WhereScape RED VS Apache Kylin

Compare WhereScape RED VS Apache Kylin and see what are their differences

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WhereScape RED

WhereScape RED is a world’s leading solution that helps more than 700 customers around the world to reduce project risk and deliver actionable, reliable data infrastructure initiatives faster.

Apache Kylin

OLAP Engine for Big Data

Landing page //
2023-07-23

Landing page //
2023-06-29

Apache Kylin

Website: kylin.apache.org

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WhereScape RED features and specs

No features have been listed yet.

Apache Kylin features and specs

High Query Performance
Apache Kylin is designed for high-performance, low-latency analytics on large datasets. Its OLAP engine pre-computes and stores aggregated queries, which speeds up query responses significantly.
Scalability
Kylin can handle massive volumes of data, making it suitable for large scale data warehousing needs. It is designed to scale out by distributing the workload across a cluster of servers.
Integration with Hadoop Ecosystem
Kylin integrates seamlessly with the Hadoop ecosystem, leveraging tools like Hive, HBase, and Spark to facilitate data processing and storage, thereby enhancing its functionality and compatibility.
Support for Multi-dimensional Analysis
It provides strong multidimensional analysis capabilities, allowing for complex queries using well-known BI tools like Tableau and Power BI.

Possible disadvantages of Apache Kylin

Complex Setup
Setting up and configuring Apache Kylin can be complex and time-consuming, requiring a deep understanding of the Hadoop ecosystem and its components.
Resource Intensity
The pre-computation of data cubes and their storage can be resource-intensive, consuming significant memory and storage capacity.
Limited Flexibility in Querying
Pre-aggregated cube-based analysis may not cover all ad-hoc queries. Kylin's strength lies in pre-aggregated queries but may fall short in handling highly dynamic, on-the-fly queries.
Maintenance Overhead
Maintaining Kylin’s precomputed cubes can become cumbersome, particularly as data evolves or changes frequently, requiring updates or recalculations of cubes.

WhereScape RED videos

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Join to Table Transformation in WhereScape RED

Apache Kylin videos

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Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

Category Popularity

0-100% (relative to WhereScape RED and Apache Kylin)

Apache Kylin

Data Management

100 100%

Data Management

0% 0

Databases

25 25%

Databases

75% 75

Relational Databases

0 0%

Relational Databases

100% 100

Big Data

33 33%

Big Data

67% 67

User comments

Share your experience with using WhereScape RED and Apache Kylin. For example, how are they different and which one is better?

Social recommendations and mentions

Apache Kylin might be a bit more popular than WhereScape RED. We know about 1 link to it since March 2021 and only 1 link to WhereScape RED. 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.

WhereScape RED mentions (1)

Does anyone use a no-code data transformation tool?
It’s typically for building data warehouses, but check out wherescape.com. Source: over 2 years ago

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 / about 3 years ago