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EventQL vs Pig

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EventQL
3
9
+ 1
3
Pig
59
111
+ 1
5
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EventQL vs Pig: What are the differences?

Developers describe EventQL as "The database for large-scale event analytics". EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. On the other hand, Pig is detailed as "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. .

EventQL and Pig can be primarily classified as "Big Data" tools.

EventQL and Pig are both open source tools. EventQL with 1.02K GitHub stars and 91 forks on GitHub appears to be more popular than Pig with 583 GitHub stars and 449 GitHub forks.

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Pros of EventQL
Pros of Pig
  • 3
    23
  • 2
    Finer-grained control on parallelization
  • 1
    Proven at Petabyte scale
  • 1
    Open-source
  • 1
    Join optimizations for highly skewed data

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What is EventQL?

EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.

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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Jobs that mention EventQL and Pig as a desired skillset
Senior Software Engineer, Big Data
Pinterest
San Francisco, CA, US; , CA, US
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Senior Software Engineer, Big Data
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Senior Software Engineer, Big Data
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DreamTrinoAirflow+11
Senior Software Engineer, Big Data
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San Francisco, CA, US; , CA, US
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Staff Software Engineer, Ads Serving Platform
Pinterest
San Francisco, CA, US; , US
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guidanceInfraDream+9
Manager II, Engineering - Big Data Query Platform
Pinterest
San Francisco, CA, US; , US
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DreamTrinoYarn+7
Manager II, Engineering - Big Data Query Platform
Pinterest
San Francisco, CA, US; , US
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DreamTrinoYarn+7
Manager II, Engineering - Big Data Query Platform
Pinterest
San Francisco, CA, US; , US
View Job Details
DreamTrinoYarn+7
What companies use EventQL?
What companies use Pig?
    No companies found
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    What tools integrate with EventQL?
    What tools integrate with Pig?
      No integrations found
      What are some alternatives to EventQL and Pig?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives

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