High-performance datastore optimized for time series and tick data storage and retrieval.
Arctic is a high-performance datastore specifically designed for storing and retrieving time series and tick data. It provides optimized storage solutions for financial applications and analytical workloads where efficient handling of chronological data is essential.
Quantitative analysts, financial data engineers, and developers working with time series data who need performant storage solutions for market data and analytical applications.
Developers choose Arctic for its specialized focus on time series and tick data, offering performance-optimized storage that outperforms general-purpose databases for chronological data workloads.
High performance datastore for time series and tick data
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Optimized for fast read/write operations on chronological data, making it ideal for financial and analytical workloads where speed is critical.
Efficiently handles high-frequency financial market data with specialized data structures, supporting quantitative trading and research.
Built to manage large volumes of timestamped data, enabling scalability for big data applications in finance and beyond.
Tailored specifically for financial applications, providing tools and optimizations that outperform general-purpose databases for market data.
Development has migrated to ArcticDB, leaving this repository in maintenance mode with no new features or bug fixes, as stated in the README.
Users are encouraged to move to ArcticDB for ongoing support, which adds complexity and potential disruption for existing deployments.
Setup and usage information is split between repositories (e.g., README-arctic.md), making it harder to find current and comprehensive guides.