Awesome GitHub RepositoriesObject-Storage Persistence

Thanos is a distributed metrics query engine and monitoring scalability suite designed to provide a unified interface for aggregating data from multiple Prometheus servers and clusters. It functions as a high availability monitoring backend that eliminates single points of failure by deduplicating data from replicated instances. The system enables long-term retention by persisting time-series data to cloud-native object storage, allowing for unlimited historical archiving beyond the limits of local disks. It further optimizes this storage through a downsampling and retention manager that comp

Lance is a versioned columnar data format and storage engine designed as a multimodal AI lakehouse. It serves as a vector database storage engine and a cloud object store dataset manager, organizing images, video, audio, and embeddings into a unified format optimized for machine learning workflows. The project distinguishes itself by combining a columnar layout for structured data with a specialized blob store for large multimodal tensors. It implements a hybrid search engine that integrates vector similarity search, full-text search, and SQL analytics on a single dataset, supported by a stor

Mimir ist eine Multi-Tenant-Zeitreihendatenbank und ein verteilter Metrik-Speicher für skalierbare Telemetrie. Es dient als Prometheus-kompatibles Backend und bietet Langzeitspeicherung sowie eine skalierbare Abfrage-Engine für massive Mengen an Zeitreihendaten. Das System ist für Multi-Tenant-Observability konzipiert und isoliert Telemetriedaten sowie Ressourcenlimits für unabhängige Teams oder Organisationen innerhalb eines einzigen Clusters. Es gewährleistet hohe Verfügbarkeit und Langlebigkeit durch Sharding und Replikation von Daten über einen verteilten Cluster hinweg und nutzt Objektspeicher zur Persistenz, um externe Datenbankabhängigkeiten zu eliminieren. Das Projekt deckt weitreichende Fähigkeiten ab, einschließlich globaler Metrik-Aggregation für regionsübergreifende Analysen und verteilter Abfrageausführung mittels Parallelisierung und Caching. Es integriert zudem Observability-Tools wie föderiertes Alerting, synthetisches Monitoring und KI-gestützte Incident-Resolution-Workflows zur Beschleunigung der Fehlerbehebung. Administrative Kontrollen umfassen Tenant-Ressourcenquoten, benutzerbezogene Ressourcen-Overrides und Shuffle-Sharding für Workload-Isolierung.

Helix DB is a distributed graph database and knowledge graph platform that persists nodes and edges on object storage for durable and unlimited scaling. It operates as an ACID-compliant system, ensuring data consistency through serializable snapshot isolation during concurrent operations. The project distinguishes itself by combining a vector search engine and a property graph, utilizing hybrid vector and full-text search to locate entry points for graph traversals. It enables dynamic graph querying through a domain-specific language, allowing complex logic and recursive queries to be execute

SlateDB is a cloud-native key-value store and distributed database engine that utilizes a log-structured merge-tree architecture. It serves as a transactional storage layer designed to persist data directly to cloud object storage. The engine differentiates itself by optimizing read performance for remote storage through the use of bloom filters and multi-level block caching. It employs a single-writer multi-reader model and provides the ability to create zero-copy clones via copy-on-write checkpointing. The system supports atomic transactions, range queries, and snapshot-based concurrency c