ParquetDB software for developer and beginners

ParquetDB coding apps information

Name	ParquetDB
Category Name	Database management software
Release Date	October 11, 2024
LTS Version	0.0.11
License	0
Official Website	https://parquet.apache.org/
Supported OS	Windows, MAC, LINUX

ParquetDB overview

ParquetDB is a specialized data management tool designed for fast and efficient handling of structured and semi-structured data, focusing on large datasets typically used in analytical queries. Built on Apache Parquet, a columnar storage format, ParquetDB provides several advanced features like schema preservation, efficient encoding, and support for complex data structures. This approach allows for high compression, fast querying, and predicate pushdown, which helps streamline data processing workflows, particularly in machine learning and big data contexts.

ParquetDB requirement

Software Requirements:- Parquet: Compatible with Spark, Hadoop, and AWS Redshift; runs on Windows, Linux, and macOS with Apache Arrow and SQL tools like Hive. Delta Lake: Needs Spark (Databricks, AWS S3) for ACID transactions; runs on various OSes, requires Spark 3.0+. ORC: Works with Hadoop, Hive, Presto, and supports cross-platform, requiring compression libraries (e.g., Snappy). Hardware Requirements:- Memory: 8–16 GB minimum; 32–64 GB+ for larger data loads. Storage: SSDs preferred; 500 GB minimum, 1 TB+ for data lakes. CPU: Multi-core (4+) for parallelism; fast network (1 Gbps+) ideal.