Software · head to head
PlanetScale vs Together AI
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: PlanetScale eBS High Availability requires 3-node configuration with replication overhead; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: PlanetScale covers Database Branching, Together AI covers Open-source models.
Where they differ
Only the attributes on which PlanetScale and Together AI actually diverge.
| Attribute | PlanetScale | Together AI |
|---|---|---|
| Starting price | $15/month | Free |
| Pricing model | subscription | usage-based |
| Free tier | No | Yes |
| Platforms | Cloud-hosted (AWS, GCP, Azure) | Api, Cloud |
| Founded | 2018 | 2022 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
What people use each for
The jobs each tool is most often brought in to do.
PlanetScale
- MySQL database hosting with automatic failover and replicationnot Together AI
- Vitess-based sharding for horizontal scaling across large datasetsnot Together AI
- Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot Together AI
- Cost-effective database clusters using ARM64 architecture optionsnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot PlanetScale
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot PlanetScale
- Fine tuning open weight models on a per token basisnot PlanetScale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PlanetScale
- EBS High Availability requires 3-node configuration with replication overhead
- EBS Non-HA single-node option lacks redundancy and automatic failover
- Pricing varies by cloud provider and region, requiring queries for specific rates
- ARM64 architecture only available on EBS tier, not Metal deployments
Together AI
- Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
- Volume and enterprise discounts are quote only with no published threshold
- Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published
Pricing, plan by plan
PlanetScale
$15/monthNo published plan breakdown. See the PlanetScale review.
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Which should you pick?
Choose PlanetScale if
- You need database branching.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is PlanetScale or Together AI better?
- Neither clearly leads. PlanetScale starts at $15/month and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PlanetScale or Together AI?
- Together AI has a free tier; the other does not. Paid plans start at $15/month for PlanetScale and Free for Together AI.
- Does PlanetScale or Together AI run on more platforms?
- PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). Together AI runs on Api, Cloud.
- Can I use Together AI for free?
- Yes. Together AI has a free tier, so you can try it without paying. PlanetScale starts at $15/month.
- What is PlanetScale best used for?
- PlanetScale is most often used for mysql database hosting with automatic failover and replication, vitess-based sharding for horizontal scaling across large datasets, cloud provider flexibility across aws, gcp, azure with 60+ regions, cost-effective database clusters using arm64 architecture options. Of those, mysql database hosting with automatic failover and replication and vitess-based sharding for horizontal scaling across large datasets are not what Together AI is typically brought in for.
- What can PlanetScale do that Together AI cannot?
- PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Related pages
More on PlanetScale
More on Together AI
Keep looking
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