Count vs Izlo
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Count Agents | Izlo Agents | |
|---|---|---|
| Tagline | Collaborative AI-powered data canvas that blends SQL, Python, and natural-language agents for team analytics. | Prompt management platform with version control, collaboration, and an API for production deployment. |
| Category | Agents | Agents |
| Pricing | Freemium· Free; Pro $49/editor/mo; Scale $69/editor/mo (15-seat min); Enterprise custom | Paid· Solo $20/mo; Pro $25/user/mo; Enterprise $39/user/mo |
| Model | Multi-model (Anthropic, OpenAI, Google) | Model-agnostic |
| Editorial score | 6.9 / 10 | 6.9 / 10 |
| Use cases | collaborative-analyticsai-data-explorationself-serve-bimetric-modelingsql-notebooks | prompt-managementversion-controlteam-collaborationprompt-testingproduction-deployment |
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| Website | count.co | getizlo.com |
Pick Count if
- ✅ Canvas model keeps AI work auditable rather than locked in chat threads
- ✅ Unlimited viewer seats make org-wide rollout affordable
- ✅ MCP and API support for connecting warehouses and external tools
- ✅ Mixes SQL, Python, and agent prompts in a single workspace
Pick Izlo if
- ✅ Git-style version history and activity log for every prompt change
- ✅ Remix sandbox isolates experiments from production prompts
- ✅ REST API lets you swap prompts without redeploying the app
- ✅ Built for multi-user team editing, not just solo developers