Tiger Cloud

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Tiger Cloud is a cloud-native platform for real-time analytics and AI, using an enhanced PostgreSQL to manage and analyze large datasets efficiently.

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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.

Tiger Cloud is a cloud-native platform designed to support real-time analytics and AI workloads. It is powered by Tiger Postgres, an enhanced version of PostgreSQL that offers significant performance improvements without altering the core database. This platform is ideal for applications requiring transactional, analytical, and agentic workloads, providing a scalable and reliable environment for data management.

One of the key features of Tiger Cloud is its ability to integrate with various data sources, including Amazon S3, allowing for seamless data synchronization and transformation. This integration enables users to leverage structured and unstructured data, simplifying complex data pipelines and enhancing real-time analytics capabilities. Tiger Cloud also supports advanced features such as horizontal scaling, high-capacity data compression, and hybrid row-columnar engines, making it suitable for large-scale data-intensive applications.

By leveraging Tiger Cloud, users can efficiently manage and analyze large datasets while maintaining low costs. The platform provides a user-friendly interface for querying and interacting with data, making it accessible to developers and data analysts alike. Tiger Cloud's capabilities are designed to support modern applications that require fast and intelligent data processing, making it a robust solution for organizations seeking to enhance their data-driven operations.

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Categories: Software DevelopmentCloud Platform as a Service (PaaS) Software

Website: timescale.com

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