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4worldlovers: Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.


Unify the processing of your data in batches and real-time streaming, using your preferred language: Python, SQL, Scala, Java or R.


Execute fast, distributed ANSI SQL queries for dashboarding and ad-hoc reporting. Runs faster than most data warehouses.

Perform Exploratory Data Analysis (EDA) on petabyte-scale data without having to resort to downsampling

Train machine learning algorithms on a laptop and use the same code to scale to fault-tolerant clusters of thousands of machines.

Over 2,000 contributors to the open source project from industry and academia.

Apache Spark integrates with your favorite frameworks, helping to scale them to thousands of machines.

Apache Spark is built on an advanced distributed SQL engine for large-scale data

Spark SQL adapts the execution plan at runtime, such as automatically setting the number of reducers and join algorithms.

Spark SQL works on structured tables and unstructured data such as JSON or images.