Stratio Data Fabric

Additional features

AI-Powered Data Unification

Automatically unifies data from all diverse sources, whether on-premises or across various cloud environments, providing a single, consistent view.

Automated Data Enhancement

Leverages AI to automatically improve data quality, bolster security, and enrich the business context of your data, reducing manual effort and errors.

Composable & Modular Architecture

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.

Automated Data Management Processes

Automates a significant portion (up to 80%) of routine data management tasks, including discovery, cataloging, integration, and governance workflows.

Actionable Data Governance

Enables robust and active data governance through features like automatic mapping with technical data and a semantic layer, ensuring data is managed effectively.

Granular Security Controls

Provides fine-grained security, allowing precise control over who can access specific data assets and systems, enhancing data protection.

Accelerated Data Product Development

Speeds up the creation of new data products by providing a unified, governed, and easily accessible data foundation.

Faster ML Model Development

Facilitates quicker development and deployment of machine learning models by providing streamlined access to quality data.

Accelerated Generative AI Adoption

Promotes the rapid integration and utilization of generative AI capabilities within the enterprise.

Non-Intrusive Data Virtualization

Accesses data directly at its source through virtualization, eliminating the need to move or replicate data, which improves efficiency and reduces data duplication.

Semantic Layer Generation

Automatically creates a business-friendly semantic layer, defining business terms and mapping them to underlying technical data for easier understanding and use.

Natural Language Query (NLQ)

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.

AI-Powered Automation

Utilizes Stratio's AI models to automate various tasks, from transforming insights into action to automating customer service interactions and optimizing operational levels.

Comprehensive Data Catalog

Automatically compiles a comprehensive and intelligent data catalog that identifies relationships between datasets, benefiting all users with AI-driven decision-making.

Kubernetes-based Optimization

Built on Kubernetes, allowing for horizontal and vertical auto-scaling, which ensures optimal performance and resource utilization.

Distributed & Scalable Technology

Features a distributed architecture that imposes no limits on data volume or processing speed, ensuring high scalability for growing needs.

Multi-Cloud & Open Deployment

Offers the flexibility to deploy the solution anywhere, including any public cloud, private cloud, or on-premises environment.

User-friendly Environment

Designed with a focus on usability, ensuring that users can easily interact with and leverage the advanced technology.

Cost-Efficient Pricing

Employs transparent pay-per-use and pay-per-core pricing models, making costs simple to understand and manage.

Regulatory Compliance Management

Helps manage statutory, regulatory, and financial reporting while ensuring strict data privacy compliance with standards like GDPR, PII, and PCI.

Cloud Acceleration & Migration

Supports the rapid migration of existing data lakes and other data assets into public cloud environments.

Data Access, Analytics & BI

Provides a reliable and governed foundation for building reporting, virtualization, ETLs (Extract, Transform, Load), data classification, predictions, MLOps, and Test Data Management (TDM).

End-to-End Data Fabric Architecture

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.

Tech Stack Modernization

Enables organizations to decouple and reduce the number of legacy systems while ensuring critical business applications remain functional.

Generative AI Use Cases

Supports various generative AI applications such as creating chatbots, Q&A systems, summarizing text, and generating expert recommendations from data.

Advanced Business Intelligence

Facilitates secure access to highly accurate data through natural language, significantly reducing the time required to process complex data requests (from weeks to minutes).

Unified Data Architecture

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.