A data sharing tool is a solution that allows businesses to share live and secure data with their business. This enables teams to tackle important business issues like dissolving silos and speeding the process of completing projects. It also facilitates collaboration by ensuring data transparency and unlocks new insights.

As enterprise IT applications grow in complexity, the need for reliable solutions for real-time sharing of data is a necessity in getting business results. The volume of data generated by IoT devices offices, office equipment and site visitors is growing exponentially.

Many of these integrations are motivated by a desire to improve analytics performance, efficiencies, or revenue streams. The key challenge is to move massive amounts of data from source to destination in a scalable manner without harming their value. The conventional approaches such as SFTP and pre-signed URLs for object stores, and data migration using ETL processes don't scale to the amount of data needed and are only applicable to one vendor (e.g. Oracle, AWS Redshift or Snowflake).

To tackle the issues of real-time data sharing there are a number of solutions that are emerging. A set of platforms, which are aware of the data they store and act as trusted intermediaries between applications can alleviate some of these problems. This shifts the burden of managing data flows to the platform provider. It can also accelerate and make data integration easier by removing the complicated retry and retransmission features inherent to many traditional tools.