Apache Spark vs. Presto vs. 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 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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Pros

Why do developers choose Apache Spark?
Why do you like Apache Spark?

Why do developers choose Presto?
Why do you like Presto?

Why do developers choose Pig?
Why do you like Pig?

Cons

What are the cons of using Apache Spark?
No Cons submitted yet for Apache Spark
Downsides of Apache Spark?

What are the cons of using Presto?
No Cons submitted yet for Presto
Downsides of Presto?

What are the cons of using Pig?
No Cons submitted yet for Pig
Downsides of Pig?

Companies

What companies use Apache Spark?
225 companies on StackShare use Apache Spark
What companies use Presto?
17 companies on StackShare use Presto
What companies use Pig?
7 companies on StackShare use Pig

Integrations

What tools integrate with Apache Spark?
11 tools on StackShare integrate with Apache Spark
What tools integrate with Presto?
16 tools on StackShare integrate with Presto
What tools integrate with Pig?
1 tools on StackShare integrate with Pig

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

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

See all alternatives to Apache Spark



Interest Over Time


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