A data sharing tool allows businesses to share live and secure data with their business. This enables teams to solve a variety of crucial business challenges, such as breaking down silos, accelerating project completion, empowering collaboration with data transparency, and unlocking new insights.
Enterprise IT applications are expanding, and reliable solutions for real-time data exchange are crucial to achieve business goals. From website visitor behavior to the signals from IoT devices in your office or power plant, the volume of data is growing exponentially, and generating an equally large number of data integrations.
Many of these integrations are driven by a desire to enhance efficiency, performance, or revenue streams. The biggest challenge is to move these massive volumes of data, on scale from source to destination without sacrificing its value. The conventional approaches, such as SFTP, pre-signed object store URLs and data movement using ETL processes, don’t scale to the volumes of data needed and are only applicable to a single vendor solution (e.g., Oracle, AWS Redshift, Snowflake).
There are several solutions that could help with the issues of sharing real-time data. Particularly, a category of platforms that can comprehend the data they manage and act as a trusted intermediary between applications can help to alleviate a number of these issues. This shifts the burden of managing data flows onto the platform provider. It also speeds up and make data integration easier by removing the complex retry-and-retransmission features that are inherent in many traditional tools.
