AtScale Adaptive Analytics (A3) vs Collibra Data Intelligence Platform comparison

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.

Collibra Data Intelligence Platform empowers businesses with comprehensive data management and governance, helping organizations streamline data operations and enhance data-driven decision-making through advanced technology and robust features.

Collibra Data Intelligence Platform is tailored for improving data governance and management across enterprises. It facilitates seamless data integration, governance, and collaboration while ensuring data quality and compliance. Users benefit from its intuitive design, aiding efficient data categorization, lineage, and privacy. The platform enables effective data stewardship, unlocking insights through detailed analytics, making it a crucial tool for fostering a data-driven culture. However, users note potential enhancements in data catalog functionalities and reporting capabilities that could further optimize data handling.

• Data Governance: Enforces metadata management and policy setting across the organization.
• Data Catalog: Provides a centralized data repository, offering accessibility and comprehensive visibility.
• Data Stewardship: Ensures data quality through role-based stewardship assignments and workflows.
• Data Lineage: Tracks data sources and transformations for accuracy and compliance.
• Privacy and Security: Implements robust data protection measures ensuring compliance with legal standards.

• Efficiency: Streamlines data operations, reducing time spent on manual data management tasks.
• Scalability: Adapts to growing data needs, supporting enterprise expansion without compromising performance.
• Compliance: Assures regulatory adherence, minimizing risks associated with data breaches.
• Insight Generation: Facilitates the discovery of actionable insights, driving informed business decisions.

Industries such as finance, healthcare, and retail leverage Collibra Data Intelligence Platform to address specific data governance needs. In finance, it supports regulatory compliance and data integrity. Healthcare providers utilize it for managing sensitive patient data securely, while retail sectors gain improved data visibility and customer insights.