Home
Application and Data
Data Stores
Big Data Tools

Pig vs Pilosa

Need advice about which tool to choose?Ask the StackShare community!

Pig
59
111
+ 1
5
Pilosa
1
11
+ 1
0
Add tool

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.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Pig
Pros of Pilosa
  • 2
    Finer-grained control on parallelization
  • 1
    Proven at Petabyte scale
  • 1
    Open-source
  • 1
    Join optimizations for highly skewed data
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    - No public GitHub repository available -

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Pig and Pilosa as a desired skillset
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Staff Software Engineer, Ads Serving Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    guidanceInfraDream+9
    Manager II, Engineering - Big Data Query Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    DreamTrinoYarn+7
    Manager II, Engineering - Big Data Query Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    DreamTrinoYarn+7
    Manager II, Engineering - Big Data Query Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    DreamTrinoYarn+7
    What companies use Pig?
    What companies use Pilosa?
      No companies found
      See which teams inside your own company are using Pig or Pilosa.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Pig?
      What tools integrate with Pilosa?
      What are some alternatives to Pig and Pilosa?
      Capybara
      Capybara helps you test web applications by simulating how a real user would interact with your app. It is agnostic about the driver running your tests and comes with Rack::Test and Selenium support built in. WebKit is supported through an external gem.
      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.
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      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.
      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.
      See all alternatives

      Related Comparisons

      Apache Spark vs PigApache Impala vs Apache Spark vs PigApache Spark vs Pig vs PrestoApache Flink vs Apache Spark vs PigPachyderm vs Pig

      Trending Comparisons

      Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

      Top Comparisons

      Bootstrap vs MaterializeBitbucket vs GitHub vs GitLabPostman vs Swagger UIHipChat vs Mattermost vs Slack