A data sharing tool enables businesses to share secure, real-time data with their entire ecosystem. This helps teams solve important business issues like breaking down silos and accelerating the time to complete projects. It also empowers collaboration through transparency in data and opens up new insights.
As enterprise IT applications increase and become more complex, the need for solutions for real-time sharing of data has become a necessity for achieving business objectives. From the behaviour of visitors to the signals coming from IoT devices in your workplace or power plant, the amount of data is increasing exponentially and generating an equally huge number of data integrations.
Many of these integrations were driven by the desire to improve the efficiency of analytics and revenue streams. The main challenge is to transfer massive amounts of data from source to destination in a scalable manner without losing their value. The traditional Read More Here approaches, such as SFTP and pre-signed URLs for objects and data movement via ETL processes, don’t scale to the volumes of data needed and can only be applied to a single solution from a single vendor (e.g., Oracle, AWS Redshift, Snowflake).
To address the challenges of real-time data sharing, there are a variety of solutions that are emerging. A specific class of platforms, which understand the data they hold and serve as trusted intermediaries between apps can ease some of these problems. This shifts the burden of managing data flows to the platform provider and could speed up and simplify data integration by getting rid of the many complicated Retry and Re-Transmission features that are built into many traditional tools.