Turn raw data into real-time APIs, instantly.
What is Tinybird?
Tinybird is a real-time data platform developed by a team of engineers with deep expertise in data infrastructure, originally founded in Madrid. The core technical architecture is built around ClickHouse, a high-performance columnar database, which Tinybird has extended with a serverless API layer and a suite of development tools. This enables users to ingest large volumes of streaming data—billions of rows—and instantly serve low-latency analytical queries via auto-generated, scalable HTTP APIs. Key capabilities include real-time ingestion from sources like Kafka, sub-second SQL query performance on massive datasets, and the ability to publish parameterized API endpoints in minutes without managing infrastructure. It primarily targets data engineers and application developers building customer-facing analytics, operational dashboards, and real-time features like personalization or fraud detection. By simplifying the path from raw data to production APIs, it significantly reduces development time for data applications. For teams considering similar real-time analytics solutions, comparing capabilities with tools like Apache Druid can be insightful (https://ai-plaza.io/ai/apache-druid). According to an independent analysis by Gartner, the demand for platforms that operationalize real-time analytics continues to grow as businesses seek immediate insights from streaming data sources.
Key Findings
- Real Time: Processes massive data streams instantly for immediate actionable insights and decisions.
- Event Analytics: Tracks user behavior and system events to uncover trends and optimize performance.
- Cost Efficiency: Reduces infrastructure expenses by scaling resources dynamically based on actual usage.
- Developer Experience: Provides intuitive tools and APIs that simplify building and deploying data pipelines.
- Scalable Ingestion: Handles billions of events daily without compromising on speed or reliability.
- SQL Powered: Leverages familiar SQL syntax for complex queries making data analysis accessible.
- Low Latency: Delivers query results in milliseconds ensuring fast feedback for applications and users.
- Managed Infrastructure: Eliminates operational overhead by handling server maintenance updates and security patches.
- Flexible Deployment: Offers both cloud hosted and private deployment options for data control.
- Live Dashboards: Creates interactive visualizations that update automatically with new incoming data streams.
Who is it for?
Project Manager
- Project timeline tracking
- Risk identification and reporting
- Stakeholder communication
- Resource allocation optimization
- Cross-functional coordination
Marketing Manager
- Campaign performance analysis
- Customer segmentation
- Marketing attribution modeling
- Budget forecasting
- Competitor analysis
Startup Founder
- Real-time user analytics
- Investor reporting
- Product-market fit validation
- Operational cost monitoring
- Scalable data infrastructure
Pricing
Free @ $0/mo
- Shared infrastructure
- 0.25 vCPUs
- 1 thread/request
- 10 QPS max
- 10GB included storage
- Community support
Developer @ $49/mo
- Shared infrastructure
- 0.5 vCPUs
- 1 thread/request
- 15 QPS
- 25 GB included storage
- Vertical scaling
SaaS @ Custom/mo
- Shared infrastructure
- Up to 32 vCPUs
- 4 to 16 threads/request
- Starting at 55 QPS
- 500GB included storage
- Vertical scaling
Enterprise @ Custom/mo
- Dedicated infrastructure
- Unlimited vCPUs
- Custom threads/request
- Starting at 80 QPS
- Bottomless storage
- Vertical and horizontal scaling