Run Tinybird on your own infrastructure

Tinybird has introduced a beta version of Tinybird Self-Managed, a deployable version that allows users to run the platform within their own cloud environments, providing complete control over their analytical backend while maintaining the platform's renowned speed, scalability, and ease of use. This version can currently be deployed on AWS infrastructure, with support for GCP and Azure forthcoming, and is designed to integrate with existing private data sources while allowing users to manage performance, scaling, and upgrades independently. Tinybird Self-Managed addresses the needs of customers requiring data sovereignty, deeper integration, infrastructure optimization, cost efficiency, and operational control, offering an OLAP database with ingestion APIs, an API gateway, observability, and backpressure mechanisms. It runs as a containerized deployment using Kubernetes for a straightforward yet scalable setup, with plans to expand its capabilities to include high availability, enhanced monitoring, and automated upgrades. While free during the beta phase, users must consider infrastructure costs, and the platform is particularly suitable for teams needing self-hosted solutions to meet regulatory requirements or specific business needs.