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EventQL

3
9
+ 1
3
OpenRefine

34
68
+ 1
0
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EventQL vs OpenRefine: 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, OpenRefine is detailed as "Desktop application for data cleanup and transformation". It is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

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

EventQL and OpenRefine are both open source tools. OpenRefine with 6.54K GitHub stars and 1.15K forks on GitHub appears to be more popular than EventQL with 1.04K GitHub stars and 93 GitHub forks.

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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 OpenRefine?

    It is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

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

    What companies use EventQL?
    What companies use OpenRefine?
      No companies found
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      What tools integrate with EventQL?
      What tools integrate with OpenRefine?
        No integrations found
        What are some alternatives to EventQL and OpenRefine?
        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