Apache Spark
The distributed analytics engine for processing terabytes.
Spark processes massive data volumes in-memory across a distributed cluster. Its APIs (DataFrame, SQL, Streaming, MLlib) cover batch, stream and machine learning. Coupled with Delta Lake, it's the foundation of modern lakehouses.
What Apache Spark brings to your project.
Typical use cases: Large-volume ETL, lakehouse, distributed ML training.
- 01
In-memory distributed processing: orders of magnitude vs Hadoop.
- 02
Python, Scala, SQL, R APIs: heterogeneous teams accommodated.
- 03
Structured Streaming for near-real-time processing.
- 04
Databricks, EMR, Dataproc: managed across three clouds.
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