AtScale Adaptive Analytics (A3) and Hammerspace are competing in the analytics and data management category. AtScale A3 is preferred for pricing and support, while Hammerspace has an advantage in features with its advanced capabilities.
Features: AtScale A3 features high-level analytical capabilities, seamless integration with BI tools, and real-time data virtualization. Hammerspace provides global file system access, robust data orchestration, and enhanced scalability options.
Ease of Deployment and Customer Service: Hammerspace offers a straightforward deployment with comprehensive support focusing on data orchestration. AtScale A3 provides seamless cloud integration but has mixed feedback on configuration complexity. Hammerspace deployment is seen as more user-friendly, while AtScale benefits from strong customer support.
Pricing and ROI: AtScale A3 has competitive setup costs and efficient ROI with its data analysis strengths, making it ideal for budget-conscious choices. Hammerspace may incur higher initial expenses but promises substantial long-term ROI with its expansive data management features. Both products deliver effective value correlated with their feature sets.
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.
Hammerspace offers a comprehensive solution for data management with a focus on delivering cohesive data orchestration across hybrid IT environments. It optimizes resource deployment for dynamic applications, providing streamlined accessibility and scalability.
Hammerspace is designed to address the challenges of data fragmentation and accessibility within complex IT infrastructures. It enables enterprises to effortlessly manage, protect, and share data across public and private cloud storage. Hammerspace distinguishes itself by providing a unified data environment that facilitates seamless data movement without changing existing workflows. It bridges the gap between data centers and cloud storage, ensuring consistent data availability that empowers organizations to innovate while reducing operational complexity.
What are the most important features of Hammerspace?In industries such as finance and healthcare, where data integrity and rapid access are critical, Hammerspace is implemented to ensure secure and efficient data operations. Financial institutions leverage its capabilities for regulatory compliance and rapid analytics, while healthcare organizations utilize Hammerspace to streamline patient data management and enhance collaborative care.
We monitor all Data Virtualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
