Belkasoft X Forensic vs Dagobert

Belkasoft X Forensic acquires, analyzes, and reports digital evidence from computers, mobile devices, RAM, cars, drones, and cloud sources. Its acquisition options include DD/E01 imaging, iOS checkm8 and agent-based acquisition, and several Android methods. Analysis features include timeline and connection graph views, SQLite recovery, hash-set analysis, file carving, and picture and video analysis. The software can examine UFED and GrayKey images, virtual machines, Amazon S3-based images, Berla car exports, and data from services including Google Drive, iCloud, Microsoft 365, WhatsApp, and Telegram. Reports can be produced in formats such as HTML, XML, CSV, PDF, Excel, Word, ProjectVIC JSON, and Relativity Short Message Format. Colleagues can view shared findings with the free Evidence Reader, whether or not X Forensic is installed. The product is self-hosted and offered to government customers only. Its license is perpetual, with optional annual software maintenance and support; pricing is provided by quote. A 30-day trial requires internet access. Trial reports contain half of randomly selected artifacts, and several acquisition, decryption, virtual-machine, and command-line automation features are excluded. The company describes it as suited to digital forensic laboratories at federal and state-level law-enforcement agencies.

Dagobert is a free, MIT-licensed workspace for digital forensics and incident response investigations. Teams can keep multiple cases in separate workspaces with role-based, per-case access managed in the interface. Records cover timelines, assets, indicators, evidence, malware, tasks, notes and comments, with CSV import and export. A cross-case dashboard includes a MITRE ATT&CK heatmap, unified timeline, evidence and indicator tracking, and a lateral-movement graph. Reports are generated from supplied Word, Excel or Calc, Writer, and Impress templates in DOCX, ODS, ODT and ODP formats. Background jobs can process evidence with Hayabusa, Zircolite, Chainsaw, Plaso and Dissect. Indicator enrichment can query VirusTotal, AbuseIPDB and Hybrid Analysis, while timelines exchange with Timesketch. Hooks trigger automations on record changes. An authenticated read-only MCP endpoint exposes case data. Local accounts and OIDC are supported. The project is a Go binary backed by SQLite, with Docker self-hosting instructions.