Comparisons anchored on Velociraptor, Rapid7's AGPL-3.0 endpoint visibility and digital forensics platform: against osquery and Google's GRR Rapid Response.
Two endpoint query tools compared: osquery's SQL tables compiled into the agent, which needs a third-party fleet manager, against Velociraptor's VQL artifacts with a built-in server, hunts, file collection and offline collectors. Covers licenses (Apache-2.0 or GPL-2.0 against AGPL-3.0), Velociraptor's osquery artifact, and whether a team needs continuous inventory queries or incident response collection.
Two open-source remote live forensics platforms compared: Google's Apache-2.0 GRR, a Python server with Python and new Rust agents, against Velociraptor's single Go binary with VQL artifacts and file-based storage. Covers the GRR 4.0 API and UI changes, deployment and scaling effort, licenses, and which suits an incident response team setting up endpoint forensics today.
The open-source endpoint visibility shortlist: osquery for SQL-based inventory and monitoring that needs a separate fleet manager, GRR for Google-built remote live forensics, and Velociraptor for VQL hunts, collection and offline collectors in one binary. Shows which job each covers, how GRR and Velociraptor can run osquery queries, and the licensing and operating effort of each.
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