Databases · head to head
Cockroach Labs vs Jupyter

Jupyter
Machine Learning
Interactive computing across all programming languages
- 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); Jupyter notebook format makes version control and collaboration difficult with multiple contributors
- They diverge on capability: Cockroach Labs covers Distributed SQL, Jupyter covers Interactive notebooks.
Where they differ
Only the attributes on which Cockroach Labs and Jupyter actually diverge.
| Attribute | Cockroach Labs | Jupyter |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | AWS, GCP, Azure | Web, Cross-platform, Linux, macOS, Windows |
| Category | Databases | Machine Learning |
| Founded | 2015 | 2014 |
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 Jupyter
- Interactive notebooks
- Live code execution
- Rich visualizations
- Markdown documentation
- Multi-language kernels
- Python
- R
- Julia
What people use each for
The jobs each tool is most often brought in to do.
Cockroach Labs
- Distributed SQL database for scalable applicationsnot Jupyter
- Multi-region deployment and failovernot Jupyter
Jupyter
- 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
Jupyter
- Notebook format makes version control and collaboration difficult with multiple contributors
- Performance degrades with large datasets due to loading entire dataset into memory
- Debugging capabilities limited compared to traditional IDEs
- No paid support or commercial backing
Pricing, plan by plan
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
Jupyter
FreeNo published plan breakdown. See the Jupyter 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 Jupyter if
- You need interactive notebooks.
- You want to start without paying.
- You work on Web, Cross-platform, Linux, macOS, Windows.
- You also want live code execution.
Questions people ask
- Is Cockroach Labs or Jupyter better?
- Neither clearly leads. Cockroach Labs starts at Free and Jupyter at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cockroach Labs or Jupyter?
- Cockroach Labs starts at Free and Jupyter at Free.
- Does Cockroach Labs or Jupyter run on more platforms?
- Cockroach Labs runs on AWS, GCP, Azure. Jupyter runs on Web, Cross-platform, 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 Jupyter is typically brought in for.
- What can Cockroach Labs do that Jupyter cannot?
- Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation.
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.
SourceJupyter: Is Jupyter free to use?
Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.
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.
SourceJupyter: What programming languages does Jupyter support?
Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.
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.
SourceJupyter: What is JupyterLab?
JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.
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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- Jupyter vs Apache Kafka
- Jupyter vs PlanetScale
- Jupyter vs Meilisearch
- Jupyter vs Turso
- Jupyter vs Azure SQL
- Jupyter vs ClickHouse
- Jupyter vs Couchbase
- Jupyter vs DuckDB
- Jupyter vs MariaDB
- Jupyter vs Oracle Database
- Jupyter vs DataGrip
- Jupyter vs Firebolt
- Jupyter vs Google Cloud SQL
- Jupyter vs MotherDuck
- Jupyter vs AWS SageMaker
- Jupyter vs Google Vertex AI
- Jupyter vs Azure Machine Learning
- Jupyter vs DataRobot
- Jupyter vs MLflow
- Jupyter vs Snowflake
- Jupyter vs TensorFlow
- Jupyter vs Comet ML
- Jupyter vs LangChain
- Jupyter vs Pinecone
- Jupyter vs Python
- Jupyter vs PyTorch
- Jupyter vs scikit-learn
- Jupyter vs Apache Spark MLlib
- Jupyter vs Weaviate
- Jupyter vs Weights & Biases
- Jupyter vs Alteryx
- Jupyter vs Anaconda

