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Tinybird logo
Tinybird
✓ verifiedFreemium

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

104K visits/mo
The New GitBook logo
The New GitBook
✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves
APIMart logo
APIMart
✓ verifiedPaid

Unified API gateway to 500+ AI models (GPT, Claude, Sora, image/video) with OpenAI-compatible endpoints and discounted usage.

328K visits/mo1.9K saves
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 trial available

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
  • Publish structured documentation sites
  • Git sync for docs-as-code workflows
  • AI setup agent to build and import docs
  • GitBook MCP server for AI access
  • Enterprise controls
  • Free tier to start
  • Single OpenAI-compatible API for 500+ models
  • Chat, image, video and audio models
  • Discounted per-request pricing
  • One dashboard for keys, quotas and usage
  • Multi-region routing and failover (99.9% uptime)
  • Multiple payment methods incl. crypto
  • 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
  • Publish product and API documentation
  • Maintain docs-as-code with Git sync
  • Make docs consumable by AI assistants
  • Import existing docs into a hosted site
  • Accessing many AI models via one API
  • Cutting AI model API costs
  • Building multimodal AI apps
  • Consolidating AI billing and keys
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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