Tinybird
Tinybird enables data teams to create low-latency, high-concurrency analytical API endpoints using SQL, ingesting millions of rows per second for real-time data products.
Tinybird is a powerful platform for building real-time data products at scale. It offers a unique combination of features that make it ideal for data teams looking to create high-performance analytical APIs:
Key Benefits:
- SQL-based API endpoints: Create and publish API endpoints directly from SQL queries, making it easy to expose your data to applications.
- Blazing fast ingestion: Ingest millions of rows per second, combining real-time events with batch data seamlessly.
- Flexible data modeling: Use SQL in node-based pipelines to create endpoints, materialized views, copy tasks, or sink jobs.
- Enterprise-ready: SOC2 Type II and HIPAA compliant, suitable for demanding use cases.
- Built on ClickHouse: Leverage the power of ClickHouse for querying billions of rows in milliseconds with 99.9% uptime.
Developer-friendly features:
- Data branching: Test changes in isolated environments before deploying to production.
- CI/CD integration: Automate deployments using the Tinybird CLI.
- Embedded charts: Turn API endpoints into customizable visualizations quickly.
- Granular authentication: Use static tokens or JWT for fine-grained control over data access.
Tinybird manages the infrastructure, allowing you to focus on building revenue-generating data products. It's particularly well-suited for use cases like:
- User-facing analytics
- Real-time dashboards
- Time-series analysis
- UX personalization
- Internal analytics
With its simple, fair pricing model and ability to handle massive scale, Tinybird empowers teams to build and ship real-time data products faster and more cost-effectively than traditional approaches.