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Multiple SQL-on-Hadoop Engine Support;
Access Data Where it Lays;
Built-in Support for Complex Data Types;
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It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Figma is the first interface design tool with real-time collaboration. It keeps everyone on the same page. Focus on the work instead of fighting your tools.

Distributed SQL Query Engine for Big Data

Easily create complex shapes with our state-of-the-art vector boolean operations and take advantage of our extensive layer styles.

It is the best in the world of graphic design and image processing software that will realize any of your ideas. Create and enhance photos, illustrations and 3D graphic objects.

A vector-based tool developed and published by Adobe Inc for designing and prototyping user experience for web and mobile apps.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.