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A data sharing tool is a solution that allows companies to share live, secure data with their business ecosystem. This helps teams solve many critical business cases, including dissolving silos, speeding the process of completing projects, empowering collaboration with transparency of data, and gaining new insights.

As enterprise IT applications grow in complexity, the need for reliable solutions for real-time data sharing has become a necessity for achieving business objectives. From the behaviour of visitors to the signals coming from IoT devices in your office or power plant, the amount of data is increasing exponentially and generating an equally huge number of data integrations.

Many of these integrations are driven by a desire to enhance efficiency, performance, or revenue streams. The key challenge is to transfer massive amounts of data from source to destination at a scale without harming their value. The traditional approaches like SFTP and pre-signed object store URLs and data movement through 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 address the challenges of real-time data sharing, there are numerous solutions that are emerging. Particularly, a class of platforms that are aware of the data they store and act as an intermediary between different applications can help solve a lot of these issues. This shifts the burden of managing data flows to the platform provider. It can also speed up and simplify the process of integrating data by eliminating the complicated retry-and retransmission features inherent to many traditional tools.