A data sharing tool allows companies to share live, secure data with their business. This helps teams solve critical business cases such as dissolving silos and speeding the process of completing projects. It also improves collaboration by ensuring data transparency and provides new insights.
Enterprise IT applications are expanding and robust solutions for real-time data exchange are essential for achieving business goals. The volume of data generated by IoT devices offices, office equipment and site visitors is growing exponentially.
Many of these integrations are driven by the need to improve the efficiency of analytics, and revenue streams. The most important issue is how to move these massive amounts of data, at scale, from source to destination without losing its value. The traditional approaches include SFTP or pre-signed object store URLs and data movement using ETL processes, aren’t scalable to the data volumes needed and can only be applied to a single vendor’s solution (e.g., Oracle, AWS Redshift, Snowflake).
There are several solutions that could help with the issues of sharing real-time data. A set of platforms, that are able to comprehend the data they hold and serve as trusted intermediaries between different applications can ease some of these problems. This shifts the responsibility of managing data flows to the platform provider. It can accelerate and simplify data integration by getting rid of many of the complicated functions of retrying and re-transmission which are inherent to many traditional tools.