Tinybird
A managed ClickHouse platform offering production-ready real-time analytics with streaming ingestion, instant SQL APIs, and high-throughput data processing. Tinybird simplifies deploying analytics infrastructure with zero-downtime schema migrations, connector integrations (Kafka, S3, GCS), and tools for building LLM/agent features at scale.
Overview
| Category | Analytics |
| Compliance | SOC2 |
| Self-Hostable | No |
| On-Prem | No |
| Best For | startup, growth, enterprise |
| Last Verified | 2026-02-13 |
Pricing
| Model | tiered |
| Free Tier | Shared infrastructure with 0.25 vCPUs and 10 QPS max- 10GB included storage
- Community support
|
| Unit Price | $49 / vCPUs |
| Source | pricing page |
Plans
| Plan | Monthly | Yearly | Includes |
|---|
| Free | $0 | $0 | 10 QPS max, 10GB storage, community support |
| Developer | $49 | $588 | 0.5 vCPUs, 15 QPS, 25GB storage, standard support |
| SaaS | $0 | $0 | Custom pricing, up to 32 vCPUs, 500GB included storage |
| Enterprise | $0 | $0 | Custom pricing, unlimited vCPUs, bottomless storage, dedicated infrastructure |
Strengths & Weaknesses
Strengths:Weaknesses:- free tier heavily rate-limited (10 QPS max)
- no on-premises or self-hosted option
- pricing scales with vCPU allocation which can get expensive at higher scales
When to Use
Best when:- need real-time analytics at scale
- streaming data ingestion from Kafka/S3/GCS
- want managed ClickHouse without ops overhead
- building AI/LLM features requiring high-throughput data access
Avoid if:- need on-premises deployment
- budget constrained (free tier limited to 10QPS)
- prefer traditional data warehousing over columnar analytics