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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Tinybird logo
Tinybird
✓ verifiedFreemium

Managed ClickHouse platform giving developers hosted ingestion and query APIs to ship real-time analytics products fast.

104K visits/mo
Windsurf Editor logo
Windsurf Editor
✓ verifiedFree trial

AI-powered code editor with agentic workflows for developers.

3.3M visits/mo
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing
Free: $0/mo (0.25 vCPUs, 1k requests/day, 10GB storage)
Developer: $49/mo (0.5 vCPUs, 25GB storage, 2 replicas)

No public pricing

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Core features
  • Managed, hosted ClickHouse database
  • Sub-second SQL query APIs
  • Kafka and other data connectors
  • Safe, zero-downtime schema migrations
  • Git-based branching with zero-copy prod data
  • SOC 2 Type II enterprise security
  • AI-powered code completion and suggestions
  • Automated lint fixing
  • Cascade agent for advanced coding assistance
  • Integrated app building and deployment
  • MCP server support for custom tools
  • Terminal command integration
  • Memory of codebase structure and workflow
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
Use cases
  • Building real-time analytics dashboards
  • Powering in-app usage or event analytics
  • Streaming Kafka topics into query-ready tables
  • Letting AI coding agents build and deploy analytics
  • Accelerating software development by automating repetitive tasks
  • Reducing onboarding time for new developers
  • Improving code quality and reducing tech debt
  • Streamlining the app building and deployment process
  • Enhancing developer productivity by keeping them in a state of flow
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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