What does Tinybird do?

Tinybird builds real-time APIs on streaming data using SQL, turning data streams into fast APIs for applications.

Who is Tinybird best for?

Tinybird is best for developers and teams building real-time data applications, SaaS products, and data-intensive services.

Do I need to install anything to use Tinybird?

No, Tinybird is a fully managed cloud platform, so you do not need to install anything to use it.

Is Tinybird free to use?

Yes, Tinybird offers a free plan with no time limit and no credit card required.

Does Tinybird offer a free trial or demo?

Yes, Tinybird offers a permanent free plan that acts as a free trial with no time limit.

Does Tinybird have a plan for teams or businesses?

Yes, Tinybird has Developer, SaaS, and Enterprise plans for teams and businesses.

Does Tinybird offer an API or integrations?

Yes, Tinybird's core function is publishing data as fast APIs, and it offers connectors like Kafka, S3, and Events API.

How do I contact Tinybird support?

Contact Tinybird support through email for Free and Developer plans, or request a dedicated engineer and Slack channel on higher plans.

Tinybird: Reviews, Pricing, Alternatives & Features (2026)

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Tinybird is a real-time data platform for data and engineering teams that need to ingest high-volume data, run SQL transformations, and serve low-latency analytics through APIs.

Key capabilities include:

Managed ClickHouse® for millisecond queries over billions of rows, designed for production workloads with 99.9% uptime.
Streaming and batch ingestion from sources such as Kafka, HTTP streams, S3, GCS, and databases, with automatic schema migrations and backpressure handling.
SQL-based real-time pipelines using materialized views that update automatically to accelerate queries.
API publishing from SQL that turns any query into scalable OpenAPI endpoints with auto-generated Swagger docs, token-based auth, rate limiting, and observability.

Pricing: Freemium, with a free plan. Paid plans include Developer ($49/month). SaaS and Enterprise plans have custom pricing.

What makes it notable: It combines a managed ClickHouse backend with an ingestion layer, SQL pipeline development workflow (including CLI and Git integration), and an API layer for serving sub-second analytics. It also offers a self-managed Kubernetes deployment on AWS (beta), with additional cloud support stated as coming for GCP and Azure.

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