Apache Spark vs. Presto vs. Pig

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Apache Spark

Presto

Pig

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5

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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 Presto?

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.

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 Presto?

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Why do you like Pig?

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Companies

221 Companies Using Apache Spark
16 Companies Using Presto
7 Companies Using Pig

Integrations

Apache Spark Integrations
Presto Integrations
Pig Integrations

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

  • Apache Flink - Fast and reliable large-scale data processing engine
  • Druid - Fast column-oriented distributed data store
  • Amazon Athena - Query S3 Using SQL
  • Impala - Real-time Query for Hadoop

See all alternatives to Apache Spark



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