Compare Rocket vs. Textile Buckets

Rocket streamlines the process of collecting forensic data from iPhones and computers over the internet. The evidence files collected are seamlessly and automatically sent to either your data center or an AWS S3 bucket. Remote custodians can easily access data collection on-demand, eliminating the need for blank hard drives, specialized forensic tools, remote connections, or in-person visits. Each data collection—whether conducted in the lab, on-site, or remotely—is automatically organized and cataloged into your case by Rocket. Users can log in to a unified dashboard to view real-time updates and the progress of any collection. Additionally, the Rocket dashboard can be enhanced with case management features that allow you to oversee teams, manage tasks, track billable hours, generate client invoices, and monitor deliverables. Rocket ensures that remote data from iPhones and computers is preserved directly to your AWS S3 bucket or data center with ease. By using Rocket, you receive preserved evidence files more quickly, eliminating the hassle of shipping collection kits altogether, and thereby significantly enhancing your forensic data management capabilities.

If you have experience with cloud storage, understanding buckets will be straightforward for you. However, in contrast to conventional cloud services, buckets utilize open and decentralized protocols like IPFS and Libp2p. They can be employed to host websites, data, and applications directly from buckets. You can easily navigate your Buckets through the Hub gateway. Additionally, you can render web content within your Bucket to create a persistent website. Updates can be automatically shared on IPFS by using IPNS. Organizations can manage Buckets collaboratively, facilitating teamwork. You also have the option to establish private Buckets, allowing your app users a secure place to store their data. For long-term security and file accessibility, you can archive Bucket data on Filecoin. To initiate a Bucket in your current working directory, you first need to initialize it. This initialization can be done with an existing UnixFS DAG from the IPFS network or by interactively importing it into an existing bucket. Furthermore, you can create buckets that can be shared among all members of your organization, enhancing collaborative efforts. It's a flexible solution that caters to diverse storage needs.