AtScale

THE COMPLETE BUYER'S GUIDE FOR INTELLIGENT DATA VIRTUALIZATION
Future Proof Your Technology Choices and Avoid Vendor Lock-in

 

 

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GET STARTED ON YOUR SEARCH FOR AN INTELLIGENT DATA VIRTUALIZATION SOLUTION

This buyer’s guide lays out key considerations for organizations looking to apply data virtualization to their analytics use cases. Along with key features and capabilities, you’ll learn about the difference between data virtualization and query federation, drill down on caching techniques and get a detailed checklist for evaluating vendors in the space.

Topics covered include:

  • How to get started on your search, including a features and capabilities checklist
  • Key considerations during your search including data sources, OLAP, query performance, client-side requirements, and security & governance
  • The difference between Data Virtualization AND “Intelligent” Data Virtualization – what it is, how it works, and how it can be used
  • Data Virtualization readiness – how to assess when Data Virtualization is the right move for your organization

We also point you to additional resources and further reading to help you as you continue your research.

Overcome the challenges of embracing the cloud for Big Data systems and create value from your data.

Controlling the Complexity & Cost of Analytics

Learn how to mitigate the challenges of processing huge volumes of diverse and distributed data, including performance and cost.

WORKING WITH BIG DATA

Understand how to enable BI and Data Science teams to find and use the data that is relevant for their particular analyses.

MAKE BIG DATA WORK THROUGH MODERN ARCHITECTURE

See why data virtualization and automated data engineering are critical for ensuring that analyses include all the relevant information needed, at the time of need, without taxing IT resources.

DATA DRIVEN WINNER'S CIRCLE

Customers who have chosen the right tool for the job — the right virtualization for the data.

ATSCALE: LIBERATE YOUR DATA

AtScale's Adaptive Analytics Fabric: Take command of your data. No matter the scale.

CONTROL COMPLEXITY & COST

AI-driven autonomous data engineering alleviates complex and time consuming data movement and transformations. Leverage your existing data infrastructure with unparalleled performance and scale in hybrid cloud, multi-cloud and on-premise environments.

ACCELERATE TIME TO BETTER INSIGHTS

Interactive query performance on live data for just-in-time insights. AtScale auto-tunes query performance through user behavior analysis and artificial intelligence for predictability and efficiency in resource consumption.

MITIGATE THE MULTITUDE OF RISK

Ensure data security and governance with business level (semantic) security along with the underlying native database security. Integrate with data platforms’ native security capabilities seamlessly and transparently.