A data sharing tool is a solution that allows businesses to share live and secure data with their business. This allows teams to tackle many critical business problems, such as breaking down silos, speeding the completion of projects, enabling collaboration with data transparency, and unlocking new insights.
As enterprise IT applications grow and expand, the need for scalable solutions for real-time data sharing has become a requirement for achieving business outcomes. From the behaviour of visitors to the signals coming from IoT devices in your office or power plant, the volume of data is increasing exponentially, and generating an equally large amount of data integrations.
Many of these integrations have been driven by the need to improve the efficiency of analytics and revenue streams. The most difficult part is to move huge amounts of data from source to destination at scale without damaging their value. The standard approaches, such as SFTP or pre-signed URLs for objects and data movement using ETL processes, aren’t scalable to the data volumes needed and are only applicable to a single solution from a single vendor (e.g., Oracle, AWS Redshift, Snowflake).
To tackle the issues of real-time data sharing, there are numerous solutions emerging. Particularly, a set of platforms that are aware of the data they store and act as an intermediary between different applications can help to solve many of these problems. This shifts the responsibility for managing data flows to the platform provider. It also helps speed up and simplify data integraiton by eliminating the complicated retry-and retransmission features of traditional tools.
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