2 dépôts
Awesome GitHub RepositoriesAnalytics Engines
Systems designed for high-performance aggregation and querying of large-scale datasets.
Distinguishing note: Focuses on columnar storage for performance metrics rather than general-purpose database management.
Explore 2 awesome GitHub repositories matching data & databases · Analytics Engines. Refine with filters or upvote what's useful.
Awesome Analytics Engines GitHub Repositories
Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
- getsentry/sentry
getsentry/sentry
44,108Voir sur GitHubThis project is a comprehensive software observability suite and application performance monitoring platform designed to track runtime errors, performance bottlenecks, and system health. It functions as a centralized diagnostic service that aggregates and categorizes exceptions, providing the infrastructure necessary to visualize complex execution paths across distributed systems and microservices. The platform distinguishes itself through a high-throughput distributed event ingestion pipeline and a columnar storage analytics engine that enables rapid aggregation of large-scale performance me
Provides a columnar storage engine for rapid aggregation and filtering of large-scale performance metrics.
Pythonapmcrash-reportingcrash-reports - taosdata/tdengine
taosdata/TDengine
24,734Voir sur GitHubTDengine is a distributed time-series database designed for the high-speed ingestion, compression, and retrieval of timestamped metrics and sensor data. It functions as a SQL-compatible analytics engine, allowing users to perform complex operations on massive volumes of time-ordered information using standard relational syntax. The platform is built to serve as a backend foundation for industrial IoT environments, managing real-time data streams and device metadata through a cluster-based architecture. The system distinguishes itself through a distributed sharding architecture that uses consi
Provides a SQL-compatible query layer for performing complex operations on massive volumes of time-ordered data.
Cbigdatacloud-nativecluster
