Tiger Cloud

Cloud-native PostgreSQL for time-series, events and analytics. Timescale gives modern engineering teams the cloud-native data infrastructure they need to power data-centric products that delight their customers – helping them build faster, scale efficiently, and spend less along the way. Timescale enables companies to unlock value from time-series data. Time-series data is relentless streams of data that’s collected at high frequency, used to understand how systems change, both in real-time and historically. Timescale powers businesses building the next wave of computing, with customers in industries spanning Internet of Things, fintech and crypto, energy and environment, smart manufacturing, transportation and more. If it works with PostgreSQL, it works with Timescale. Engineering teams scale PostgreSQL further using Timescale, with features like automatic time-based partitioning and indexing, incrementally-updated materialized views and columnar compression. All while retaining PostgreSQL features and the entire PostgreSQL ecosystem of tools, drivers, and connectors that developers know and love.