Apache Parquet
Reviews
Star rating
Rank in Columnar Databases
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 29.6% |
| Mid-Market | 48.1% |
| Enterprise | 22.2% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
Highly efficient for use with big data processing frameworks
“It stores data in columnar storage which is highly efficient for analytical queries and also supports compression algorithms. It also has cross platform compatibility which makes it easy to integrate into existing data processing pipelines.”
Apache Parquet forThe Modern Data Storage Format
“Compatibility is the best about the apache parquet, it is designed for the compatibility within a wide range of data processing of the frameworks and tools like apache spark, apache hive and apache impala and other tools that are helping in making its a one of the best choice”
Apache parquet for faster execution
“compression is the best fature of apache parquet as it delivers various compression techniques to reduce storage space and improve read performance. It also supports multiple compression algorithms”