Databases · head to head
Cockroach Labs vs MLflow
MLflow
Machine Learning
Open source platform for managing the ML lifecycle
- 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); MLflow requires infrastructure setup: teams must manage MLflow tracking server, database, and artifact storage themselves
- They diverge on capability: Cockroach Labs covers Distributed SQL, MLflow covers Experiment tracking.
Where they differ
Only the attributes on which Cockroach Labs and MLflow actually diverge.
| Attribute | Cockroach Labs | MLflow |
|---|---|---|
| Pricing model | freemium | open-source |
| Platforms | AWS, GCP, Azure | Web, Python API, REST API |
| Category | Databases | Machine Learning |
| Founded | 2015 | 2018 |
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 MLflow
- Experiment tracking
- Model registry
- Model packaging
- Deployment
- Project organization
- TensorFlow
- PyTorch
- scikit-learn
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 MLflow
- Multi-region deployment and failovernot MLflow
MLflow
- 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
MLflow
- Requires infrastructure setup: teams must manage MLflow tracking server, database, and artifact storage themselves
- Basic UI and visualization: lacks rich interactive dashboards and real-time monitoring compared to commercial platforms
- Limited collaboration: no built-in role-based access control or multi-user management features
- Production monitoring gaps: drift detection, explainability, and alerting require separate dedicated tools
Pricing, plan by plan
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
MLflow
Free- Open SourceFree
- Experiment tracking
- Model registry
- Deployment tools
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 MLflow if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python API, REST API.
- You also want model registry.
Questions people ask
- Is Cockroach Labs or MLflow better?
- Neither clearly leads. Cockroach Labs starts at Free and MLflow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cockroach Labs or MLflow?
- Cockroach Labs starts at Free and MLflow at Free.
- Does Cockroach Labs or MLflow run on more platforms?
- Cockroach Labs runs on AWS, GCP, Azure. MLflow runs on Web, Python API, REST API.
- 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 MLflow is typically brought in for.
- What can Cockroach Labs do that MLflow cannot?
- Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. MLflow covers Experiment tracking, Model registry, Model packaging, Deployment. 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.
SourceMLflow: Is MLflow free to use?
Yes, MLflow is completely open-source and free. However, teams typically incur infrastructure costs for hosting and maintaining the MLflow tracking server. Databricks offers Managed MLflow as a commercial option for cloud deployment.
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.
SourceMLflow: Can MLflow track experiments for different ML frameworks?
Yes, MLflow is framework-agnostic and works with TensorFlow, PyTorch, scikit-learn, XGBoost, and any other ML framework. This flexibility is a core design principle allowing teams to use diverse tools.
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.
SourceMLflow: Does MLflow include a model registry?
Yes, MLflow Model Registry (added in 2018) provides a central model store with versioning, stage transitions, and deployment tracking. This enables production model governance and lineage tracking.
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.
SourceMLflow: What are MLflow's main limitations?
MLflow requires significant infrastructure setup and maintenance. The UI is basic compared to commercial tools, collaboration is limited without third-party RBAC solutions, and production monitoring requires separate tools for drift detection and alerting.
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.
SourceMLflow: Can MLflow handle LLM and agent tracing?
MLflow added LLM and agent tracing capabilities in recent versions, though the native support is limited compared to specialized LLM observability platforms that replaced weak LLM tracing.
SourceRelated pages
More on Cockroach Labs
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