Tinybird

Tinybird delivers the tools needed to turn vast amounts of timely, raw data into fast, secure, and reliable analytical APIs. Its platform is designed for those who want to analyze real-time data at scale, providing instant access to insights through intuitive API endpoints. Unlike traditional analytics solutions, Tinybird offers a managed backend powered by ClickHouse, allowing users to spend less time maintaining data infrastructure and more time building value-driven applications.

From streaming data ingestion capabilities to a development environment integrated with AI, Tinybird enhances productivity for teams adopting modern data engineering practices. Its APIs are ready for immediate deployment, and advanced control over data pipelines is achieved entirely through code, supporting collaborative and versioned workflows. Security and compliance standards meet the needs of organizations handling sensitive data, demonstrated by its SOC2 and HIPAA certifications.

Tinybird suits organizations that rely on rapid metrics or event data, removing the bottlenecks typically associated with scaling analytics systems. Its comprehensive documentation and approachable interface make it accessible to both newcomers and teams experienced in large-scale data work. Pricing flexibility ensures it can fit projects ranging from early prototypes to full-scale, mission-critical systems.

Tinybird is built for developers, data engineers, and technical leads who need a robust way to turn streaming or high-volume data into low-latency analytics without managing their own data infrastructure. It is especially relevant for SaaS product teams, e-commerce, fintech, and gaming companies that require real-time analytics for customer insights, personalization, risk or fraud analysis, and operational dashboards.

This platform is ideal for technical teams in startups and growth-stage companies looking to offer analytics features within their products or to provide real-time data visibility to operations and business stakeholders. Teams who work with event streams or rapidly changing datasets can use Tinybird to build and iterate on analytics endpoints quickly, handle huge data influxes, and reduce time-to-market for data-driven features.

Healthcare and environmental monitoring organizations using streaming data benefit from Tinybird’s focus on security and compliance. In all cases, it appeals to those who value rapid deployment, scalability without large engineering overhead, and flexibility in defining data models and querying APIs.