A data sharing tool allows companies to share secure, real-time data with their community. This allows teams to solve critical business cases such as dissolving silos and speeding the process of completing projects. It also facilitates collaboration by ensuring data transparency and unlocks new insights.
Enterprise IT applications are growing, and robust solutions for real-time data exchange are vital to reach business goals. From website visitor behavior to the signals from IoT devices in your office or power plant, the volume of data is increasing exponentially and generating an equally large number of data integrations.
Many of these integrations are driven by the need to improve efficiency, analytics and revenue streams. The most important issue is how to move these massive quantities of data, at scale from source to destination without sacrificing its value. The standard approaches that are used, like SFTP, pre-signed object store URLs and data movement via ETL processes, don’t scale to the volume of data required and can only be applied to a single vendor’s solution (e.g., Oracle, AWS Redshift, Snowflake).
There are a myriad of solutions that could help with the issues of sharing real-time data. A new class of platforms that are able to comprehend the data they hold and act as trusted intermediaries between apps, can help alleviate some of these issues. This shifts the responsibility for managing data flows to the platform provider. It also helps apkdownload-free.com/data-room-service-for-prolific-performance speed up and simplify data integraiton by removing the complex retry-and-retransmission features that are inherent in many traditional tools.