AtScale’s Universal Semantic Layer™ enables a single location to define and enforce business relationships within enterprise data.
AtScale returns queries with data only according to the privileges a user has with each constituent database.
Virtualizes data eliminating the need to create extracts, greatly reducing data mishandling and / or potential loss.
Provide logical and physical enforcement points for data access while tracking lineage for reliable and consistent reporting, at query level granularity.
AtScale helps join data consistently despite variances in business logic definitions across business units and formats differences between platforms.
AtScale makes data platforms easy to discover so that employees refrain from creating their own data stores locally which could lead to problems with data accuracy, freshness, and privacy.
Automated translation ensures that data from disparate databases will be formatted correctly. Data scientists using AtScale can rely on data accuracy and consistency while they focus on business questions.
When data scientists know they can access timely and trustworthy data easily, they can stop downloading extracts and can adhere to corporate governance and security policies.
AtScale enables companies that have data distributed across silos with disparate security requirements to protect data while empowering users to work with live data.
AtScale helps companies achieve consistent data analysis across users working with multiple datasets or with varying BI/ML tools.
AtScale ensures data consistency and accuracy by simplifying the process of finding and working with data.
Facilitates faster time to insight as queries execute in seconds or minutes rather than hours or days
As a centralized service between data scientists and the company’s various data platforms, AtScale Adaptive Analytics is ideally positioned to facilitate fast, reliable access to data, the rapid development of new models for research, and the secure distribution of data.
Implement systems that minimize the manual effort and risk of human error when managing data quality and privacy.
Save IT time by automating data engineering and implementing systems that provide security and privacy by design for compliance.
Automate and govern security policies to minimize gaps that could lead to security failures.
Reduce the challenges of working with data by automating data engineering for joins and queries.
Ensure reliable data and privacy across all corporate datastores by implementing AtScale as an intermediary system between users and data.
Ensure secure communication channels with support for TLS-secured communications. Secure data at rest using data-platform-level encryption zones and masking.
Manage all of your users and groups using your existing LDAP or Active Directory infrastructure. Use delegated authorization for any BI tool or custom application.
Fortune 50 DIY retailer optimizes a cloud data platform to increase ROI per analysis.
Toyota leverages AtScale, accelerating time-to-insight from weeks to minutes.
Fortune 100 industrial conglomerate embraces the cloud without business disruption.
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