Elastic vs PlanetScale
A source-aware comparison of pricing, documented capabilities and workflow fit.
Short answer
- Price: not directly comparable — Elastic is free tier available, PlanetScale is free tier available.
- How to start: both are free tier available.
- Where they differ: only Elastic has open source / self-hostable; both offer public api and sso (saml).
These lines are generated from the pricing we track, not from a paid placement. How we score tools.
What Elastic is
Elastic builds on Elasticsearch to provide search, log analytics and observability, available self-hosted or as a managed cloud. The same engine backs product search, log analytics and security use cases, so one cluster can serve teams that would otherwise buy three tools. The trade-off is operational: index design, shard sizing and retention decide whether the cluster stays affordable.
What PlanetScale is
PlanetScale is a managed MySQL platform whose distinguishing feature is database branching: you branch a schema like code, open a deploy request, and merge it without locking tables. Schema changes stop being the scary part of a release: a branch is reviewed and merged without locking the table. The trade-off is that foreign key behaviour and some MySQL features work differently under its sharding model, which has to be designed for.
Side by side
| Elastic | PlanetScale | |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| How to start | Free tiernot a monthly price | Free tiernot a monthly price |
| Public API | Yes | Yes |
| Mobile app | No | No |
| Open source / self-hostable | Yes | No |
| SSO (SAML) | Yes | Yes |
| Visit | Elastic ↗ | PlanetScale ↗ |
What Elastic is built to do
- Full-text search
- Indexes documents for relevance-ranked queries with analyzers and synonyms.
- Log and metrics analytics
- Ingests operational data and queries it through Kibana dashboards.
- Self-hosted or managed
- Runs on your own infrastructure or as a managed cloud deployment.
What PlanetScale is built to do
- Database branching
- Branches a schema like code and merges it through a deploy request.
- Non-blocking schema changes
- Applies migrations without locking tables in production.
- Managed MySQL
- Runs MySQL-compatible clusters without server administration.
Choose Elastic if
- Teams needing serious search or log analytics on large volumes.
Choose PlanetScale if
- Teams shipping frequent schema changes who want to avoid migration downtime.
Evidence and freshness
Where a claim on this page comes from a vendor page, it is linked here.
Elastic: pros & cons
- Extremely capable search and aggregation
- One stack for logs, metrics and search
- Large ecosystem and documentation
- Operationally demanding at scale
- Licensing changes have caused confusion
- Resource-hungry compared with focused tools
PlanetScale: pros & cons
- Schema changes without downtime
- Branching workflow that mirrors Git
- Managed, with no server maintenance
- No foreign key constraints in the traditional sense
- Costs rise quickly beyond small workloads
- Ties you to their platform and workflow
Our verdict on Elastic
Powerful and heavy in equal measure. If you only need log search, cheaper focused tools exist.
Our verdict on PlanetScale
The branching model genuinely solves a painful problem. Check the pricing tiers against your read volume before committing.