Tag: data connectivity

Modernization doesn't require replacing every system at once. Instead, organizations can accelerate progress by connecting existing platforms through a data and integration layer, improving visibility, interoperability and access to critical information. This incremental approach reduces risk, preserves current investments and delivers value faster while creating a scalable foundation for future modernization.

Organizations are dealing with unprecedented amounts of data, and while this data has the potential to help drive more informed business decisions and facilitate AI projects, data silos can arise and prevent companies from realizing the true potential of their data. One solution to this challenge is Microsoft Fabric, a platform that allows data from multiple different sources to be unified in a single data lake where it can be connected to different analytics and reporting tools, like Power BI.

This feature in SD Times explores how Progress’ DataDirect Autonomous REST Connector (ARC) provides an easy way for companies to build and deploy data connectors to any REST API source without needing to wait for someone in IT to set it up.

In today’s data-driven world, cloud storage is no longer optional—it’s essential. Organizations rely on platforms like Amazon S3 for durability, scalability and cost efficiency. With support for objects up to 5 TB, S3 has become the backbone for data exchange, analytics and ETL workflows. But moving large files between systems and S3 can be challenging.

The Progress DataDirect SQL Server ODBC driver demonstrates significant performance advantages in data connectivity, especially for large-scale, data-intensive analytics workloads. Rigorous benchmarks against Microsoft’s native driver and FreeTDS reveal substantial speed improvements, highlighting DataDirect’s suitability for enterprise environments demanding high speed and reliability.