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Azure SQL Data Warehouse VS Apache Kylin

Compare Azure SQL Data Warehouse VS Apache Kylin and see what are their differences

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Azure SQL Data Warehouse logo Azure SQL Data Warehouse

Azure Synapse Analytics (formerly SQL DW) is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.

Apache Kylin logo Apache Kylin

OLAP Engine for Big Data
  • Azure SQL Data Warehouse Landing page
    Landing page //
    2023-09-27
  • Apache Kylin Landing page
    Landing page //
    2023-06-29

Azure SQL Data Warehouse videos

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Comparing Azure SQL Data Warehouse to the Competition

More videos:

  • Review - Is Azure SQL Data Warehouse the Right SQL Platform for You?

Apache Kylin videos

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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 Azure SQL Data Warehouse and Apache Kylin)

Azure SQL Data Warehouse

Apache Kylin

Databases
38 38%
Databases
62% 62
Big Data
39 39%
Big Data
61% 61
Data Management
64 64%
Data Management
36% 36
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Azure SQL Data Warehouse 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.

Azure SQL Data Warehouse mentions (0)

We have not tracked any mentions of Azure SQL Data Warehouse yet. Tracking of Azure SQL Data Warehouse 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 Azure SQL Data Warehouse and Apache Kylin, you can also consider the following products

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

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

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

Apache Druid - Fast column-oriented distributed data store

IBM Db2 Warehouse on Cloud - IBM Db2 Warehouse on Cloud is a fully-managed, cloud data warehouse service powered by IBM BLU Acceleration and built for high-performance analytics and machine learning.

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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