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Rakuten, a leading cashback and rewards website, initially used AtScale to improve analytics performance on Hadoop. AtScale enabled Rakuten to seamlessly migrate to Snowflake while continuing to optimize performance on their new cloud data platform.

As part of its new partnership with Snowflake, AtScale has implemented features that augment Snowflake’s use of different-sized warehouses to optimize cost and compute.

Combine Snowflake with AtScale and you get an analytics platform that can handle the biggest data with the most complex analytics at scale.

With More than 50 New Customers in 2018, Company to Use Funds to Expand Global Leadership in the Rapidly Growing $122 Billion Data Warehouse Virtualization Market

Major Updates in AtScale 7.4 Platform Simplify User Experience and Increase Operational Efficiency for Customers Migrating to the Cloud

AtScale, the data warehouse virtualization company, today announced the release of AtScale 2019.1. The platform update introduces native multi-dimensional support for Microsoft Power BI, data warehouse platform support for Teradata and PostgreSQL, a software development kit (SDK) for accelerated on-boarding of enterprise data platforms including Oracle and advanced query and security capabilities. Following an unprecedented sales quarter, with more than 125% in new business growth, AtScale is firmly establishing itself as the de facto leader for operational and business analytics.

July 17, 2019: AtScale, the data warehouse virtualization company, today announced its new 2019.2 platform release. The latest release augments AtScale’s autonomous data engineering innovations with the introduction of a sophisticated time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This new capability enables data analyst and data science teams to have unencumbered access to large volumes of dispersed operational time-series data. Data consumers can quickly query and configure data for their specific business definitions using the business intelligence (BI), artificial intelligence (AI) or machine learning (ML) tools of their choice.

Adaptive Analytics Fabric Leader Discusses Best Practices for Enabling Organizations to Derive Company Insights From Data Faster and More Securely

Delivers Intelligent Data Virtualization and Expands Autonomous Data Engineering Capabilities for Today’s Cloud Analytics Workloads SAN MATEO, Calif. and BOSTON, Jan. 15, 2020 – AtScale , the intelligent data virtualization provider for advanced analytics, today…

AtScale, the leading provider of intelligent data virtualization solutions, today announced that the company is offering free access to AtScale’s COVID-19 Cloud OLAP Model. The model was built to analyze COVID-19 data sets including Starschema: COVID-19 Epidemiological Data, which is available through Snowflake’s Data Exchange and Boston Children’s Hospital’s COVIDNearYou.org.