Best Data Analysis Software for Apache Kylin

Compare the Top Data Analysis Software that integrates with Apache Kylin as of October 2025

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This a list of Data Analysis software that integrates with Apache Kylin. Use the filters on the left to add additional filters for products that have integrations with Apache Kylin. View the products that work with Apache Kylin in the table below.

What is Data Analysis Software for Apache Kylin?

Data analysis software is software used to collect, process, and interpret large datasets to identify patterns, trends, and insights. It allows users to visualize data through interactive charts, graphs, and dashboards, making complex information more accessible. These tools often incorporate statistical, predictive, and machine learning features to support informed decision-making. Data analysis software is utilized across various industries, including finance, healthcare, marketing, and research, to enhance strategic planning and operational efficiency. By transforming raw data into actionable insights, it empowers organizations to make data-driven decisions. Compare and read user reviews of the best Data Analysis software for Apache Kylin currently available using the table below. This list is updated regularly.

1

Tableau

Salesforce

Tableau, now enhanced with AI-powered capabilities and integrated with Salesforce, is an advanced analytics platform that helps businesses turn data into actionable insights. With Tableau Next, users can unlock the full potential of their data by accessing trusted AI-driven analytics. Whether deployed in the cloud, on-premises, or natively within Salesforce CRM, Tableau enables seamless data integration, powerful visualizations, and collaboration. The platform is designed to support organizations of all sizes in making data-driven decisions, while fostering a Data Culture through easy-to-use, intuitive tools for analysts, business leaders, IT leaders, and developers alike.

7 Ratings

Starting Price: $75/user/month

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2

Qlik Sense

Qlik

Empower people at all skill levels to make data-driven decisions and take action when it matters most. Deeper interactivity. Broader context. Lightning fast. No one else compares. Qlik’s one-of-a-kind Associative technology brings unmatched power to the core of our industry-leading analytics experience. Empower all your users to explore freely at the speed of thought with hyperfast calculations, always in context, at scale. Yeah, it’s a big deal. And it’s why Qlik Sense takes you way beyond the limits of query-based analytics and dashboards our competitors offer. Insight Advisor in Qlik Sense uses AI to help your users understand and use data more effectively, minimizing cognitive bias, amplifying discovery, and elevating data literacy. Organizations need a dynamic relationship with information that reflects the current moment. Traditional, passive BI falls short.

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3

Apache Spark

Apache Software Foundation

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

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4

RATH

Kanaries Data

RATH is beyond an open-source alternative to Data Analysis and Visualization tools such as Tableau. It automates your Exploratory Data Analysis workflow with an Augmented Analytic engine and auto generate multi-dimensional data visualization. Features: 🤖 Mega-auto exploration: Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore and visualize datasets with one click. 👓 Data Wrangler: Automated data wrangler for generating a summary of the data and data transformation. 🛠 Semi-auto exploration: Never get lost again in Data Exploration. RATH progressively recommends your directions for Data Exploration. 🎨 Data painter: Having complex visual patterns that are difficult to grasp? Use Data Painter to instantly identify and get automatic explanations. 📊 Dashboard: build a beautiful interactive data dashboard 🚧 Causal Analysis: Provide causal discovery and explanations for complex relation analysis.

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