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Corral vs Apache Impala

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Corral
0
4
+ 1
0
Apache Impala
146
301
+ 1
18
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Corral vs Impala: What are the differences?

What is Corral? A serverless MapReduce framework written for AWS Lambda. Corral is a MapReduce framework designed to be deployed to serverless platforms, like AWS Lambda. It presents a lightweight alternative to Hadoop MapReduce.

What is Impala? Real-time Query for Hadoop. 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.

Corral and Impala can be categorized as "Big Data" tools.

Corral and Impala are both open source tools. It seems that Impala with 2.18K GitHub stars and 824 forks on GitHub has more adoption than Corral with 611 GitHub stars and 16 GitHub forks.

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Pros of Corral
Pros of Apache Impala
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    • 11
      Super fast
    • 1
      Massively Parallel Processing
    • 1
      Load Balancing
    • 1
      Replication
    • 1
      Scalability
    • 1
      Distributed
    • 1
      High Performance
    • 1
      Open Sourse

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    52
    2.1K
    693
    40
    21y
    34
    34
    5y

    What is Corral?

    Corral is a MapReduce framework designed to be deployed to serverless platforms, like AWS Lambda. It presents a lightweight alternative to Hadoop MapReduce.

    What is Apache 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.

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    Jobs that mention Corral and Apache Impala as a desired skillset
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    What companies use Corral?
    What companies use Apache Impala?
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      What tools integrate with Corral?
      What tools integrate with Apache Impala?

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      What are some alternatives to Corral and Apache Impala?
      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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