Compare TiDB Cloud vs. Tiger Data in 2026

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Description

A cloud-native distributed HTAP database designed for seamless scaling and immediate analytics as a fully managed service, featuring a serverless tier that allows for the rapid deployment of the HTAP database within seconds. Scale transparently and elastically to hundreds of nodes for essential workloads without needing to modify your business logic. Leverage your existing SQL knowledge while preserving your relational structure and global ACID transactions, effortlessly managing hybrid workloads. The system comes with a powerful built-in analytics engine that enables operational data analysis without the requirement for ETL processes. Expand to hundreds of nodes while ensuring ACID compliance, all without the hassle of sharding or downtime interruptions. Data accuracy is upheld even with simultaneous updates to the same data source, making it reliable for high-demand environments. TiDB’s MySQL compatibility enhances productivity and accelerates your applications' time-to-market, while also facilitating the easy migration of data from current MySQL environments without necessitating code rewrites. This innovative solution streamlines your database management, allowing teams to focus on development rather than infrastructure concerns.

Description

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.