Apache Parquet Java
The main features of apache/parquet-java are: Data Storage Systems.
Open-source alternatives to apache/parquet-java include: apache/arrow — Arrow is a cross-language development platform for in-memory data. It provides a standardized, language-independent… apache/druid — Apache Druid is a real-time analytics database and distributed columnar time-series store designed for sub-second… apache/hudi — Apache Hudi is an open-source table format that brings ACID transactions, incremental processing, and multi-modal… apache/iceberg — Iceberg is an open table format and big data table manager designed for huge analytic datasets in cloud storage. It… apache/ignite — Ignite is a distributed in-memory data grid and compute platform. It functions as a distributed SQL database and… alluxio/alluxio — Alluxio is a virtual distributed file system and data orchestration layer that serves as a high-performance caching…
Arrow is a cross-language development platform for in-memory data. It provides a standardized, language-independent columnar memory format designed to accelerate analytical operations and improve memory efficiency on modern computing hardware. By utilizing a schema-driven approach, the framework enables the efficient organization of both flat and nested data structures. The project functions as an analytical data processing engine that facilitates high-performance computation directly on memory-resident datasets. It distinguishes itself through a zero-copy architecture, which allows multiple
Apache Druid is a real-time analytics database and distributed columnar time-series store designed for sub-second analytical queries. It functions as a data platform featuring a distributed SQL query engine and a real-time data ingestion system for moving historical and streaming data from external sources. The system is distinguished by its ability to provide low-latency analytics under high concurrency to power operational dashboards. It implements a Kerberos-secured environment for user authentication and employs a shared-nothing cluster architecture to enable horizontal scaling. The plat
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
Alluxio is a virtual distributed file system and data orchestration layer that serves as a high-performance caching layer between cloud storage and compute clusters. It acts as a distributed data cache designed to accelerate data access for large-scale analytics and machine learning workloads. The system provides a unified interface that presents multiple heterogeneous storage backends as a single coherent namespace. This allows for the unification of diverse storage systems, enabling computation engines to access data from different providers without changing application code. The project c