Tinybird
Managed ClickHouse that turns SQL queries into production APIs
Overview
Tinybird runs managed ClickHouse behind a CLI/SQL workflow — ingest from Kafka, S3 or Postgres, transform with SQL, publish as a REST API. Founded 2019; built for real-time, user-facing analytics without operating ClickHouse yourself.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 0.25 vCPU shared
- 10GB storage
- 1,000 requests/day
- 0.5 vCPU shared
- 25GB storage
- 2 replicas
- Standard email support
- Up to 32 vCPUs
- 500GB storage
- Priority support
- Dedicated infrastructure
- Unlimited storage
- Cluster management
- Dedicated support
What you can produce with Tinybird
- SQL-to-REST-API publishing (no backend code)
- Managed ClickHouse with automatic version upgrades
- Connectors for Kafka, S3, GCS, Postgres CDC
- Free automated daily backups
- SOC 2 Type II and HIPAA-aligned controls
- Agent skills for Cursor, Claude Code and Codex
- Events API for streaming ingestion
ASEAN Perspective
Tinybird in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Tinybird's pitch is simple and it delivers: point it at a data source, write SQL, get back a versioned, authenticated REST endpoint that can take production traffic. For teams that need sub-second analytics APIs — usage dashboards, in-app leaderboards, personalization feeds — that's a real shortcut over standing up and tuning ClickHouse yourself.
Pricing is usage-based, and the vendor claims most non-enterprise customers land under $100/month, which tracks with how the free tier and the $25-49/month Developer tier are scoped. The 2026 push into "agent skills" for Cursor, Claude Code and Codex is more marketing surface than differentiator right now — the core product is still the SQL-to-API pipeline. Good fit if your bottleneck is building and operating real-time APIs; overkill if you just need a BI dashboard.
What people say
On G2, Tinybird sits at 4.1 out of 5, with the recurring theme being how little setup stands between "I have a CSV or a Kafka topic" and "I have a working API endpoint." One reviewer summed up the common sentiment: ingesting is easy, querying is easy, exposing data for your data products is easy. The trade-off shows up in the same reviews — a handful of users flag limited customization once you step outside Tinybird's SQL-pipe model, plus the usual growing pains around debugging what a published endpoint is doing under load.
The most cited proof point is Vercel. Vercel originally built its analytics on AWS Kinesis Firehose and Athena, with data landing up to 30 minutes after the fact. After moving to Tinybird, the same data is queryable within seconds, and Vercel has extended the setup into real-time alerting, DDoS detection and network traffic monitoring, with — per Tinybird's own case study — minimal hand-holding from the vendor. Tinybird leans on this case study heavily in its marketing, and it lines up with what the product is actually built for: ingest, SQL transform, publish as an endpoint, repeat.
On cost, Tinybird's own figures (not independently audited) claim 93% of non-enterprise customers pay under $100/month, with a sub-$10/month median for production use — consistent with a free tier (10GB storage, 1k requests/day) and a Developer tier starting around $25-49/month before usage overages kick in ($0.0002/vCPU-second, $0.058/GB storage). That plan-based, capped structure is one reason reviewers describe costs as predictable compared to raw ClickHouse Cloud billing.
Newer to the picture in 2026 is Tinybird's push toward AI-native workflows — shipping "agent skills" that teach coding agents like Cursor, Claude Code and Codex its CLI conventions and project layout, plus SOC 2 Type II and HIPAA-relevant controls for teams that need them. That's less battle-tested than the core analytics-API use case and reads more like Tinybird keeping pace with where its developer audience works than a mature product pillar yet.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Tinybird's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Tinybird unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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