AI TOOL PROFILE
Stratio Generative AI Data Fabric
- Data and Analytics
- Data Management
- Enterprise companies
- Mid-market companies
- Data and analytics leads
- Organizations in highly regulated industries
Pricing
Pricing uses flexible pay-per-use and pay-per-core models.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Data and analytics leads, Organizations in highly regulated industries
- Key use cases
- Regulatory Compliance, Cloud Migration, Fraud Detection, Natural Language Data Analysis
- Official website
- Visit stratio data fabric official website
How AI is used
Stratio provides a modular data management platform for connecting and governing enterprise data. Using a data fabric architecture, it supports data access across various storage locations through virtualization, which means source data is not moved or replicated.
The platform is designed for organizations in regulated sectors such as banking, healthcare, and insurance. It supports various data tasks, including metadata management, data quality checks, and AI-powered analytics.
A Generative AI layer allows users to query data using natural language in over 50 languages, which may reduce the need for technical coding for certain data requests.
Buyers should confirm if their infrastructure supports Kubernetes for auto-scaling. Deployment options include AWS, Azure, Google Cloud, or on-premises.
Key Features
Data Virtualization
Provides access to and unification of data from various databases regardless of format or location without moving or replicating source data.
Natural Language Query
Uses Generative AI to let users ask business questions and receive answers in text, table, or dashboard formats in over 50 languages.
Actionable Data Governance
Includes tools for metadata management and automated data quality checks to support data accuracy and compliance.
Unified Semantic Business Layer
Matches business terms to technical tables and columns to help provide business meaning to data.
Kubernetes Auto-scaling
Supports horizontal and vertical auto-scaling for performance management across cloud or on-premises deployments.
Use Cases
Regulatory Compliance
Supports the management of statutory and financial reporting while aligning with GDPR and PCI standards.
Cloud Migration
Helps organizations migrate existing data lakes into public cloud environments.
Fraud Detection
Connects multiple data sources to help insurance and banking firms identify potential fraudulent activity.
Natural Language Data Analysis
Allows business users to extract insights using a conversational AI interface.
FAQ
What is Stratio's pricing model?
- Stratio uses flexible pricing based on usage, offering pay-per-use and pay-per-core models.
Can Stratio be deployed on-premises?
- Yes, Stratio supports deployment on-premises with Kubernetes auto-scaling, as well as on AWS, Azure, and Google Cloud.
How does the natural language query feature work?
- It uses Generative AI to allow users to ask business questions in over 50 languages and receive answers in text, tables, or dashboards.
Source category: Data & Analytics
Source subcategory: Data Management
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