Best Data Management Software for Apache Kylin

Apache Hive™, a data warehouse software, facilitates the reading, writing and management of large datasets that are stored in distributed storage using SQL. Structure can be projected onto existing data. Hive provides a command line tool and a JDBC driver to allow users to connect to it. Apache Hive is an Apache Software Foundation open-source project. It was previously a subproject to Apache® Hadoop®, but it has now become a top-level project. We encourage you to read about the project and share your knowledge. To execute traditional SQL queries, you must use the MapReduce Java API. Hive provides the SQL abstraction needed to integrate SQL-like query (HiveQL), into the underlying Java. This is in addition to the Java API that implements queries.

Apache Kafka®, is an open-source distributed streaming platform.

Tableau, a comprehensive business intelligence (BI/analytics) solution, allows you to generate, analyze, and interpret business data. Tableau allows users to gather data from many sources, including spreadsheets, SQL databases and Salesforce. Tableau offers real-time visual analytics as well as an interactive dashboard that allows users to slice and dice data to make relevant insights and find new opportunities. Tableau allows users to customize the platform for different industry verticals such as communication, banking, and more.

You can quickly create and share dynamic, customizable, and beautiful dashboards that showcase your data in just a few clicks. Explore your data with our no-code visualiser or perform deeper analysis using the state-of-the art SQL editor. A lightweight, powerful visualization layer will allow you to leverage the investments made in your data infrastructure. Superset doesn't require any additional ingestion layers and is independent of your underlying data architecture. Apache Superset is an open-source data visualization tool that was developed out of Airbnb. Preset was founded by the original creator and maintainer of Superset. It provides a complete, easy-to-use, enterprise-ready platform for Superset.

Hue provides the best querying experience by combining the most intelligent autocomplete components and query editor. The tables and storage browses use your existing data catalog in a transparent way. Help users find the right data among thousands databases and document it themselves. Help users with their SQL queries, and use rich previews of links. Share directly from the editor in Slack. There are several apps, each specialized in one type of querying. Browsers are the first place to explore data sources. The editor excels at SQL queries. It has an intelligent autocomplete and risk alerts. Self-service troubleshooting is also available. Dashboards are primarily used to visualize indexed data, but they can also query SQL databases. The results of a search for specific cell values are highlighted. Hue has one of the most powerful SQL autocompletes on the planet to make your SQL editing experience as easy as possible.

Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.

Empower all levels of skill to make data-driven decisions, and take action when it is most important. Deeper interactivity. Broader context Lightning fast. No one else can match it. Qlik's unique Associative technology is unrivalled in its ability to power our industry-leading analytics experience. All your users can explore at their own pace with hyperfast calculations. Always in context and at scale. It's big. Qlik Sense goes beyond the limitations of query-based analytics or dashboards offered by competitors. Insight Advisor in Qlik Sense employs AI to help users understand and use data better, minimizing cognitive bias, increasing discovery, and elevating data literacy. Organizations need to have a dynamic relationship with the information that is relevant at the moment. Traditional passive BI is not enough.

RATH is more than a data analysis and visualization tool like Tableau. It automates your Exploratory data analysis workflow by using an Augmented Analytic engine to discover patterns, insights, and causals, and presents those insights in a powerful auto-generated multidimensional data visualization.

Apache Hadoop is a software library that allows distributed processing of large data sets across multiple computers. It uses simple programming models. It can scale from one server to thousands of machines and offer local computations and storage. Instead of relying on hardware to provide high-availability, it is designed to detect and manage failures at the application layer. This allows for highly-available services on top of a cluster computers that may be susceptible to failures.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.

Superset is lightweight, fast, intuitive, and loaded full of options that make it easy to explore and visualize data. This includes simple line charts and detailed geospatial maps. Superset can connect through SQLAlchemy to any SQL-based datasource, including modern cloud native databases or engines at petabytescale. Superset is lightweight, highly scalable and can leverage the power of your existing data infrastructure.