Stratio Data Fabric is a data management platform from Stratio that supports the automation and acceleration of data discovery and data virtualization. It combines artificial intelligence capabilities, comprehensive data governance, and real-time data integration so organizations can effectively manage their data assets. This platform enables users to access insights faster while ensuring compliance and data quality. Stratio Data Fabric also allows for scalable data architecture and facilitates collaboration across teams by providing a unified view of data resources. Key capabilities: AI-driven data discovery data virtualization comprehensive data governance real-time data integration scalable architecture Best for: organizations that need efficient data management and analytics solutions.
Stratio Data Fabric is an advanced data management solution designed to simplify and accelerate the integration, processing, and analysis of diverse data sources across enterprises. Its primary purpose is to provide a unified platform that enables organizations to manage their entire data lifecycle efficiently, leveraging the power of generative AI to automate data tasks and deliver actionable insights. Stratio’s key features include automated data discovery, data quality monitoring, AI-driven data cataloging, and seamless data orchestration across cloud and on-premises environments. This approach positions Stratio Data Fabric as a comprehensive platform that empowers businesses and government agencies to harness the full potential of their data while maintaining governance and compliance. The user interface of Stratio Data Fabric is modern and thoughtfully designed to support both technical and non-technical users. It offers a clean, dashboard-centric layout that presents critical information at a glance, with customizable widgets and visual analytics that simplify data exploration. Navigation is intuitive, with clearly labeled menus and a logical workflow that guides users through tasks such as data ingestion, transformation, and monitoring.
Automatically unifies data from all sources (on-premises, cloud, multi-cloud) and gives it business meaning through an automatic, integrated technical overview and a semantic layer generation.
Automates a significant portion (stated as 80%) of routine data management processes, reducing manual effort in discovery, cataloging, integration, and governance.
Enables robust data governance with fine-grained security controls, ensuring access to approved data and systems while facilitating compliance with regulations like GDPR, PII, and PCI standards.
Speeds up the development of data products, machine learning models, and the adoption of generative AI by providing a unified, governed, and easily accessible data foundation.
Accesses data at its source through virtualization, meaning data is never moved or replicated, improving efficiency and reducing data silos.
Allows business users to interact with data using natural language, create chatbots, Q&A systems, summarize text, and get expert recommendations directly from the data.
Automatically unifies data from all diverse sources, whether on-premises or across various cloud environments, providing a single, consistent view.
Leverages AI to automatically improve data quality, bolster security, and enrich the business context of your data, reducing manual effort and errors.
Designed for flexibility, allowing organizations to deploy only the specific components they need and seamlessly integrate with their existing tech stack, saving time and resources.
Automates a significant portion (up to 80%) of routine data management tasks, including discovery, cataloging, integration, and governance workflows.
Enables robust and active data governance through features like automatic mapping with technical data and a semantic layer, ensuring data is managed effectively.
Provides fine-grained security, allowing precise control over who can access specific data assets and systems, enhancing data protection.
Speeds up the creation of new data products by providing a unified, governed, and easily accessible data foundation.
Facilitates quicker development and deployment of machine learning models by providing streamlined access to quality data.
Promotes the rapid integration and utilization of generative AI capabilities within the enterprise.
Accesses data directly at its source through virtualization, eliminating the need to move or replicate data, which improves efficiency and reduces data duplication.
Automatically creates a business-friendly semantic layer, defining business terms and mapping them to underlying technical data for easier understanding and use.
Allows users to interact with their data using natural language, enabling them to "talk to their data" and receive answers in various formats like text, tables, or dashboards.
Utilizes Stratio's AI models to automate various tasks, from transforming insights into action to automating customer service interactions and optimizing operational levels.
Automatically compiles a comprehensive and intelligent data catalog that identifies relationships between datasets, benefiting all users with AI-driven decision-making.
Built on Kubernetes, allowing for horizontal and vertical auto-scaling, which ensures optimal performance and resource utilization.
Features a distributed architecture that imposes no limits on data volume or processing speed, ensuring high scalability for growing needs.
Offers the flexibility to deploy the solution anywhere, including any public cloud, private cloud, or on-premises environment.
Designed with a focus on usability, ensuring that users can easily interact with and leverage the advanced technology.
Employs transparent pay-per-use and pay-per-core pricing models, making costs simple to understand and manage.
Helps manage statutory, regulatory, and financial reporting while ensuring strict data privacy compliance with standards like GDPR, PII, and PCI.
Supports the rapid migration of existing data lakes and other data assets into public cloud environments.
Provides a reliable and governed foundation for building reporting, virtualization, ETLs (Extract, Transform, Load), data classification, predictions, MLOps, and Test Data Management (TDM).
Combines data virtualization and data ingestion in a single architecture to cover all data scenarios, including batch, near real-time (NRT), informational, and operational use cases for both structured and unstructured data.
Enables organizations to decouple and reduce the number of legacy systems while ensuring critical business applications remain functional.
Supports various generative AI applications such as creating chatbots, Q&A systems, summarizing text, and generating expert recommendations from data.
Facilitates secure access to highly accurate data through natural language, significantly reducing the time required to process complex data requests (from weeks to minutes).
Helps remove data silos and effortlessly combines structured and unstructured datasets from all storage locations to provide richer and more comprehensive responses to user queries.
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Stratio Data Fabric is a data management platform from Stratio that supports the automation and acceleration of data discovery and data virtualization. It combines artificial intelligence capabilities, comprehensive data governance, and real-time data integration so organizations can effectively manage their data assets. This platform enables users to access insights faster while ensuring compliance and data quality. Stratio Data Fabric also allows for scalable data architecture and facilitates collaboration across teams by providing a unified view of data resources. Key capabilities: AI-driven data discovery data virtualization comprehensive data governance real-time data integration scalable architecture Best for: organizations that need efficient data management and analytics solutions.
Does Stratio Data Fabric have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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