Software Alternatives & Reviews

EventQL VS Apache Hive

Compare EventQL VS Apache Hive and see what are their differences

EventQL logo EventQL

The database for large-scale event analytics

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
  • EventQL Landing page
    Landing page //
    2022-07-17
  • Apache Hive Landing page
    Landing page //
    2023-01-13

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Apache Hive videos

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

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

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.

EventQL mentions (0)

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

Apache Hive mentions (8)

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What are some alternatives?

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

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

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

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

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

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

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