ClearML vs PlanetScale
ClearML
clear.ml
PlanetScale
planetscale.comSide by side
| Figure | ClearML | PlanetScale |
|---|---|---|
| Price from | $15/mo | $5/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 4 | 4 |
| Spec score · Data Version Control Tools | 8.7 (#4) | 7.6 (#24) |
| Headquarters | Berkeley, California, USA | San Francisco, California, United States |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | The site lists Fivetran, Airbyte, Hightouch, Datadog, Vantage, and Debezium integrations for Vitess, and Prometheus, Datadog, and pganalyze monitoring integrations for Postgres. |
| Product | ClearML describes its AI infrastructure platform as three layers: Infrastructure Control Plane, AI Development Center, and GenAI App Engine. | PlanetScale is a relational database platform offering managed Vitess, Neki, and PostgreSQL clusters. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | Enterprise plans include business-level support, and customers can optionally purchase Enterprise support with direct Slack access to support engineers. |
Plans
ClearML
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
PlanetScale
- Base — PlanetScale Postgres single node$5 a month
- Base — PlanetScale Postgres Metal$50 a month
- Base — Vitess, Neki, and other configurationsPrice not published
- EnterprisePriced on request
In their own words
ClearML
ClearML is an AI infrastructure platform organized into an Infrastructure Control Plane, AI Development Center, and GenAI App Engine. The Control Plane manages GPU resources across on-premises, cloud, and hybrid environments, including multi-tenant GPU-as-a-Service. The Development Center supports developing, training, testing, and deploying AI/ML models, with monitoring, pipelines, a model repository, and CI/CD integration. The GenAI App Engine deploys LLMs on compute clusters and provides networking, authentication, access control, and monitoring. Experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration appear across the listed tiers. Integrations include PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain; storage integrations include AWS S3, Azure, Google Storage, MinIO, and Backblaze B2. ClearML can be hosted on its servers, self-hosted, or provided as a managed service, with VPC, on-premises including air-gapped, and hybrid options. Community is free; Pro costs $15 a month per user plus usage. Scale and Enterprise pricing is by quote.
PlanetScale
PlanetScale has no write-up on Specifiction yet; its figures are above.