Data Processing Engine
Unified analytics engine for large-scale data processing and machine learning.
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Apache Spark is an open-source unified analytics engine for large-scale data processing. It provides high-performance in-memory computing capabilities for batch processing, real-time streaming, machine learning, and graph processing workloads across distributed clusters.
Unique Value Proposition
Apache Spark delivers lightning-fast processing speeds through in-memory computing and optimized execution, processing data up to 100x faster than traditional Hadoop MapReduce. Its unified engine supports diverse workloads from ETL to machine learning in a single framework with APIs in Java, Scala, Python, and R.
Categories
Industries
Company Size
100 - 50000 employees
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Pricing Model
open_source
Implementation Time
5 weeks (30 days)
Deployment Options
Support Hours
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