Home
Application and Data
Data Stores
Big Data Tools

EventQL vs Apache Impala

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

EventQL
3
9
+ 1
3
Apache Impala
146
301
+ 1
18
Add tool

EventQL vs Impala: What are the differences?

What is EventQL? 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.

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.

EventQL and Impala belong to "Big Data Tools" category of the tech stack.

"23" is the primary reason why developers consider EventQL over the competitors, whereas "Super fast" was stated as the key factor in picking Impala.

EventQL and Impala are both open source tools. Impala with 2.18K GitHub stars and 824 forks on GitHub appears to be more popular than EventQL with 1.02K GitHub stars and 91 GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of EventQL
Pros of Apache Impala
  • 3
    23
  • 11
    Super fast
  • 1
    Massively Parallel Processing
  • 1
    Load Balancing
  • 1
    Replication
  • 1
    Scalability
  • 1
    Distributed
  • 1
    High Performance
  • 1
    Open Sourse

Sign up to add or upvote prosMake informed product decisions

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 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.

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

Jobs that mention EventQL and Apache Impala 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 EventQL?
What companies use Apache Impala?
    No companies found
    Manage your open source components, licenses, and vulnerabilities
    Learn More

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

    What tools integrate with EventQL?
    What tools integrate with Apache Impala?
      No integrations found

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to EventQL 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

      Related Comparisons

      Apache Impala vs Apache Spark vs PrestoApache Impala vs Apache Spark vs PigApache Impala vs PrestoApache Impala vs DruidApache Impala vs Apache Kylin vs Presto

      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

      HipChat vs Mattermost vs SlackPostman vs Swagger UIBitbucket vs GitHub vs GitLabBootstrap vs Materialize