Software Alternatives & Reviews

Apache Hive VS EventQL

Compare Apache Hive VS EventQL and see what are their differences

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

EventQL logo EventQL

The database for large-scale event analytics
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • EventQL Landing page
    Landing page //
    2022-07-17

Apache Hive videos

Hive vs Impala - Comparing Apache Hive vs Apache Impala

EventQL videos

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Category Popularity

0-100% (relative to Apache Hive and EventQL)
Databases
84 84%
16% 16
Big Data
83 83%
17% 17
Data Dashboard
0 0%
100% 100
Relational Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Hive seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Hive mentions (8)

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EventQL mentions (0)

We have not tracked any mentions of EventQL yet. Tracking of EventQL recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Hive and EventQL, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

AWS Glue - Fully managed extract, transform, and load (ETL) service