Crisp vs Tinybird

Write SQL and publish it as low-latency HTTP endpoints, backed by columnar storage and serverless scaling, without managing clusters, sharding or Zookeeper.

Stream events over an HTTP Events API, Kafka, S3, GCS, DynamoDB or URLs in Parquet, CSV and NDJSON, so telemetry, transactions and logs land where you can query them.

Create zero-copy, full-stack environments with production data for testing, and roll out schema changes as safe migrations without taking the system offline.

A CLI plus TypeScript and Python SDKs, along with agent skills and a remote MCP server, let AI coding assistants build and deploy analytics pipelines directly.