Awesome GitHub RepositoriesData Lake Acceleration

ClickHouse is a high-performance, columnar analytical database designed for real-time query execution and large-scale data aggregation. It functions as a distributed data warehouse capable of processing petabytes of information, while also providing an embedded engine that integrates directly into applications for native query capabilities without external dependencies. The system is built to handle high-throughput ingestion and complex analytical workloads, delivering millisecond-level latency for interactive dashboards and operational monitoring. The platform distinguishes itself through ad

Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

Doris is a distributed SQL data warehouse designed for high-performance analytical workloads and real-time data processing. It functions as a unified platform that integrates traditional relational warehousing with lakehouse query capabilities, allowing users to execute analytical operations directly against external data lakes without requiring data migration. The system distinguishes itself through a shared-nothing, massively parallel processing architecture that utilizes vectorized query execution and columnar storage to maintain sub-second latency. It supports dynamic schema evolution, en

Apache Hudi is an open-source table format that brings ACID transactions, incremental processing, and multi-modal indexing to data lakes. It provides atomic commits with snapshot isolation, rollback, and optimistic concurrency control for reliable data lake operations, while supporting upserts, record-level updates, and deletions in large analytical datasets. The project distinguishes itself through a timeline-based architecture that coordinates all write operations, enabling features like time-travel querying, incremental change streaming, and multi-modal query views that include snapshot, i

lakeFS ist ein Data-Lake-Versionierungssystem, das Git-ähnliche Branching- und Commit-Funktionen für große Datensätze in Objektspeichern bietet. Es fungiert als Versionskontrollschicht und ermöglicht die Erstellung unveränderlicher Snapshots, atomarer Commits und Zero-Copy-Branching, um isolierte Umgebungen für Datenexperimente zu schaffen, ohne physische Dateien zu duplizieren. Das System dient als S3-kompatibles Storage-Gateway und Iceberg-REST-Katalog, wodurch Standard-Cloud-Storage-Protokolle und kompatible Clients versionierte Tabellen verwalten können. Es fungiert als Data-Quality-Gatekeeper, indem es ein eventgesteuertes Hook-System nutzt, um Datensätze gegen Governance-Richtlinien zu validieren, bevor Änderungen in die Produktion gemergt werden. Die Plattform deckt umfassende Funktionen für Data-Governance ab, einschließlich Pull-Request-Kollaboration, rollenbasierter Zugriffskontrolle und Data-Lineage-Tracking. Sie bietet Integrationen für Workflow-Orchestrierung, Machine-Learning-Pipelines und verschiedene Big-Data-Compute-Engines und unterstützt Multi-Cloud-Storage-Konnektivität sowie Identitätssynchronisation via SSO und SCIM. Die Software kann mittels Binärdateien, Containern oder Helm-Charts für die Bereitstellung auf Kubernetes installiert werden.

MiniOB is an open-source educational relational database kernel designed for learning the internals of database systems. It implements a dual-engine storage architecture combining B+ Tree and LSM-Tree, supports SQL parsing and query execution, and provides transactional processing with multi-version concurrency control. The system communicates with clients using the MySQL wire protocol and includes a vector database extension for storing and querying high-dimensional vectors. The project distinguishes itself through its comprehensive coverage of core database concepts in a single, learnable c