Software Alternatives, Accelerators & Startups

WatchGuard VS Logz.io

Compare WatchGuard VS Logz.io and see what are their differences

WatchGuard logo WatchGuard

Award-winning solutions that are easy to deploy and manage, making enterprise-grade security accessible to any organization regardless of size or expertise.

Logz.io logo Logz.io

Logz.io provides log analysis software with alerts, role-based access, unlimited scalability and free ELK apps. Index, search & visualize your log data!
  • WatchGuard Landing page
    Landing page //
    2023-05-02
  • Logz.io Landing page
    Landing page //
    2023-10-11

Logz.io

Website
logz.io
Release Date
2014 January
Startup details
Country
United States
City
Boston
Founder(s)
Asaf Yigal
Employees
250 - 499

WatchGuard videos

WatchGuard Firebox T35 and T55 Review: A Firewall Overview of Features, Benefits, & Specs

More videos:

  • Review - WatchGuard Firebox T20, T40, & T80 Review: A Firewall Overview of Features, Benefits, & Specs
  • Review - Watchguard Firebox firewall VPN router x10 x10e x15 x15e Review/Discussion web interface

Logz.io videos

Introducing Logz.io

More videos:

  • Review - Microservices Testing In the Docker Era (Logz.io) - Asaf Mesika

Category Popularity

0-100% (relative to WatchGuard and Logz.io)
Monitoring Tools
25 25%
75% 75
Firewall
100 100%
0% 0
Log Management
0 0%
100% 100
Security & Privacy
100 100%
0% 0

User comments

Share your experience with using WatchGuard and Logz.io. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare WatchGuard and Logz.io

WatchGuard Reviews

We have no reviews of WatchGuard yet.
Be the first one to post

Logz.io Reviews

Top 21 Log Management Software Tools
Logz.io uses machine-learning and predictive analytics to simplify the process of finding critical events and data generated by logs from apps, servers, and network environments. Logz.io is a SaaS platform with a cloud-based back-end that’s built with the help of ELK Stack – Elasticsearch, Logstash & Kibana. This environment provides a real-time insight of any log data that...
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
Logz.io uses machine-learning and predictive analytics to simplify the process of finding critical events and data generated by logs from apps, servers, and network environments. Logz.io is a SaaS platform with a cloud-based back-end that’s built with the help of ELK Stack – Elasticsearch, Logstash & Kibana. This environment provides a real-time insight of any log data that...
Source: stackify.com

Social recommendations and mentions

Based on our record, Logz.io seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

WatchGuard mentions (0)

We have not tracked any mentions of WatchGuard yet. Tracking of WatchGuard recommendations started around Mar 2021.

Logz.io mentions (26)

View more

What are some alternatives?

When comparing WatchGuard and Logz.io, you can also consider the following products

SonicWall - SonicWall security solutions protects your network, systems, users and data from cyber threats.

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

Comodo Firewall - Comodo Firewall Pro - Secure your system against internal attacks such as Trojan viruses /...

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Emsisoft Online Armor Firewall - Emsisoft Online Armor Firewall is a freemium online firewall protection system by the Emsisoft that is based on the own independent protection technology of the Emsisoft.

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.