A data sharing tool enables companies to share secure, live data with their ecosystem. This enables teams to solve a wide range of critical business cases, including eliminating silos, speeding up project completion, encouraging collaboration through data transparency and uncovering new insights.

Enterprise IT applications are growing, and robust solutions for real-time data exchange are crucial to achieve business goals. The amount of data generated by IoT devices as well as office equipment and website visitors is growing exponentially.

Many of these integrations were motivated by the desire to Managing files software improve efficiency, analytics, and revenue streams. The key challenge is how to move these massive amounts of data at scale, from source to destination without sacrificing its value. The traditional methods that are used, like SFTP or pre-signed URLs of objects stored in the store and data movement via ETL processes, don’t scale to the volume of data required and can only be applied to a single vendor’s solution (e.g., Oracle, AWS Redshift, Snowflake).

To tackle the issues of real-time data sharing, there are numerous solutions emerging. A set of platforms, that are able to comprehend the data they contain and serve as trusted intermediaries between various applications can ease some of these issues. This shifts the burden of managing data flows to the platform provider. It can simplify and speed up data integration by getting rid of the many complicated features of retry and re-transmission that are built into many traditional tools.