A data sharing tool is a solution that enables businesses to share live, secure data with their business ecosystem. This helps teams solve many critical business issues, including dissolving silos, speeding the completion of projects, enabling collaboration with transparency of data, and unlocking new insights.
Enterprise IT applications are growing and reliable solutions for real-time data exchange have become crucial to achieve business goals. The amount of data generated by IoT devices, office equipment and website visitors is growing exponentially.
Many of these integrations are driven by a desire to enhance analytics performance, efficiencies, or revenue streams. The main issue is how to move these massive volumes of data, on scale from source to destination without sacrificing its value. The traditional methods like SFTP or pre-signed object store URLs and data movement through ETL processes, aren’t scalable 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 variety of solutions that can help address the challenges of sharing real-time data. In particular, a class of platforms that are aware of the data they store and act as an intermediary between applications can to alleviate a number of these issues. This shifts the responsibility of managing data flows to the platform’s provider and can accelerate and simplify data integration by removing many of the complex retry and re-transmission features which are inherent to many traditional tools.
