A data sharing tool allows companies to share live, secure data with their business. This helps teams solve important business challenges like breaking down silos and speeding up project completion. It also facilitates collaboration through transparency in data and opens up new insights.
Enterprise IT applications are growing, and robust solutions for real-time data exchange are crucial to achieve business goals. The amount of data generated by IoT devices such as office equipment, computers and website visitors is growing exponentially.
Many of these integrations are motivated by the desire to increase efficiency, performance of analytics or revenue streams. The key challenge is how to move these massive volumes of data, on scale from source to destination without losing its value. The standard approaches, such as SFTP, pre-signed object store URLs and data movement via ETL processes, aren’t scalable to the data volumes needed and can only be applied to a single-vendor solution (e.g., Oracle, AWS Redshift, Snowflake).
To address the challenges of real-time data sharing, there are numerous solutions emerging. In particular, a class of platforms that comprehend the data they store and act as a trusted intermediary between different applications can help alleviate many of these issues. This shifts the responsibility of managing data flows to the platform provider and can simplify and speed up data integration by eliminating many of the complicated functions of retrying and re-transmission that are inherent to most traditional tools.