Apache Spark vs. Apache Flink vs. Pig

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Apache Spark

Apache Flink

Pig

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Description

What is Apache Spark?

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

What is Apache Flink?

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

What is Pig?

Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data. Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce.

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Why do you like Pig?

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Companies

221 Companies Using Apache Spark
14 Companies Using Apache Flink
7 Companies Using Pig

Integrations

Apache Spark Integrations
Apache Flink Integrations
Pig Integrations

What are some alternatives to Apache Spark, Apache Flink, and Pig?

  • Druid - Fast column-oriented distributed data store
  • Presto - Distributed SQL Query Engine for Big Data (by Facebook)
  • Amazon Athena - Query S3 Using SQL
  • Impala - Real-time Query for Hadoop

See all alternatives to Apache Spark



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