Tinybird

Create real-time data products efficiently with low-latency, high-concurrency SQL-based API endpoints, unifying batch and streaming data without custom scripts.
Real-time Data Processing Data Product Development API Integration

Tinybird is designed to let data teams create real-time data products as efficiently as possible. It uses SQL-based API endpoints to both ingest and serve big data sets with low latency and high concurrency. By combining batch and streaming data, Tinybird lets you create fast data products without having to write custom scripts or add extra tooling.

Some of Tinybird's features include:

  • Real-time Ingestion: Ingest millions of rows per second from a variety of event streams, files and tables.
  • SQL-based API Endpoints: Query and publish data using SQL and expose results as low-latency, high-concurrency HTTP APIs.
  • Unify Data Sources: Combine streams, files and tables without custom scripts or extra tooling.
  • Developer Experience: Use familiar SQL and Git to build and version data products, making it easier to collaborate and iterate.
  • Built on ClickHouse: Takes advantage of ClickHouse's high-performance capabilities for analytical queries.

Tinybird is useful for a range of use cases, including user-facing analytics, real-time personalization, sports betting and smart inventory management. It's particularly good for situations where you need to process data as fast as possible and respond with low-latency API calls.

Pricing is based on the amount of data you process and store. The Free plan is good for small projects, with a 1000 requests per day and 10 GB of storage. The Professional plan has unlimited requests and tiered pricing for data processing and storage. Enterprise support is available with custom pricing for large-scale workloads. All plans have unlimited seats, data sources and API endpoints, so they can handle teams of any size.

By offering a platform for building fast data products, Tinybird hopes to make it easier for data teams to work with real-time data and to cut the costs of data warehousing and middleware products. Overall, Tinybird is a good option for data teams that need to speed up their data product development and make their data workflows more efficient.

Published on July 5, 2024

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