Tinybird
Managed ClickHouse platform to build real-time analytics APIs from streaming data.
What is Tinybird?
Tinybird is a serverless, real-time analytics backend designed for AI-native developers and software engineering teams. Operating as a fully managed ClickHouse® platform, it abstracts away complex data infrastructure tasks like handling a clickhouse memory_limit_exceeded error or setting up live pipelines. It functions as an ideal alternative to standard timescaledb setups or complex mongodb cdc pipelines by allowing teams to ingest streaming data at scale and immediately publish any SQL query as a secure, scalable REST API. Whether developers need a tinbybird api for building user-facing dashboards or implementing tinybird vs vector search capabilities, the platform removes backend boilerplate so teams can ship data products faster.
Category
Best Tinybird use cases by task, role, industry, and platform
These use cases show where Tinybird fits best, ranked by fit score before popularity or pricing.
Tinybird Pricing Plans
Compare Tinybird free options, Tinybird paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Developer from $25/mo
Per organization. Includes 0.5 vCPU, 10 QPS max, 1 thread/request max, 0.5GB memory per request, 1,000 queries per day, 10GB storage, and Slack Community support.
Per organization. Includes 0.25 vCPU (autoscaled to 0.5 vCPU on demand), 150 vCPU hours ($0.162/hour overage), 10 QPS ($0.0005/request overage), 25 GB storage ($0.058/GB overage), intra-cloud and inter-cloud data transfer fees, and Slack Community support.
Dedicated infrastructure, credit-based pricing starting at 8 vCPUs, 8 threads/request, 1TB storage, 80 QPS, dedicated support engineer, AWS Private Link, and performance/support SLAs.
Pricing updated:Jun 12, 2026
Tinybird AI Features
Tinybird Pros and Cons
Pros
- Eliminates complex data infrastructure engineering and backend boilerplate
- Extremely fast data ingestion speeds, supporting thousands of requests per second
- Seamless integration with modern CI/CD, plaintext schema files, and local runtimes
- SOC2 Type II certified and HIPAA compliant
Limitations
- Developer tier introduces overage fees for vCPU hours and additional storage
- Unlike a traditional relational database, it requires a shift to columnar database concepts