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Apache Parquet description
Apache Parquet is a free, open-source method for storing large amounts of data. It's like a super-organized spreadsheet that arranges data in columns, making it faster to find and analyze specific information without having to sift through everything. This efficient design saves storage space and speeds up data processing for analytics and reporting.
Who is Apache Parquet best for
Apache Parquet is a free, open-source columnar storage format ideal for large datasets. Users praise its efficient compression and encoding, enabling faster analytics queries. However, some find the setup complex and less suitable for small datasets or frequently changing schemas. Best for data engineers and scientists in medium to large enterprises.
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Ideal for medium to large enterprises (101+ employees).
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Particularly well-suited for the software, IT, and telecommunications industry.
Apache Parquet features
Supported Apache Parquet is fundamentally columnar, organizing data by columns instead of rows. |
Supported Parquet employs various compression schemes to optimize storage and retrieval speed. |
Supported Parquet utilizes efficient encoding methods for diverse data types, enhancing performance. |
Supported Apache Parquet is open source, enabling flexibility and integration in many systems. |
Apache Parquet reviews
We've summarised 27 Apache Parquet reviews (Apache Parquet G2 reviews) and summarised the main points below.
- Excellent compression and encoding schemes.
- Efficient columnar storage for faster analytics queries.
- Cross-platform compatibility and integration with various data processing frameworks (e.g., Spark, Hive).
- Schema evolution support.
- Predicate pushdown for optimized query performance.
- Not suitable for frequently changing schemas.
- Steep learning curve and complex setup.
- Write performance can be improved.
- Limited support for real-time data ingestion.
- Inefficient for small datasets and complex data types.
Apache Parquet alternatives
Apache Parquet FAQ
Apache Parquet is an open-source columnar storage format optimized for data analytics. It provides efficient data compression and encoding schemes, enabling faster query processing and reduced storage costs for large datasets. Parquet is widely compatible with various data processing frameworks.
What is Apache Parquet and what does Apache Parquet do?
Apache Parquet is an open-source columnar storage format optimized for data analytics. It provides efficient data compression and encoding schemes, enabling faster query processing and reduced storage costs for large datasets. Parquet is widely compatible with various data processing frameworks.
Apache Parquet integrates seamlessly with various data processing frameworks like Apache Spark, Apache Hive, and Impala, enabling efficient data storage and analysis. It also supports various programming languages like Java, Python, and C++. This broad compatibility makes it a versatile choice for big data workflows.
How does Apache Parquet integrate with other tools?
Apache Parquet integrates seamlessly with various data processing frameworks like Apache Spark, Apache Hive, and Impala, enabling efficient data storage and analysis. It also supports various programming languages like Java, Python, and C++. This broad compatibility makes it a versatile choice for big data workflows.
Top Apache Parquet alternatives include ClickHouse, Apache Arrow, and Red Hat Ceph Storage. ClickHouse excels in fast analytics for large datasets, while Apache Arrow offers a standard for in-memory data processing. Red Hat Ceph provides scalable and reliable software-defined storage. Other options include Apache Flume and SAS OLAP Server.
What the main competitors of Apache Parquet?
Top Apache Parquet alternatives include ClickHouse, Apache Arrow, and Red Hat Ceph Storage. ClickHouse excels in fast analytics for large datasets, while Apache Arrow offers a standard for in-memory data processing. Red Hat Ceph provides scalable and reliable software-defined storage. Other options include Apache Flume and SAS OLAP Server.
Yes, Apache Parquet is a legitimate and widely used open-source data storage format. It's known for its efficient columnar storage, which is safe and optimized for big data analytics, offering excellent compression and encoding schemes for faster query performance.
Is Apache Parquet legit?
Yes, Apache Parquet is a legitimate and widely used open-source data storage format. It's known for its efficient columnar storage, which is safe and optimized for big data analytics, offering excellent compression and encoding schemes for faster query performance.
Apache Parquet is open-source software and is free to use. There are no licensing fees or subscription costs associated with the product itself.
How much does Apache Parquet cost?
Apache Parquet is open-source software and is free to use. There are no licensing fees or subscription costs associated with the product itself.
There is no customer service information available for Apache Parquet. As an open-source project, support typically comes from community forums and online resources.
Is Apache Parquet customer service good?
There is no customer service information available for Apache Parquet. As an open-source project, support typically comes from community forums and online resources.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.