Avrio-Data to AI Platform

Avrio provides unified access data, connecting those who want to share data with those that wish to consume data. Users can easily create, maintain, and share data products within a domain oriented environment in a consistent, secure and governed manner. Notably, Avrio uses Trino, a distributed SQL query engine designed for big data processing, to further enhance data accessibility and analytics capabilitiesaAccelerate your journey from Data to AI on AWS

Avrio is now available on the AWS Marketplace, providing organizations with a streamlined and secure pathway to leverage the platform's capabilities.

Simplify billing and deployment while reducing your time to insights through the AWS marketplace. Leverage free, Trianz developed, connectors available from AWS.

Avrio is a zero-code, self-service, modern data, and analytics platform. Focused on breaking down data silos, the platform integrates and packages enterprise and third-party sources to deliver data as a product in a Netflix-like marketplace.

AI needs good data to function, and projects will struggle to scale without strategies that provide easy access to trusted data. Avrio provides the bridge that enables stakeholders to collaborate around governance and access, delivering Data to AI.

Designed to form the foundation of your modern data strategy and AI initiatives, Avrio shifts data access from one off data projects to data products that are 100% reusable, reducing redundant integration projects while fostering a stronger data culture across your organization.

Core capabilities

1. Reusable self-serve data products: Build data products in the data product foundry and publish them in the data product marketplace. a. Leverage connectors to access data stored in databases or SaaS applications anywhere in your organization. b. A high-performance federated data query engine enables access to multiple databases with a single query in real-time. c. Build queries using the Gen AI powered plain-text query feature to write SQL queries with no code. d. Publish data products to the marketplace or directly to BI and ML tools for self-service by data consumers.
2. Integrated metadata management: Manage all your metadata from a central platform to support cross-domain data discovery. a. The robust data catalog lists data assets across your organization and data profiling lets analysts sample them. b. The Gen AI driven data classification features and business glossary enhance data usability by helping to map descriptive metadata to common business terms.
3. Fine-grained data governance: Elevate governance through role-based and attribute based access controls. Mask data at the row and column level and manage access by groups of users.