Apache Spark vs. Impala vs. Pachyderm

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Apache Spark

Impala

Pachyderm

Favorites

57

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8

Favorites

6

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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 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.

What is Pachyderm?

Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

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Why do you like Apache Spark?

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Why do you like Impala?

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Why do you like Pachyderm?

Companies

218 Companies Using Apache Spark
12 Companies Using Impala
1 Companies Using Pachyderm

Integrations

Apache Spark Integrations
Impala Integrations
Pachyderm Integrations


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