Migrate your data from multiple sources to the cloud without business disruption
while improving query speed and lowering your costs.
As companies move to the cloud, they are finding the proposition easier than the deed. AtScale alleviates the pain of cloud data migration by simplifying how companies connect and access all their data platforms (on-premise and in the cloud), avoiding risky and difficult lift-and-shift approaches. AtScale’s unique ability to intelligently virtualize Enterprise Data Warehouses and facilitate fast, consistent and universal access to data delivers the benefits of cloud migration upfront and future-proofs the enterprise against further data migration and disruption.
Whether you’re considering a migration to a cloud or hybrid-cloud environment, in the midst of a migration, or have already made the transition, an adaptive analytics fabric provides the confidence you need to move data from legacy systems.
AtScale enables fast, consolidated data access without moving, translating, or re-architecting data. Intelligent data virtualization enables enterprises to modernize their data architecture so that it is location and format agnostic. Time to market is fast because AtScale has native connections and a Software Development Kit (SDK) that enables people to add new platforms in no time.
Intelligent data virtualization preserves the security policies of individual databases, orchestrates seamless merging of policies when users are working with multiple databases that may have different security policies, and applies global security policies across all data.
AtScale’s intelligent data virtualization lets data scientists and business users use any BI tool they want because the differences in data formats are automatically normalized with a semantic translation layer. No longer do you have to bend all users to a single standard for BI software. Disparate datasets can be accessed, integrated and analyzed with any BI tool, and data and queries will always return consistent answers.
AtScale’s intelligent data virtualization uses machine learning to apply high-performance aggregates to data to improve query speed and cost performance. One AtScale customer moved 5,000 business locations to the cloud over two weeks, improved query performance 50%, and reduced costs 90%.
Succeeding in your cloud migration initiative requires support from a team that understands the potential blockers that come with such a transformative technology implementation. With experienced developer and analytics professionals on your side, you get unmatched levels of transparency and attention when you need it most.
Speed time-to-delivery using documented best practices from dozens of deployments.
Scale and expand to meet immediate and long-term demands with an extended project team available on- and off-site.
An assessment of the business impact of your Big Data analytics project to understand and measure the positive outcomes it will produce.
AtScale partners with the leading technology companies in the data and analytics industry to provide solutions for our customers that help them unleash the power of data for analytics.
Learn how AtScale provides access to live data on AWS Redshift and S3 – quickly, easily and securely – for analytics and business intelligence.
AtScale and Google BigQuery together provide a cost effective, business friendly analytics solution that includes a Universal Semantic Layer, predictable performance, data governance and security all in one.
Along with Microsoft Power BI and the Microsoft Azure cloud, AtScale and Microsoft together deliver a complete self service analytics powerhouse on-premise and in the cloud.
AtScale enabled the migration of data from Hadoop to Google BigQuery with minimal disruption to the retail stores that use the data for stocking and pricing every week.
AtScale’s Universal Semantic Layer™ enabled the enterprise to migrate its data to without interrupting data use. Data now refreshes in minutes, and query responses take seconds.
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.
Four practical ways intelligent data virtualization can improve the cloud data migration journey.
DOWNLOAD NOWRemove barriers and accelerate cloud migration without adding another platform.
DOWNLOAD NOWLearn how Rakuten used AtScale to seamlessly migrate data from 10 million customers from a traditional on-premise data warehouse to the cloud with zero business disruption.
DOWNLOAD NOWDeliver data for business intelligence and machine learning analytics just-in-time.
Shift resources from managing distributed data silos—to analyzing them.