A data sharing tool enables businesses to share live and secure data with their business ecosystem. This allows teams to tackle many critical business problems, such as breaking down silos, speeding the completion of projects, enabling collaboration by ensuring transparency of data, and gaining new insights.
Enterprise IT applications are growing, and robust solutions for real-time data exchange have become essential for achieving business goals. The volume of data generated by IoT devices as well as office equipment and website visitors is increasing exponentially.
Many of these integrations are motivated by the desire to improve efficiency, analytics and revenue streams. The biggest challenge is to transfer these huge amounts of data at scale from source to destination without sacrificing its value. The traditional approaches include SFTP and pre-signed URLs of objects stored in the store, and data movement through ETL processes, don’t scale to the volumes of data needed and are only applicable to a single-vendor solution (e.g., Oracle, AWS Redshift, Snowflake).
There are several solutions that could help with the issues of sharing real-time data. Particularly, a set of platforms that comprehend the data they carry here and serve as a trusted intermediary between different applications can help to alleviate a number of these issues. This shifts the responsibility of managing data flows to the platform’s provider and can accelerate and simplify data integration by eliminating the many complicated features of retry and re-transmission that are standard in traditional tools.