--- title: Apache Parquet Reviews meta_title: 'Apache Parquet Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 27 reviews by the users' company size, role or industry to find out how Apache Parquet works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 27 scale: '5' date_modified: '2026-08-07' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # Apache Parquet Reviews **Vendor:** The Apache Software Foundation **Category:** [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Average Rating:** 4.3/5.0 **Total Reviews:** 27 ## About Apache Parquet Apache Parquet 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 Reviews ### 1. A Game-Changer for Data Analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Jasmine A. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** September 05, 2023 **What do you like best about Apache Parquet?** Apache Parquet has proven to be an invaluable tool in my data analytics toolbox. Its efficient columnar storage, cross-platform compatibility, schema evolution support, and performance optimization features have significantly improved my data processing tasks. It has not only enhanced my productivity but has also reduced infrastructure costs. I highly recommend Apache Parquet to anyone dealing with large datasets and seeking a robust, performance-driven storage solution.Apache Parquet has become an essential part of my data analytics toolkit, and I look forward to continued innovation and development in this fantastic open-source project. Kudos to the Parquet development team for creating such a powerful and user-friendly data storage format! **What do you dislike about Apache Parquet?** While Parquet does support schema evolution, it does add some complexity to the process, especially when dealing with complex schema changes. Schema evolution can require careful planning and management to ensure data consistency and query compatibility. **What problems is Apache Parquet solving and how is that benefiting you?** Apache Parquet for a wide range of purposes within the realm of data analytics, benefiting from its columnar storage, performance optimization, cross-platform compatibility, and support for evolving data schemas. It is a valuable asset for data analytics professionals aiming to unlock insights from large and complex datasets efficiently. ### 2. Best Big Data Manager **Rating:** 4.0/5.0 stars **Reviewed by:** Mayur D. | Mid-Market (51-1000 emp.) **Reviewed Date:** September 14, 2023 **What do you like best about Apache Parquet?** Best thing about Apache Parquet is that it is solving the storage requirements very efficiently. As far as I have experience it reduces the storage requirement by one third of data storage. And the parquet format base support might replace hadoop in future. **What do you dislike about Apache Parquet?** For now I don't specifically find anything as downside as I have just started exploring this now. But maybe in future I might have some suggestions on some features of this. **What problems is Apache Parquet solving and how is that benefiting you?** This will surely solve the problem which we face with hadoop. That is slowness in data retrival. And another is, as it supports Parquet file format so it can be easily used as replacement for various data lake storages. ### 3. Apache parquet for faster execution **Rating:** 4.0/5.0 stars **Reviewed by:** Nitish K. | Big Data Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** September 20, 2023 **What do you like best about Apache Parquet?** It is mostly useful for storing large amount of data that is used for bigdata analytics. Apache Parquet reduces IO operations, it is better compared to other tools **What do you dislike about Apache Parquet?** More complex to setup and maintain compared to rdbms like mysql **What problems is Apache Parquet solving and how is that benefiting you?** Parqued stores the data into the columns so the processing of the data is faster than any other traditional big data storage tools ### 4. It's a best framework for development. Simple and easy implementation **Rating:** 4.0/5.0 stars **Reviewed by:** Ranjan D. | senior software engineer(network engineeering), Mid-Market (51-1000 emp.) **Reviewed Date:** September 04, 2023 **What do you like best about Apache Parquet?** Data compression and storage Storage for large amount of data and it's retrieval **What do you dislike about Apache Parquet?** Does not support json which is widely used for data exchange and transfer for cross platform and web development data exchange **What problems is Apache Parquet solving and how is that benefiting you?** Currently it's fine and need to see various data storage application as well ### 5. I prefer HBase over Parquet. **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 19, 2023 **What do you like best about Apache Parquet?** As it is free and open source so we use this and there are also some advantages of Apache parquet. Also it consumes very less space compared to its competitives. **What do you dislike about Apache Parquet?** As it is free and open source but still HBase is more popular and we in our organisation are using HBase. I am not criticizing but we people go for popularity and easa of usability. **What problems is Apache Parquet solving and how is that benefiting you?** We all know that it is a columnar file format and it is very high performance and efficient and also it comesums very less space and we mainly use it in big data ### 6. Apache Parquet : The Scalable Data Lake Architecture **Rating:** 4.0/5.0 stars **Reviewed by:** harshal s. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 16, 2023 **What do you like best about Apache Parquet?** Faster execution of the query.Best compression technics which will help to reduce the storage. **What do you dislike about Apache Parquet?** As abatch processing system its not ideal for scenarios where we have to need real time updates. **What problems is Apache Parquet solving and how is that benefiting you?** We can store the large number of historical data. ### 7. Revolutionary Columnar Storage **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2023 **What do you like best about Apache Parquet?** Performance and cross-platform compatible **What do you dislike about Apache Parquet?** Learning curve is quite steep, complexity is high **What problems is Apache Parquet solving and how is that benefiting you?** For big data analytics, and efficient storage of fata ### 8. An efficient way to store columnar data **Rating:** 4.0/5.0 stars **Reviewed by:** Anuththara R. | Business Analyst Intern, Mid-Market (51-1000 emp.) **Reviewed Date:** June 19, 2019 **What do you like best about Apache Parquet?** I love the way it is created to store columnar data. The best thing i like most is that it is built to support very efficient compression and encoding schemes and can be used by anyone. And this is very much helpful in Big Data Analysis. **What do you dislike about Apache Parquet?** It was a bit hard to learn by myself but the Apache parquet site provides all the configurations in step by step procedures. So that was not a big issue with me. So honestly there is not much I dislike about it. **Recommendations to others considering Apache Parquet:** I would definitely recommend apache prequet to anyone if you are using columnar data processing in any project that you are working **What problems is Apache Parquet solving and how is that benefiting you?** In the hadoop project system that i have been i had to use compressed columnar data and there for the data processing frameworks Apache parquet helped me alot and made my work easier. ### 9. Pretty good software for large datasets **Rating:** 3.5/5.0 stars **Reviewed by:** Reeham N. | Lead Data Scientist/Analytics Manager, Investment Banking, Enterprise (> 1000 emp.) **Reviewed Date:** June 27, 2019 **What do you like best about Apache Parquet?** Certain times with various large datasets its difficult to process during an etl pipeline for hadoop. This makes it easier since connectivity to other platforms with parquet files is easier to command. It makes the data load easier to handle than json or csv. **What do you dislike about Apache Parquet?** There needs to be more schemas available for different business solutions. **Recommendations to others considering Apache Parquet:** Think about how your data looks like before committing as schemas are limited in growth. **What problems is Apache Parquet solving and how is that benefiting you?** Various types of load and compression as well as data loading within hadoop. ### 10. A great format for columnar data **Rating:** 3.5/5.0 stars **Reviewed by:** Jake B. | System Project Manager, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** March 18, 2019 **What do you like best about Apache Parquet?** I love how easy it is to use to store columnar data. Once you learn the details, it makes Hadoop-use a breeze. Column-store data has many benefits, and Parquet is such a help. **What do you dislike about Apache Parquet?** There is definitely a learning curve with the environment, but it is minimal. There honestly is not much I dislike about it. **Recommendations to others considering Apache Parquet:** I would definitely recommend Apache Parquet if you are considering using columnar-store data! **What problems is Apache Parquet solving and how is that benefiting you?** I had to gather raw data and consolidate it in a way to run statistical analysis and machine learning on it. Apache Parquet made my job a lot easier. This data analysis provided a huge step in the completion of the project. ### 11. Great **Rating:** 3.5/5.0 stars **Reviewed by:** Miah S. | Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** June 19, 2019 **What do you like best about Apache Parquet?** Easy it is to use. Column-store data has many benefits. **What do you dislike about Apache Parquet?** Learning curve. It took a while to figure it out, but once I did it was great. **Recommendations to others considering Apache Parquet:** Stick through learning to use it. It’s great! **What problems is Apache Parquet solving and how is that benefiting you?** I would definitely recommend Apache Parquet if you are considering using columnar-store data! ### 12. Parquet for data storage **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2019 **What do you like best about Apache Parquet?** Works with any table/data format we use. **What do you dislike about Apache Parquet?** Can be difficult to load from s3 when files get too big **What problems is Apache Parquet solving and how is that benefiting you?** Saving training data for our production models ### 13. Best storage format for big data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2019 **What do you like best about Apache Parquet?** Parquet is parallel ready, and columnar in nature **What do you dislike about Apache Parquet?** libraries supporting parquet can be bit hard to find **What problems is Apache Parquet solving and how is that benefiting you?** Storing tbs of data ### 14. Apache Parquet **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** June 01, 2018 **What do you like best about Apache Parquet?** The way the parquet-format project contain specifications format and properly formatted. **What do you dislike about Apache Parquet?** The complex nature of the database for a simple project. **What problems is Apache Parquet solving and how is that benefiting you?** Building Java resources that actually work. - [View Apache Parquet pricing details and edition comparison](https://www.g2.com/products/apache-parquet/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-13+02%3A20%3A13+-0500&secure%5Bsession_id%5D=8d257442-9207-413b-af4a-2f95694a2ed0&secure%5Btoken%5D=9be7f550b5f1f84f3b35411171521bfcb37368a132855ea24da796ac0ceca97d&format=llm_user) ## Apache Parquet Features **Storage** - Data Model - Data Types **Availability** - Auto Sharding - Auto Recovery - Data Replication **Performance** - Integrated Cache **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Support** - Multi-Model - Operating Systems ## Top Apache Parquet Alternatives - [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - 4.5/5.0 (22 reviews) - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - 4.2/5.0 (59 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (714 reviews)