A data sharing tool enables companies to share secure, live data with their entire ecosystem. This enables teams to tackle important business issues like breaking down silos and accelerating the time to complete projects. It also enhances collaboration by ensuring data transparency and provides new insights.
As enterprise IT applications expand, the need for robust solutions to real-time data sharing has become a requirement for achieving business outcomes. From the behaviour of visitors to the signals generated by IoT devices in your office or power plant, the volume of data is increasing exponentially, and generating an equally huge number of data integrations.
Many of these integrations are driven by the need to improve efficiency, analytics and revenue streams. The most difficult part is to transfer massive amounts of data from source to destination at a scale without damaging their value. The traditional methods like SFTP, pre-signed URLs for object stores and data movement via 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 a myriad of solutions that can assist in addressing the challenges of sharing real-time data. A specific class of platforms, that understand the data they hold and serve as trusted intermediaries between various applications can ease some of these issues. This shifts the burden of managing data flows onto the platform provider. It also speeds up and simplify data integraiton by removing the complicated retry and retransmission features inherent to many traditional tools.