It is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
Apache Parquet is a tool in the Databases category of a tech stack.
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What are some alternatives to Apache Parquet?
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
Hadoop, Java, Apache Impala, Apache Thrift, Apache Hive and 6 more are some of the popular tools that integrate with Apache Parquet. Here's a list of all 11 tools that integrate with Apache Parquet.
Discover why developers choose Apache Parquet. Read real-world technical decisions and stack choices from the StackShare community.Showing 1 of 2 discussions.