Enterprise Data Integration
Enterprise Data Integration
Enable direct access to your core system data regardless of source or format.
What is Fabric Data Hub?
Fabric Data Hub, formerly ViaSQL, is an enterprise data integration platform that enables direct access to mainframe and distributed data using standard SQL queries. It simplifies data extraction from complex systems, eliminating the need for time-consuming legacy data management processes.
Faster Data Integration
Adaptigent’s Fabric Data Hub provides direct access to system databases, enabling teams to quickly integrate and manage enterprise data. It supports bi-directional access across mainframe and distributed systems, accelerating development of web and cloud applications.
No-Code Mainframe Access
Fabric Data Hub also allows users to access mainframe data using standard ODBC and JDBC connections. Built-in read/write conversion functions enable SQL-based access to both relational and non-relational data, eliminating the need for specialized coding or mainframe expertise.
Bi-Directional Data Integration
Fabric Data Hub enables both inbound and outbound data access between mainframe and distributed systems, including support for COBOL and PL/I applications. This allows data to move seamlessly without modifying existing code, improving availability and reducing system complexity. Bi-directional synchronization also reduces server load and improves data access performance (1).
High-Volume Data Transfer Without ETL
Fabric Data Hub supports large-scale data movement between mainframe and relational systems. It reduces or eliminates the need for traditional ETL tools when transferring data to modern data lakes and data warehouses.
Unified Data Access Across Systems
When used with Adaptive Integration Fabric, Fabric Data Hub combines direct database access with application-level data integration. Workflows can pull data from both mainframe applications and underlying data sources, enabling efficient data pipelines and exposing data through REST and SOAP APIs.
(1) Vasil, E. Medium. Bidrectional Database synchronization. Accessed 28 June 2023
Client Success
Client
Largest municipal public employee retirement system in the US
Industry
Government
Challenge
Connecting legacy applications and the mainframe to modern applications to access critical information in real-time
Solution
Adaptigent’s Fabric Data Hub
Customer Outcomes
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Real-time access to critical data
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Faster application development
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Simplified legacy data access
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Reduced reliance on mainframe expertise
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High-performance data processing
The Future of Enterprise Data Mangagement
It’s time to stop building data lakes and start building actionable data solutions. Get the information you need from any system; move it where you need it and when you need it.
Let's Connect
If you're interested in expanding your capabilities around core systems, data integrations, and legacy technology, we should talk.
Frequently Asked Questions
How can you access mainframe data without coding?
Fabric Data Hub enables direct SQL-based access to mainframe data using standard ODBC and JDBC connections. Built-in conversion functions allow users to query both relational and non-relational data without needing COBOL, PL/I, or other specialized programming skills.
How does Fabric Data Hub integrate legacy and modern systems?
Fabric Data Hub provides bi-directional data integration between mainframe and distributed systems, allowing data to move in real time without modifying existing code. It connects legacy applications with modern platforms, enabling seamless data access across environments.
Can Fabric Data Hub replace traditional ETL tools?
Yes, Fabric Data Hub reduces or eliminates the need for traditional ETL tools by enabling direct data access and high-volume data transfer between mainframe systems and modern data platforms such as data lakes and warehouses.
How does Fabric Data Hub improve application development speed?
By providing direct access to enterprise data and eliminating complex data extraction processes, Fabric Data Hub enables faster development of web, mobile, and cloud applications. Teams can quickly integrate data without building custom pipelines or modifying legacy systems.
Can Fabric Data Hub support real-time data access?
Yes, Fabric Data Hub enables real-time access to critical data across mainframe and distributed systems. This allows organizations to deliver up-to-date information to applications and users, improving decision-making and operational efficiency.