Greptile
Xata
| Feature | Xata | |
|---|---|---|
| Pricing | Free / from $100/mo | Free / from $8/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.3 / 5 |
| Best For | developer-tool-builders, engineering-teams, code-review, onboarding-new-developers | developers, startups, jamstack-apps, full-stack-teams |
| Founded | 2023 | 2020 |
| Codebase Indexing | ✓ | ✗ |
| Natural Language Queries | ✓ | ✗ |
| Code Review | ✓ | ✗ |
| Documentation Generation | ✓ | ✗ |
| Api Access | ✓ | ✗ |
| Multi Repo | ✓ | ✗ |
| Context Retrieval | ✓ | ✗ |
| Serverless Database | ✗ | ✓ |
| Full Text Search | ✗ | ✓ |
| Vector Search | ✗ | ✓ |
| File Attachments | ✗ | ✓ |
| Branching | ✗ | ✓ |
| Api | ✗ | ✓ |
✓ Greptile Pros
- Deep semantic understanding of entire repositories
- API-first for embedding in your own tools
- Supports private repos across GitHub, GitLab, Bitbucket
- Answers questions about code architecture and logic
✗ Greptile Cons
- API-only (no standalone consumer product)
- Indexing time for large repos can be slow
- Limited language/framework support for newest tech
✓ Xata Pros
- Built-in search and AI
- Spreadsheet-like UI
- Generous free tier
- TypeScript SDK
✗ Xata Cons
- Less flexible than raw Postgres
- Newer platform
- Limited for complex queries
The Verdict
Greptile is built for developer tool builders and engineering teams, with a focus on codebase-indexing and natural-language-queries. Xata targets developers and startups and leads with serverless-database and full-text-search.
On pricing, Xata is the clear winner for budget-conscious users — starting at $8/mo compared to $100/mo for Greptile. That $92/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Greptile offers broader built-in capabilities (7 features vs 6), while Xata takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.