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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
Gologin Cloud Browser logo
Gologin Cloud Browser
✓ verifiedPaid

Serverless cloud browser API with persistent sessions, built-in stealth and proxies, for AI agents, automation and scraping.

655K visits/mo
93K visits/mo
DHTMLX Chatbot logo
DHTMLX Chatbot
✓ verifiedFree

Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.

92K visits/mo
Pricing
Free: $0/mo (0.25 vCPUs, 1k requests/day, 10GB storage)
Developer: $49/mo (0.5 vCPUs, 25GB storage, 2 replicas)
Professional: $24/mo billed annually (100 profiles)
Business: $49/mo billed annually (300 profiles)
Enterprise: $99/mo billed annually (1000 profiles)
Custom: $149/mo billed annually (2000+ profiles)

Free trial available

No public pricing

No public pricing

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
  • Serverless cloud Chromium browsers
  • Persistent logged-in sessions
  • Built-in stealth / anti-detect fingerprinting
  • Residential & datacenter proxies in 150+ countries
  • Playwright/Puppeteer WebSocket connection
  • Headful mode for live inspection
  • 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)
  • MIT-licensed and free to use
  • Lightweight (~65kb) JavaScript widget
  • 4 message display modes plus typewriter effect
  • Markdown support and chat history
  • Backend hook to integrate any LLM
  • Responsive, mobile-friendly, read-only mode
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
  • Running AI browser agents
  • Web scraping at scale
  • Automating logged-in workflows
  • Debugging automation in live sessions
  • 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
  • Adding an AI chat UI to web apps
  • Building LLM-powered support agents
  • Embedding chat widgets in existing products
  • Prototyping chatbot interfaces
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