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MonetDB VS Apache Kylin

Compare MonetDB VS Apache Kylin and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

MonetDB logo MonetDB

Column-store database

Apache Kylin logo Apache Kylin

OLAP Engine for Big Data
  • MonetDB Landing page
    Landing page //
    2023-09-23
  • Apache Kylin Landing page
    Landing page //
    2023-06-29

MonetDB videos

+ Add

MonetDB on Azure - Deployment and First Query

More videos:

  • Review - My uninformed attempt at running open source high speed monetDB
  • Review - DB2 — Chapter 03 — Video #10 — Column storage in MonetDB, NSM vs. DSM, positional BAT "joins"

Apache Kylin videos

+ Add

Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

More videos:

  • Review - Apache Kylin: OLAP Cubes for NoSQL Data stores
  • Review - Installing Apache Kylin in Cloudera Quickstart VM Sandbox

Category Popularity

0-100% (relative to MonetDB and Apache Kylin)

MonetDB

Apache Kylin

Databases
28 28%
Databases
72% 72
Relational Databases
100 100%
Relational Databases
0% 0
Big Data
29 29%
Big Data
71% 71
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using MonetDB and Apache Kylin. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Kylin 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.

MonetDB mentions (0)

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

Apache Kylin mentions (1)

  • Apache Kafka Use Cases: When To Use It & When Not To
    A Kafka-based data integration platform will be a good fit here. The services can add events to different topics in a broker whenever there is a data update. Kafka consumers corresponding to each of the services can monitor these topics and make updates to the data in real-time. It is also possible to create a unified data store through the same integration platform. Developers can implement a unified store either... - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing MonetDB and Apache Kylin, you can also consider the following products

DuckDB - DuckDB is an in-process SQL OLAP database management system

Spring Batch - Level up your Java code and explore what Spring can do for you.

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

Apache Druid - Fast column-oriented distributed data store

DataGrip - Tool for SQL and databases

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

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