Apache Kylin VS Apache Druid

In this article, we are about to compare two of the most competitive big data tools in the field of Online Analytical Processing (OLAP), what features do they both possess, and which major companies use these products?

Apache Kylin VS Apache Druid:

Apache Kylin	Apache Druid
Apache Kylin is a big data open-source Distributed Analytical Data Warehouse that was designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop while supporting extremely large datasets.	Apache Druid is a real-time analytics database designed for OLAP queries on large data sets. Druid excels as a data warehousing solution for fast aggregate queries on petabyte-sized data sets.
Version 4.0.1	Version 0.22.1
Developed by eBay Inc.	Developed by Metamarkets
https://kylin.apache.org/	https://druid.apache.org/

Features they possess:

Features
Apache Kylin	Apache Druid
Star schema and snowflake schema support	Columnar storage format
Timely Decision Making on Big Data	Scalable distributed system
BI Support	Massively parallel processing
ANSI SQL Interface	Real-time or batch ingestion
Interactive Queries at High Concurrency	Self-healing, self-balancing, easy to operate
Real-time OLAP for Streaming Big Data	Cloud-native, fault-tolerant architecture
MOLAP Cube Pre-calculation	Indexes for quick filtering
	Time-based partitioning
	Approximate algorithms
	Automatic summarization at ingest time

Which companies use these products?

Apache Kylin's use-cases are Kyligence and OLX Group.

Apache Druid is currently used by Alibaba, Airbnb, Cisco, eBay, Lyft, Netflix, PayPal, Pinterest, Twitter, Walmart, Wikimedia Foundation, and Yahoo.

Conclusion:

From the information I provided above, you can see that Apache Druid is mostly conquering the technology industries but Apache Kylin is also in the lead progressing its way forward. If you like this content, make sure to share and comment your ideas about this.

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