Apache Spark
MLOps & Infrastructure
Overview
Apache Spark is an open-source unified analytics engine for large-scale data processing that provides batch processing, streaming, SQL queries, machine learning via MLlib, and graph processing. It supports distributed computing across clusters, in-memory processing for speed, and integrates with Hadoop, cloud storage, and various data sources. Spark is the foundation for many enterprise data platforms.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises
- Regions served
- Global
- Categories
- Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, Self-hosted / on-premises, Predictive / classical ML, Horizontal platform
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- spark.apache.org
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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