Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
AtScale is a tool in the Business Intelligence category of a tech stack.
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What are some alternatives to AtScale?
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.
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
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.
Python, Amazon S3, Tableau, Power BI, Qlik Sense and 4 more are some of the popular tools that integrate with AtScale. Here's a list of all 9 tools that integrate with AtScale.