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Pig
Pig

37
50
+ 1
4
Pilosa
Pilosa

0
5
+ 1
0
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Pig vs Pilosa: What are the differences?

Pig: Platform for analyzing large data sets. 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. ; Pilosa: Open source, distributed bitmap index in Go. Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.

Pig and Pilosa can be categorized as "Big Data" tools.

Pig and Pilosa are both open source tools. Pilosa with 1.83K GitHub stars and 149 forks on GitHub appears to be more popular than Pig with 583 GitHub stars and 449 GitHub forks.

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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.

What is Pilosa?

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.
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          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.
          Amazon Athena
          Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
          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.
          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.
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