A data sharing tool lets businesses to share secure, real-time data with their entire ecosystem. This allows teams to address important business issues like eliminating silos and accelerating the time to complete projects. It also enhances collaboration by ensuring data transparency and provides new insights.
As the number of enterprise IT applications grows and expand, the need for scalable solutions to real-time data sharing has become a requirement for realizing business goals. From website visitor behavior to the data from IoT devices in your office or power plant, the volume of data is growing exponentially and generating an equally large amount of data integrations.
Many of these integrations have been driven by the need to improve analytics, efficiencies, and revenue streams. The biggest challenge is to move these massive amounts of data at scale, from source to destination without degrading its value. The conventional approaches such as SFTP and pre-signed URLs for object stores, and data migration using ETL processes can’t scale to the volumes of data required and are only applicable to only one vendor (e.g. Oracle, AWS Redshift or Snowflake).
There are several solutions that can address the issues of sharing real-time data. Particularly, a class of platforms that understand the data they hold and act as a trusted intermediary between applications can solve a lot of these issues. This shifts the responsibility of managing data flows to the platform provider and can speed up and simplify data integration by getting rid of the many complicated functions of retrying and re-transmission that are inherent to most traditional tools.