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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.

Cheers!

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