PlanetScale
6.6#15 in data version control toolsFrom $5 a monthWebAPILinuxmacOS
VisitPlanetScale vs Weights & Biases
Weights & Biases
8.3#1 in ml experiment tracking softwareFrom $60 a monthFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | PlanetScale | Weights & Biases |
|---|---|---|
| Founded | 2018 | LinkedIn lists the company as founded in 2017. |
| Headquarters | San Francisco, California, United States | San Francisco, California, United States |
| Integrations | The site lists Fivetran, Airbyte, Hightouch, Datadog, Vantage, and Debezium integrations for Vitess, and Prometheus, Datadog, and pganalyze monitoring integrations for Postgres. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Product | PlanetScale is a relational database platform offering managed Vitess, Neki, and PostgreSQL clusters. | Weights & Biases describes itself as an AI developer platform for building AI agents, applications, and models. |
| Security | PlanetScale documents encryption at rest and in transit, TLS 1.3 for API and dashboard communications, and optional private connectivity through AWS PrivateLink or GCP Private Service Connect. | The SaaS deployment states SOC 2 Type 2 certification, team-level data isolation and SSO support. |
| Support | Enterprise plans include business-level support, and customers can optionally purchase Enterprise support with direct Slack access to support engineers. | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. |
PlanetScale plans
- Base — PlanetScale Postgres single node$5 a month
- Base — PlanetScale Postgres Metal$50 a month
- Base — Vitess, Neki, and other configurations—
- EnterprisePriced on request
Weights & Biases plans
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced on request
Pick PlanetScale if…
You want what its maker publishes above — check its page for the details.
Pick Weights & Biases if…
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.