AtScale Adaptive Analytics and Varonis Platform are two competing analytics solutions in the domains of data integration and data security. While A3 has an advantage in data federation and integration capabilities, Varonis stands out for its strong data security and governance features, crucial for compliance-focused environments.
Features: A3 is known for advanced data virtualization, seamless integration with various BI tools, and enhanced real-time analytics capabilities. Varonis offers strong data classification, risk assessment, and automation features, important for comprehensive data governance. A3 provides flexibility for analytics, while Varonis supports robust security and compliance.
Ease of Deployment and Customer Service: A3 ensures a straightforward deployment process with extensive support to maximize speed and efficiency. Varonis may involve more comprehensive configuration but offers specialized support for complex setups. A3 suits rapid deployment needs, whereas Varonis fits organizations that require specialized implementation assistance.
Pricing and ROI: A3 offers a competitive pricing model, providing significant ROI through its data virtualization benefits. Varonis has a higher initial setup cost, offset by superior security and compliance features, offering substantial ROI for data protection-focused enterprises. A3 is more suitable for cost-effective analytics, while Varonis supports its pricing with solid security benefits.
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.
Varonis Platform specializes in network security and data monitoring with modules for alerting, data classification, and access management, benefiting environments like Microsoft 365.
Varonis is designed to secure data by auditing and tracking data movement. It leverages data alert and classification modules to identify and manage sensitive information. The platform enhances network security by alerting users to unexpected data modifications and deletions, crucial for effective data loss prevention. It supports unstructured data management, ensuring proper data access and permission controls. Known for its 24/7 support, Varonis offers comprehensive analytics and unified reporting, helping prevent data overexposure and facilitating compliance efforts.
What are the key features of Varonis Platform?
What benefits should be highlighted in user reviews?
Varonis Platform is widely utilized in industries needing stringent data confidentiality and management, such as finance and healthcare, for tracking data modifications and unauthorized access. Enterprises deploy it to manage permissions within large datasets, benefiting Microsoft 365 environments. While Varonis requires enhancements in cloud integration, the current deployment is often based on-premises, with attention to addressing the security needs and effective data handling for critical infrastructure.
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