A data sharing tool enables companies to share secure, real-time data with their network. This enables teams to tackle critical business cases such as dissolving silos and speeding the process of completing projects. It also empowers collaboration through data transparency and unlocks new insights.
Enterprise IT applications are growing, and robust solutions for real-time data exchange are essential to meet business objectives. The volume of data generated by IoT devices such as office equipment, computers and website visitors is increasing exponentially.
Many of these integrations are motivated by a desire to improve efficiency, performance, or revenue streams. The key challenge is to transfer massive amounts of data from source to destination in a scalable manner without sacrificing their value. The traditional approaches, such as SFTP and pre-signed URLs of objects stored in the store and data movement using ETL processes, aren’t scalable to the amount of data required 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 many solutions that are emerging. Particularly, a category of platforms that understand the data they carry and act as a trusted intermediary between different applications can help to alleviate a number 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 removing the complex retry-and-retransmission features inherent to many traditional tools.