Apache Spark vs. Presto vs. Impala

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Apache Spark

Presto

Impala

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8

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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 Impala?

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

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Companies

221 Companies Using Apache Spark
17 Companies Using Presto
12 Companies Using Impala

Integrations

Apache Spark Integrations
Presto Integrations
Impala Integrations

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

  • Apache Flink - Fast and reliable large-scale data processing engine
  • Druid - Fast column-oriented distributed data store
  • Amazon Athena - Query S3 Using SQL
  • Pig - Platform for analyzing large data sets

See all alternatives to Apache Spark



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