Databases · head to head
Cockroach Labs vs scikit-learn
The short version
- Each has a real cost: Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only); scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays
- They diverge on capability: Cockroach Labs covers Distributed SQL, scikit-learn covers Classification algorithms.
Where they differ
Only the attributes on which Cockroach Labs and scikit-learn actually diverge.
| Attribute | Cockroach Labs | scikit-learn |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | AWS, GCP, Azure | Python, Linux, macOS, Windows |
| Category | Databases | Machine Learning |
| Founded | 2015 | 2007 |
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 scikit-learn
- Classification algorithms
- Regression models
- Clustering methods
- Dimensionality reduction
- Model selection
- NumPy
- SciPy
- Pandas
What people use each for
The jobs each tool is most often brought in to do.
Cockroach Labs
- Distributed SQL database for scalable applicationsnot scikit-learn
- Multi-region deployment and failovernot scikit-learn
scikit-learn
- 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
scikit-learn
- No GPU acceleration by default; limited optional GPU support requires external arrays
- Single-machine only; no built-in distributed computing across clusters
- All datasets must fit entirely in RAM; no out-of-core learning
- No production-grade deep learning; neural network support limited to basic multilayer perceptron
- No reinforcement learning algorithms
Pricing, plan by plan
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
scikit-learn
FreeNo published plan breakdown. See the scikit-learn 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 scikit-learn if
- You need classification algorithms.
- You want to start without paying.
- You work on Python, Linux, macOS, Windows.
- You also want regression models.
Questions people ask
- Is Cockroach Labs or scikit-learn better?
- Neither clearly leads. Cockroach Labs starts at Free and scikit-learn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cockroach Labs or scikit-learn?
- Cockroach Labs starts at Free and scikit-learn at Free.
- Does Cockroach Labs or scikit-learn run on more platforms?
- Cockroach Labs runs on AWS, GCP, Azure. scikit-learn runs on Python, Linux, macOS, 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 scikit-learn is typically brought in for.
- What can Cockroach Labs do that scikit-learn cannot?
- Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.
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.
Sourcescikit-learn: Does scikit-learn support GPU acceleration?
Scikit-learn has no native GPU support by design to keep installation simple and cross-platform. Since 2023, a limited number of estimators can run on GPUs if input data is provided as PyTorch or CuPy arrays, but this requires additional setup.
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.
Sourcescikit-learn: Can scikit-learn handle datasets larger than RAM?
No. Scikit-learn is built on NumPy which requires all data to fit in memory, and NumPy operates on single-machine CPUs only. For very large datasets, consider Spark MLlib or distributed alternatives.
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.
Sourcescikit-learn: Is scikit-learn free to use commercially?
Yes. Scikit-learn is open source under the BSD license, which allows free commercial use, modification, and distribution.
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.
Sourcescikit-learn: What neural network capabilities does scikit-learn have?
Scikit-learn includes only a basic multilayer perceptron (MLPClassifier and MLPRegressor) for simple feedforward networks. For serious deep learning, use PyTorch, TensorFlow, or Keras instead.
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.
Sourcescikit-learn: Does scikit-learn include natural language processing?
Scikit-learn has minimal NLP support limited to basic text feature extraction and vectorization. For comprehensive text processing, use spaCy or NLTK instead.
Sourcescikit-learn: When was scikit-learn first released?
Scikit-learn's first public release was February 1, 2010, following its start as a Google Summer of Code project in 2007.
SourceRelated pages
More on Cockroach Labs
More on scikit-learn
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- scikit-learn vs PostgreSQL
- scikit-learn vs Airtable
- scikit-learn vs Amazon Aurora
- scikit-learn vs Elasticsearch
- scikit-learn vs Apache Kafka
- scikit-learn vs PlanetScale
- scikit-learn vs Meilisearch
- scikit-learn vs Turso
- scikit-learn vs Azure SQL
- scikit-learn vs ClickHouse
- scikit-learn vs Couchbase
- scikit-learn vs DuckDB
- scikit-learn vs MariaDB
- scikit-learn vs Oracle Database
- scikit-learn vs DataGrip
- scikit-learn vs Firebolt
- scikit-learn vs Google Cloud SQL
- scikit-learn vs MotherDuck
- scikit-learn vs AWS SageMaker
- scikit-learn vs Google Vertex AI
- scikit-learn vs Azure Machine Learning
- scikit-learn vs DataRobot
- scikit-learn vs MLflow
- scikit-learn vs Snowflake
- scikit-learn vs TensorFlow
- scikit-learn vs Comet ML
- scikit-learn vs Jupyter
- scikit-learn vs LangChain
- scikit-learn vs Pinecone
- scikit-learn vs Python
- scikit-learn vs PyTorch
- scikit-learn vs Apache Spark MLlib
- scikit-learn vs Weaviate
- scikit-learn vs Weights & Biases
- scikit-learn vs Alteryx
- scikit-learn vs Anaconda


