Paraben E3 Forensic Platform
7.1#1 in computer forensics softwareFrom $699 a yearAndroidiOSLinuxmacOS
VisitParaben E3 Forensic Platform vs Timesketch
Timesketch
6.1#17 in digital forensics softwareFree planFree planWebAPILinuxSelf-hosted
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| Fact | Paraben E3 Forensic Platform | Timesketch |
|---|---|---|
| Integrations | E3 supports Cellebrite XML and UFD processing, GrayKey data parsing, Passware imports, and Relativity exports including load files and RSMF. | Documented analyzer integrations include Sigma, Google Safe Browsing, BigQuery, Yeti, and HashR. |
| Purpose | The E3 Forensic Platform is a complete digital investigation solution for professionals in digital forensics, incident response, OSINT, cyber, and eDiscovery. | Timesketch is an open-source tool for collaborative forensic timeline analysis. |
| Security | E3 remote imaging uses TLS version 1.2 to protect data in transit. | The installation guide documents optional TLS setup for the web server. |
| Support | Paraben offers online support from 8 AM to 6 PM Eastern Time, email responses within 24 hours during business hours, and phone and chat support. | The project lists user and developer mailing lists and a Timesketch Slack community as resources. |
| System requirements | E3 requires Windows 10 or Windows 11 64-bit, Microsoft .NET Framework 4.6.1, at least 16 GB RAM, and an internet connection for web-license authentication. | The installation guide calls for Ubuntu 22.04 and at least 8 GB of RAM. |
Paraben E3 Forensic Platform plans
- Basic-Monthly$60 a month
- Essential-Monthly$80 a month
- Premium-Monthly$160 a month
- Professional-Monthly$320 a month
- Basic-Annual$699 a year
- Membership Essential-Annual$950 a year
Timesketch plans
- TimesketchFree
Pick Paraben E3 Forensic Platform if…
E3 is aimed at corporate, law-enforcement, government, and consulting investigators handling digital evidence. Users should check its Windows system requirements before choosing it.
Pick Timesketch if…
Timesketch suits forensic teams that need to organize and collaboratively explore timeline data. It is a fit for users prepared to deploy it with Docker on Ubuntu 22.04 and provide at least 8 GB of RAM.