Real-time OLAP databases · Tinybird, Inc.

Tinybird

Managed real-time analytics platform, built on ClickHouse, for turning event streams into low-latency API endpoints.

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Tinybird is a commercial, fully managed platform for building real-time analytics APIs on top of streaming or batch event data, using ClickHouse as its underlying storage and query engine. Developers ingest data via Kafka, HTTP, or file connectors, write SQL transformations called Pipes, and publish the result as a versioned, auto-scaled REST API endpoint without managing infrastructure. It targets engineering teams embedding analytics features into products (usage dashboards, real-time leaderboards, fraud signals) rather than analysts doing ad hoc exploration. Tinybird is cloud-only and does not offer a self-hosted option. Pricing combines a monthly plan fee with usage-based charges for compute time and storage, with a free tier for prototyping and negotiated pricing at higher volumes.

At a glance

Vendor Tinybird, Inc.
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud
Open source No
Best for Product engineering teams embedding real-time analytics features directly into applications.

Pricing

Free tier for small workloads; paid plans combine a base monthly fee with usage-based compute and storage charges; larger volumes are custom-quoted.

Plan Price Notes
Free $0 0.25 vCPU, 10GB storage, 1,000 requests/day, community support
Developer From $25/month (billed annually) 0.5 vCPU, 25GB included storage; overage billed at $0.0002/vCPU-second and $0.058/GB storage
SaaS / Enterprise Custom quote Up to 32 vCPU (SaaS) or unlimited/dedicated infrastructure (Enterprise); private regions and premier support available

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Kafka, HTTP and file connectors for ingestion
  • SQL-based transformation pipelines ("Pipes")
  • One-click publishing of queries as REST API endpoints
  • Built on ClickHouse for sub-second aggregation
  • Version control and CI/CD for data pipelines
  • Auto-scaling compute

Integrations

Profile last reviewed September 21, 2026

Alternatives

ClickHouse Cloud Fully managed cloud version of ClickHouse, billed by compute and storage rather than server count. ClickHouse Open-source columnar database built for sub-second aggregate queries over billions of rows. StarTree Fully managed cloud service for Apache Pinot, built by Pinot's original creators. QuestDB High-throughput open-source time-series database with SQL, built for fast ingestion of market, IoT and metrics data.

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Terms to know

Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. OLAP (online analytical processing) A category of technology optimized for fast, multi-dimensional aggregation and slicing of data for analysis. Query engine The software component that parses, plans, and executes queries against one or more data sources. Real-time OLAP An analytical database that ingests streaming data continuously and answers aggregation queries with sub-second latency.

Related guides

How to choose a real-time OLAP database Real-time OLAP databases trade operational complexity for speed on fresh data — the decisions are architecture, query concurrency, and who runs it.