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EventQL VS Apache Doris

Compare EventQL VS Apache Doris and see what are their differences

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EventQL logo EventQL

The database for large-scale event analytics

Apache Doris logo Apache Doris

Apache Doris is an open-source real-time data warehouse for big data analytics.
  • EventQL Landing page
    Landing page //
    2022-07-17
  • Apache Doris Apache Doris
    Apache Doris //
    2024-01-10

Category Popularity

0-100% (relative to EventQL and Apache Doris)

EventQL

Apache Doris

Databases
25 25%
Databases
75% 75
Data Dashboard
100 100%
Data Dashboard
0% 0
Relational Databases
0 0%
Relational Databases
100% 100
Big Data
100 100%
Big Data
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare EventQL and Apache Doris

EventQL Reviews

We have no reviews of EventQL yet.
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Apache Doris Reviews

Log analysis: Elasticsearch vs Apache Doris
If you are looking for an efficient log analytic solution, Apache Doris is friendly to anyone equipped with SQL knowledge; if you find friction with the ELK stack, try Apache Doris provides better schema-free support, enables faster data writing and queries, and brings much less storage burden.
Source: doris.apache.org

Social recommendations and mentions

Based on our record, Apache Doris seems to be more popular. It has been mentiond 1 time 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 Doris mentions (1)

  • Variant in Apache Doris 2.1.0: a new data type 8 times faster than JSON for semi-structured data analysis
    As an open-source real-time data warehouse, Apache Doris provides semi-structured data processing capabilities, and the newly-released version 2.1.0 makes a stride in this direction. Before V2.1, Apache Doris stores semi-structured data as JSON files. However, during query execution, the real-time parsing of JSON data leads to high CPU and I/O consumption in addition to high query latency, especially when the... - Source: dev.to / about 1 month ago

What are some alternatives?

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

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

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

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

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

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

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

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