Cinchy’s Autonomous Data Fabric platform introduces a complete re-think to the ‘integration-based’ paradigm where up to 50% of the resources on IT projects are spent on integration alone. The platform combines a network-based architecture with the unique ability to decouple data from applications (“Autonomous Data”). This powerful combination renders the 40-year old paradigm of “integration” obsolete, which means what used to require half your time and energy now takes just a tiny fraction.
There are two types of individuals that use the platform. The first are end-users who are able to view and manage all data that they have been granted access through Cinchy’s Universal Data Browser. The second type is ‘Builders’ who are really the creators of the Data Fabric. Builders are responsible for building out the organization's Fabric including table schemas, establishing access controls, and building application experiences for end-users. By significantly reducing the heavy reliance on integration, Builders can produce enterprise-grade solutions in what would have taken months in weeks for an unlimited number of end-users.
Builders can leverage Cinchy as one platform to simplify solutions delivery
An Autonomous Data Fabric eliminates point-to-point integration, reducing cost and complexity (including real-time, batch, on-prem, cloud, legacy, and SaaS services) and allowing custom data-sync configurations. This drives faster time to market, lower costs and improved usability.
Once a data source is connected to your Data Fabric, its data can be used in conjunction with data from any other source on the Fabric with no further integration efforts. The more sources you connect, the more powerful and efficient your Data Fabric becomes. You can extend data on the Fabric with attributes and entirely new entities, including calculated data, derived data, AI models, and user-managed data.
Data on your Autonomous Data Fabric is protected by cellular-level access controls, data-driven entitlements, and superior data governance. This includes meta architecture, versioning, and write-specific business functions that restrict user views, such as a managed hierarchy. Owner-defined permissions are universally enforced, significantly reducing the effort of managing them at the enterprise level. You can use existing Active Directory and SSO access policies to set controls for an individual user, external system, or user-defined functions (such as approving updates row by row or using bulk approvals).
All data is automatically version-controlled and can easily be reverted to previous states. You can see changes made by users, systems, or external applications through Data Synchronization or by using a Collaboration Log.
Use the universal Data Browser to view, change, analyze, and otherwise interact with ALL data on the Fabric. Non-technical business users can manage and update data, build models, and set controls, all through an easy and intuitive UI.
Cinchy’s Autonomous Data Fabric platform features an intuitive Drag and Drop Query Builder that allows Builders to create using the Cinchy Query Language (CQL), a proprietary language specific to Cinchy’s Autonomous Data Fabric technology. All queries can be easily saved and shared, and query results automatically generate a full no-code API.
By decoupling the data from the application, our Autonomous Data Fabric lets you consolidate legacy applications to increase operational agility and reduce overhead. You can create enterprise-grade solutions using the Application SDK as quickly and easily as you would build Excel-based solutions and without the operational risk. Application SDK (React Native, Angular, and REST SDKs) lets you build custom applications for end users.
For even more flexibility, connect your Data Fabric to third-party Data Visualization tools. You’ll be able to run cross-queries against all data on the Fabric while maintaining universal access policies for users, systems, and external applications.
The more you use your Data Fabric, the more it’s capable of doing.
Any new data you add to the Fabric will work in conjunction with any previously existing data, instantly and easily. This means you can re-use data in new ways, with no time-consuming integration efforts. Teams can collaborate directly via the Fabric in real-time, allowing it to act as a central data hub while simplifying integration. Unlike traditional data architecture projects, which grow more complicated as they involve more data sources, the Autonomous Data Fabric delivers solutions faster and faster as more data is added to it.