A data sharing tool allows businesses to share secure, live data with their ecosystem. This helps teams solve a variety of crucial business cases, including breaking down silos, accelerating project completion, encouraging collaboration with data transparency, and uncovering new insights.
Enterprise IT applications are growing and reliable solutions for real-time data exchange have become crucial to achieve business goals. The volume of data generated by IoT devices, office equipment and website visitors is growing exponentially.
Many of these integrations are driven by the desire to increase efficiency, performance, or revenue streams. The biggest challenge is to transfer these huge volumes of data, on scale from source to destination without sacrificing its value. The standard approaches include SFTP, pre-signed URLs of objects stored in the store and data movement via ETL processes, don’t scale to the volume of data required and are only try here applicable to a single vendor’s solution (e.g., Oracle, AWS Redshift, Snowflake).
There are several solutions that could help with the challenges of sharing real-time data. A specific class of platforms, that understand the data they hold and act as trusted intermediaries between applications, can help alleviate some of these issues. This shifts the responsibility of managing data flows to the platform provider. It can speed up and simplify data integration by getting rid of the many complicated functions of retrying and re-transmission which are inherent to many traditional tools.
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