AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven
AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.
Benefits:
No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.
Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.
Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.
No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.
Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.
Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.
Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.
Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.
Features:
Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.
Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.
Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.
Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.
Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.
AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.
GoodData provides cloud-based big data solutions to companies in any industry. GoodData's platform is a scalable, reliable and secure method of analyzing large data sets. It is specifically useful for companies seeking to gain insights into marketing, sales and customer service performance. GoodData's platform works with any data source and is able to load, store, analyze, visualize and share data sets. This business intelligence (BI) platform is able to access existing data from any source including SaaS, on premise, structured, and unstructured. It allows companies to monitor and manage multiple load processes from its data integration service console. GoodData's big data analysis uses Multidimensional Analytics Query Language (MAQL) and the Extensible Analytics Engine. The combination of these two features results in enhanced multi-level caching, increased performance and the option to include advanced metrics. The platform's data reporting and visualization features are user-friendly, customizable and are cross-platform compatible. GoodData improves collaboration among teams with advanced exporting and sharing capabilities via branded dashboards and offers 24/7 customer support. GoodData's platform has been implemented by many enterprises to improve and optimize services. Switchfly, a company that provides technology solutions aimed at increasing customer engagement, needed a big data platform that was able to efficiently analyze over 60 billion customer impressions made each year. After implementing GoodData's platform, Switchfly was able to provide their clients with relevant insights into customer behavior and accurately measure market impact. GoodData is just one of many SaaS business intelligence products reviewed in our SmartAdvisor; click the link to see more solutions.
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