AtScale Adaptive Analytics (A3) vs Okera 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.

Okera provides secure data access management, enabling enterprises to effectively govern and manage data at scale, ensuring compliance and boosting data-driven insights.

Okera is designed for organizations needing robust data access control. It automates policy enforcement, supports diverse data environments, and integrates seamlessly with modern data architectures. By focusing on data governance, Okera helps enterprises maintain compliance while unlocking the potential of their data assets.

• Dynamic Access Control: Ensures real-time control over data permissions.
• Automated Policy Enforcement: Streamlines governance by automating policy rules.
• Comprehensive Audit Logs: Provides detailed trails for compliance and auditing.
• Scalable Architecture: Suited for handling large and complex datasets.

• Enhanced Security: Reduces risk of data breaches by protecting sensitive information.
• Improved Compliance: Eases regulatory compliance through automatic policy enforcement.
• Operational Efficiency: Saves time by automating data access tasks.
• Data Utilization: Increases data value by making it easily accessible to authorized users.

Okera is implemented across industries such as finance, healthcare, and retail, where data security and compliance are crucial. In finance, it manages sensitive financial records and supports compliance with regulations like GDPR. Healthcare organizations use Okera to protect patient information, ensuring data privacy while allowing insights that drive better patient outcomes. In retail, Okera helps manage consumer data, enabling personalized marketing strategies while safeguarding customer privacy.