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Tinybird

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by Tinybird · since 2019

Managed ClickHouse platform that turns SQL pipes into low-latency, versioned HTTP APIs.

columnar / olaprelationaltime-seriesbackend platformproprietarygrowing
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Overview

Tinybird is a developer platform on top of managed ClickHouse: you ingest events over an HTTP Events API, Kafka or S3, write SQL 'pipes', and publish them as parameterized, authenticated REST endpoints. Projects are defined as code, versioned in Git, deployed via CLI, and can be run locally with the Tinybird Local container. It removes most ClickHouse operations and API plumbing, which makes it popular for user-facing analytics in SaaS products. You trade some control and portability for that convenience, and costs scale with processed data and requests.

Real-time analyticsAnalytics (OLAP)Observability

Strengths & trade-offs

Strengths

  • +Publish SQL queries as authenticated, parameterized REST APIs in minutes
  • +High-throughput HTTP Events API and Kafka connectors for ingestion
  • +Projects as code with CLI, Git workflows and local development container
  • +ClickHouse performance without operating ClickHouse
  • +Incremental materialized views for real-time rollups

Trade-offs

  • −Tied to Tinybird's platform; moving away means rebuilding APIs
  • −Usage-based billing can climb with heavy query traffic
  • −Less control over ClickHouse settings than self-managed
  • −No self-hosted production deployment

Great for

  • +User-facing analytics in SaaS apps
  • +Web and product analytics
  • +Usage-based billing metering
  • +Real-time personalization APIs

Think twice for

  • −Traditional BI warehouse with complex modeling
  • −OLTP
  • −On-prem or air-gapped environments

Capabilities

Native or official first-party support · 10 of 25 tracked

✓Joins
✓JSON
✓Materialized views
✓TTL / expiry
✓Columnar storage
✓Durable persistence
✓Compression
✓Encryption at rest
✓Role-based access
✓Streaming ingest
–Transactions
–Secondary indexes
–Full-text search
–Vector search
–Geospatial
–Change data capture
–Triggers
–Stored procedures
–Pub/Sub
–In-memory
–Time travel
–Branching
–Online schema changes
–Offline sync
–Runs in WebAssembly

Scale & consistency

Comfortable data size
Large · ≤ 1 PB
Horizontal scaling
Native
Multi-region
No
Transactions
Limited ACID
Consistency
Eventual
Schema
Strict
Architecture
Serverless, Distributed, Shared storage
Query languages
SQL (ClickHouse dialect)

Runs on managed ClickHouse clusters sized per plan; dedicated infrastructure available.

Deployment

Self-hosted Vendor-managed cloud Serverless Embedded Edge Kubernetes operator

available on · AWS · Google Cloud

Ecosystem

compatible withClickHouse
apis & protocolsREST API endpoints, Events API (HTTP), ClickHouse HTTP interface
client languagesJavaScript, Python
used byVercel

Alternatives to Tinybird

Compare all→
ClickHouseColumnar / OLAP69.8

Open-source columnar OLAP database known for very fast aggregations over billions of rows.

tinybird vs clickhouse →
Apache PinotColumnar / OLAP29.9

Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates.

tinybird vs apache-pinot →
Apache DruidColumnar / OLAP35.0

Real-time analytics database for sub-second slice-and-dice over streaming event data.

tinybird vs apache-druid →
MotherDuckColumnar / OLAP37.7

Serverless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution.

tinybird vs motherduck →
RocksetDocument0.4

Former real-time search and analytics cloud on RocksDB, shut down after OpenAI acquired it in 2024.

tinybird vs rockset →
FireboltColumnar / OLAP7.8

Low-latency analytical database with a Postgres-compliant dialect, as cloud service or self-hosted Core.

tinybird vs firebolt →

Tinybird FAQ

What is Tinybird?

Tinybird is a columnar / OLAP database by Tinybird, first released in 2019. Tinybird is a developer platform on top of managed ClickHouse: you ingest events over an HTTP Events API, Kafka or S3, write SQL 'pipes', and publish them as parameterized, authenticated REST endpoints. Projects are defined as code, versioned in Git, deployed via CLI, and can be run locally with the Tinybird Local container. It removes most ClickHouse operations and API plumbing, which makes it popular for user-facing analytics in SaaS products. You trade some control and portability for that convenience, and costs scale with processed data and requests.

Is Tinybird open source?

No. Tinybird is proprietary, closed-source software.

Does Tinybird support ACID transactions?

Partly. Tinybird offers limited ACID guarantees (for example, single-record or single-partition transactions), with eventual consistency.

Does Tinybird scale horizontally?

Tinybird scales horizontally out of the box, with built-in sharding or partitioning. It is comfortable at large scale (≤ 1 PB).

How can I run Tinybird?

You can use the vendor's managed cloud and run it serverless. It is available on AWS and Google Cloud.

What is Tinybird best for?

Tinybird is a strong fit for user-facing analytics in SaaS apps; web and product analytics; and usage-based billing metering. Think twice for traditional BI warehouse with complex modeling.

What are the best alternatives to Tinybird?

Common alternatives to Tinybird include ClickHouse, Apache Pinot, Apache Druid, MotherDuck and Rockset. The right choice depends on your workload, scale and hosting; WhichDB's smart match ranks them against your requirements.

How popular is Tinybird?

Tinybird ranks #266 of 844 databases on the WhichDB Score (12.6/100), and #27 among columnar / OLAP databases. The score combines public adoption signals such as package downloads, GitHub activity, job posts and developer discussion.