Apache Spark vs. Presto vs. Apache Flink

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Apache Spark

Presto

Apache Flink

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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 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.

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Why do you like Apache Spark?

Pros
Why do you like Presto?

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Why do you like Apache Flink?

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Companies

221 Companies Using Apache Spark
16 Companies Using Presto
14 Companies Using Apache Flink

Integrations

Apache Spark Integrations
Presto Integrations
Apache Flink Integrations

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

  • Druid - Fast column-oriented distributed data store
  • Amazon Athena - Query S3 Using SQL
  • Impala - Real-time Query for Hadoop
  • Pig - Platform for analyzing large data sets

See all alternatives to Apache Spark



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