Apache Hive vs Apache Spark SQL
Apache Hive: The original SQL-on-Hadoop warehouse, now mostly valued for its Metastore and Iceberg support. Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing.
key differences
- Only Apache Hive has transactions, materialized views, columnar storage, role-based access, time travel.
- Only Apache Spark SQL has in-memory, streaming ingest.
choose apache-hive for
- +Existing Hadoop data warehouses
- +Shared Metastore catalog for lakehouse engines
- +Large overnight batch SQL
best at · Warehouse, OLAP, Lakehouse
choose apache-spark-sql for
- +Lakehouse ETL and ELT
- +Batch feature engineering for ML
- +Streaming ingestion into Delta/Iceberg
- +Large-scale data cleaning and joins
best at · Lakehouse, OLAP, Streaming
Apache Hive vs Apache Spark SQL: FAQ
What is the difference between Apache Hive and Apache Spark SQL?
Apache Hive: The original SQL-on-Hadoop warehouse, now mostly valued for its Metastore and Iceberg support. Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing. Only Apache Hive has transactions, materialized views, columnar storage, role-based access, time travel. Only Apache Spark SQL has in-memory, streaming ingest.
When should I choose Apache Hive over Apache Spark SQL?
Choose Apache Hive for existing Hadoop data warehouses, shared Metastore catalog for lakehouse engines and large overnight batch SQL. Choose Apache Spark SQL for lakehouse ETL and ELT; batch feature engineering for ML; and streaming ingestion into Delta/Iceberg.
Is Apache Hive or Apache Spark SQL more popular?
Apache Spark SQL ranks #26 on the WhichDB Score (50.3/100) and Apache Hive ranks #87 (30.1/100). Popularity is not fit: check the requirements that matter for your project.
Are Apache Hive and Apache Spark SQL open source?
Yes. Apache Hive is open source. License: Apache License 2.0. Yes. Apache Spark SQL is open source. License: Apache License 2.0.