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93K visits/mo
Browserless logo
Browserless
✓ verifiedFreemium

Managed headless-Chrome infrastructure that runs Puppeteer/Playwright scripts at scale with anti-bot bypass, so teams skip browser ops.

242K visits/mo
Tinybird logo
Tinybird
✓ verifiedFreemium

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

104K visits/mo
HTTPie logo
HTTPie
✓ verifiedFreemium

Human-friendly API testing client for terminal, desktop and web, known for readable syntax; the CLI is open source.

82K visits/mo
Pricing

No public pricing

Free: $0 (1k units/mo, 2 browsers)
Prototyping: $25/mo (20k units)
Starter: $140/mo (180k units)
Scale: $350/mo (500k units)
Free: $0/mo (0.25 vCPUs, 1k requests/day, 10GB storage)
Developer: $49/mo (0.5 vCPUs, 25GB storage, 2 replicas)

No public pricing

Core features
  • Fully managed TiDB service
  • Easy deployment on AWS, Google Cloud, Azure, and Alibaba Cloud
  • Scalable and reliable MySQL-compatible database
  • Elastic scaling of storage, transactional, and analytical workloads
  • Robust security compliance (SOC 1/2/3, ISO 27001/27701, PCI DSS, GDPR, HIPAA)
  • Managed headless browsers (browser-as-a-service)
  • Drop-in Puppeteer/Playwright support
  • Anti-bot bypass and CAPTCHA solving
  • Screenshot, PDF and download APIs
  • MCP server for AI agents
  • Self-hosted and cloud deployment
  • Live debugger and observability
  • 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
  • Human-friendly command-line HTTP client
  • Web and desktop GUI apps
  • Simple, readable request syntax
  • Request export/import and history
  • Path parameters and 'copy as command'
  • Open-source terminal version
Use cases
  • Building mission-critical applications requiring scalable and reliable databases
  • Managing and scaling transactional and analytical workloads
  • Deploying databases across multiple cloud providers and regions
  • Ensuring data security and compliance with industry standards
  • Run web scraping without infrastructure headaches
  • Automate browser workflows and tests
  • Give AI agents a reliable browser
  • Generate screenshots and PDFs via API
  • 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
  • Testing REST APIs
  • Sending and inspecting HTTP requests
  • Debugging web services
  • Sharing API requests across a team
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