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What is Apache Superset?

Superset is a powerful and intuitive platform filled with functionalities that enhance data exploration and visualization for users of all expertise levels, supporting a wide range of representations from simple line charts to complex geospatial visualizations. It can connect to any SQL-compatible data source through SQLAlchemy, making it adaptable to modern cloud-native databases and systems that manage massive volumes of petabyte-scale data. Furthermore, Superset's lightweight design and scalability enable it to leverage existing data infrastructure efficiently, negating the necessity for an additional layer of data ingestion. This characteristic positions it as an exceptional option for organizations aiming to optimize their data analytics capabilities effortlessly. Ultimately, Superset’s versatility and user-friendliness make it a valuable asset for businesses striving to enhance their insights through data.

What is Apache Kylin?

Apache Kylinâ„¢ is an open-source, distributed Analytical Data Warehouse designed specifically for Big Data, offering robust OLAP (Online Analytical Processing) capabilities that align with the demands of the modern data ecosystem. By advancing multi-dimensional cube structures and utilizing precalculation methods rooted in Hadoop and Spark, Kylin achieves an impressive query response time that remains stable even as data quantities increase. This forward-thinking strategy transforms query times from several minutes down to just milliseconds, thus revitalizing the potential for efficient online analytics within big data environments. Capable of handling over 10 billion rows in under a second, Kylin effectively removes the extensive delays that have historically plagued report generation crucial for prompt decision-making processes. Furthermore, its ability to effortlessly connect Hadoop data with various Business Intelligence tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue, and SuperSet greatly enhances the speed and efficiency of Business Intelligence on Hadoop. With its comprehensive support for ANSI SQL on Hadoop/Spark, Kylin also embraces a wide array of ANSI SQL query functions, making it versatile for different analytical needs. Its architecture is meticulously crafted to support thousands of interactive queries simultaneously, ensuring that resource usage per query is kept to a minimum while still delivering outstanding performance. This level of efficiency not only streamlines the analytics process but also empowers organizations to exploit big data insights more effectively than previously possible, leading to smarter and faster business decisions. Ultimately, Kylin's capabilities position it as a pivotal tool for enterprises aiming to harness the full potential of their data.

Media

Media

Integrations Supported

Amazon Redshift
ClickHouse
CrateDB
DashboardGPT
DataHub
Datus
Dremio
Exasol
Google Cloud BigQuery
MonetDB
MySQL
PostgresML
Presto
RTILA
SQLite

Integrations Supported

Apache Spark
Hue
Microsoft Excel
Tableau

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United States

Company Website

superset.apache.org

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

kylin.apache.org

Categories and Features

Data Visualization

Not specified

Categories and Features

Data Warehouse

Not specified

OLAP Databases

Not specified

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