTorch support?
PyTorch supports Linux, Windows, and macOS. It provides strong GPU acceleration through CUDA and other backends for high-performance computing.
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.
SourcePyTorch: Can I use PyTorch for production deployments?
Yes. PyTorch provides graph-based execution, distributed training, mobile deployment, and quantization features to support production deployments.
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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- PyTorch vs PostgreSQL
- PyTorch vs Airtable
- PyTorch vs Amazon Aurora
- PyTorch vs Elasticsearch
- PyTorch vs Apache Kafka
- PyTorch vs PlanetScale
- PyTorch vs Meilisearch
- PyTorch vs Turso
- PyTorch vs Azure SQL
- PyTorch vs ClickHouse
- PyTorch vs Couchbase
- PyTorch vs DuckDB
- PyTorch vs MariaDB
- PyTorch vs Oracle Database
- PyTorch vs DataGrip
- PyTorch vs Firebolt
- PyTorch vs Google Cloud SQL
- PyTorch vs MotherDuck
- PyTorch vs AWS SageMaker
- PyTorch vs Google Vertex AI
- PyTorch vs Azure Machine Learning
- PyTorch vs DataRobot
- PyTorch vs MLflow
- PyTorch vs Snowflake
- PyTorch vs TensorFlow
- PyTorch vs Comet ML
- PyTorch vs Jupyter
- PyTorch vs LangChain
- PyTorch vs Pinecone
- PyTorch vs Python
- PyTorch vs scikit-learn
- PyTorch vs Apache Spark MLlib
- PyTorch vs Weaviate
- PyTorch vs Weights & Biases
- PyTorch vs Alteryx
- PyTorch vs Anaconda

