Big Data
AtScale 5.0 brings order to the big data chaos
Wednesday, March 15, 2017
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Austin Harris |
Big Data tools by AtScale to help tame the chaotic big data market.
AtScale announced the general availability of AtScale 5.0. Supported by a newly granted patent on the platform’s ability to run its powerful calculation engine against any BI visualization tool, AtScale 5.0 brings order to the big data chaos.
AtScale 5.0 packs new features including a scalable dimensional calculation engine, a machine learning performance optimizer, a universal data abstraction layer and enterprise-grade security, governance and metadata management capabilities.
The company will be showcasing this innovation at the Gartner Conference this week and the Strata+Hadoop World Conference next week. This announcement comes on the heels of 10X company growth and an impressive list of new enterprise customers using its products across the globe and in major industries.
BI Platforms have traditionally been defined as ‘closed stacks’ that integrate definitions, query logic and visualization capabilities into one product suite. These suites were most appropriate for an era when IT managed BI, employees’ reporting needs were simple and data volumes small.
“The development approach that the business intelligence software industry has taken over the last two decades has not led to standardization in terms of presentation or analytics methodology. On the contrary, there are many more analytics and business intelligence tools today than there were five years ago,” said John L Myers, Managing Research Director at Enterprise Management Associates (EMA), a Boulder, CO based industry analysis firm. “With the growth of big data and data management options in recent years, there promises to be many more options five years from now.”
Despite years of efforts by enterprises to encourage standardization, business users are routinely using multiple visualization tools (Tableau, Microsoft Excel, etc) and asking bigger and broader questions of data stored across traditional databases like Teradata, modern platforms like Hadoop and next-generation analytics services like Google BigQuery. They need consistent speed, scale and security, regardless of which BI visualization tool they use and regardless of the data they query. AtScale 5.0 enables that.
AtScale 5.0 packs new features including a scalable dimensional calculation engine, a machine learning performance optimizer, a universal data abstraction layer and enterprise-grade security, governance and metadata management capabilities.
The company will be showcasing this innovation at the Gartner Conference this week and the Strata+Hadoop World Conference next week. This announcement comes on the heels of 10X company growth and an impressive list of new enterprise customers using its products across the globe and in major industries.
Bringing Order to the Big Data Chaos
BI Platforms have traditionally been defined as ‘closed stacks’ that integrate definitions, query logic and visualization capabilities into one product suite. These suites were most appropriate for an era when IT managed BI, employees’ reporting needs were simple and data volumes small.
“The development approach that the business intelligence software industry has taken over the last two decades has not led to standardization in terms of presentation or analytics methodology. On the contrary, there are many more analytics and business intelligence tools today than there were five years ago,” said John L Myers, Managing Research Director at Enterprise Management Associates (EMA), a Boulder, CO based industry analysis firm. “With the growth of big data and data management options in recent years, there promises to be many more options five years from now.”
Despite years of efforts by enterprises to encourage standardization, business users are routinely using multiple visualization tools (Tableau, Microsoft Excel, etc) and asking bigger and broader questions of data stored across traditional databases like Teradata, modern platforms like Hadoop and next-generation analytics services like Google BigQuery. They need consistent speed, scale and security, regardless of which BI visualization tool they use and regardless of the data they query. AtScale 5.0 enables that.
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