Compare Files.com vs. HULFT IoT

6,000+ companies trust Files.com to automate and secure business critical transfers. We obsess about security, compliance, reliability, and performance so your critical business processes just work every time. Easily manage any transfer flow without writing scripts or code, and onboard workloads and partners effortlessly. We support standard file transfer protocols (FTP, SFTP, AS2) for working with external partners and also provide native apps for high performance internal transfers. As a fully Cloud-Native SaaS, there are no servers for you to buy or maintain, there is no installation required, and high availability and redundancy are built in and free. Our InfoSec Program is audited annually by Kirkpatrick Price, a leading information security CPA firm. Our audit covers the scope of the entire Files.com business (not just datacenter operations) and names Files.com specifically. Beware of smaller competitors who try to pass off someone else’s audit as their own. Technical capabilities include encryption at-rest and in-transit, four types of two-factor authentication, nine enterprise identity (SSO) integrations, configurable password and session policies, and a perfect “A+” score from Qualys SSL Labs.

HULFT IoT serves as a robust managed file transfer middleware tailored for IoT devices, effectively safeguarding against data loss in essential scenarios like payment processing, security, and monitoring. While utilizing protocols like MQTT or HTTPS for IoT data gathering demands a learning curve for users, HULFT IoT simplifies the process by requiring only the installation of its software, thus enabling swift data collection. Additionally, with the integration of DataSpider Servista, our enterprise application integration (EAI) tool, users can seamlessly connect multiple applications to the data gathered by HULFT IoT without any coding, as the setup process is entirely based on drag-and-drop functionality. A machine tool manufacturer previously conducted on-site inspections and maintenance for their customers, during which each device generated operational log data. By analyzing this data, they were able to forecast maintenance needs effectively. To enhance their operational efficiency, the company sought to implement remote monitoring of devices and schedule maintenance personnel as needed. However, the challenge arose with each device producing approximately 10GB of log data daily, complicating their data management efforts further. To address this, they recognized the necessity of a streamlined solution that could handle such vast amounts of data efficiently.