Ascend.io
Analytics & Data
Automated data pipeline platform that adapts to schema changes without breaking your workflows.
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About Tinybird
Tinybird lets you turn raw data streams into real-time APIs using plain SQL. No Kafka, no Spark, no DevOps—just write queries and get endpoints that handle millions of requests per second.
What it does
You connect data sources (like ClickHouse, Kafka, or HTTP streams), write SQL transformations in a web editor, and Tinybird automatically deploys them as low-latency HTTP APIs. It handles scaling, caching, and monitoring behind the scenes.
Best for
- Data engineers tired of managing streaming infrastructure
- Product teams that need real-time dashboards or personalization
- Startups building data-intensive features without a big ops budget
Strengths
- SQL-first—no new language to learn
- Auto-scaling from zero to millions of requests
- Built-in observability for query performance
Key features
- SQL editor — write and test transformations in-browser
- Auto-deployed APIs — every query becomes a REST endpoint
- Streaming ingestion — supports Kafka, HTTP, and batch sources
- Real-time caching — configurable TTL for sub-millisecond responses
- Usage analytics — monitor endpoint latency, error rates, and volume
- Role-based access — control who can edit or deploy
