Parquet Insights

What is 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. It is designed for efficient data storage and retrieval. It excels at handling complex data types and is optimized for query performance, especially for read-heavy workloads where only specific columns are needed. Parquet is commonly used in big data processing frameworks like Spark, Hive, and Impala for storing and querying large datasets.

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What other technologies are related to Parquet?

Parquet Competitor Technologies

Avro

Avro is a row-oriented data serialization system, which can be considered a competitor since Parquet is column-oriented and both are used for storing data.

mentioned alongside Parquet in 56% (4.4k) of relevant job posts

ORC

ORC is another columnar storage format, making it a direct competitor to Parquet.

mentioned alongside Parquet in 70% (2k) of relevant job posts

CSV

CSV is a row-oriented data format, that serves as an alternative for storing data.

mentioned alongside Parquet in 9% (1.5k) of relevant job posts

JSON

JSON is a common data exchange format and alternative to store structured data

mentioned alongside Parquet in 1% (3.7k) of relevant job posts

Apache Avro

Avro is a row-oriented data serialization system, which can be considered a competitor since Parquet is column-oriented and both are used for storing data.

mentioned alongside Parquet in 23% (118) of relevant job posts

Parquet Complementary Technologies

Apache Iceberg

Iceberg is an open table format that can use Parquet as its underlying storage format. Thus, it complements Parquet.

mentioned alongside Parquet in 24% (1.7k) of relevant job posts

Delta Lake

Delta Lake is a storage layer that brings reliability to data lakes. It often utilizes Parquet as the storage format for its data, making it a complementary technology.

mentioned alongside Parquet in 10% (1.5k) of relevant job posts

Spark

Spark is a widely used processing engine that often reads and writes data in Parquet format. Hence, it complements Parquet.

mentioned alongside Parquet in 2% (6.5k) of relevant job posts