Software Alternatives, Accelerators & Startups

Microsoft Cybersecurity Protection VS Logz.io

Compare Microsoft Cybersecurity Protection VS Logz.io and see what are their differences

Microsoft Cybersecurity Protection logo Microsoft Cybersecurity Protection

Our security operates at a global scale, analyzing 6.5 trillion signals a day to make our platform more adaptive, intelligent, and responsive to emerging threats.

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!
  • Microsoft Cybersecurity Protection Landing page
    Landing page //
    2023-04-11
  • 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

Microsoft Cybersecurity Protection videos

Microsoft Enterprise Mobility Suite Overview

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 Microsoft Cybersecurity Protection and Logz.io)
Business & Commerce
100 100%
0% 0
Monitoring Tools
19 19%
81% 81
CRM
100 100%
0% 0
Log Management
0 0%
100% 100

User comments

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Reviews

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

Microsoft Cybersecurity Protection Reviews

We have no reviews of Microsoft Cybersecurity Protection yet.
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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.

Microsoft Cybersecurity Protection mentions (0)

We have not tracked any mentions of Microsoft Cybersecurity Protection yet. Tracking of Microsoft Cybersecurity Protection recommendations started around Mar 2021.

Logz.io mentions (26)

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What are some alternatives?

When comparing Microsoft Cybersecurity Protection and Logz.io, you can also consider the following products

McAfee Security Services - With a global professional services organization, McAfee provides security consulting, security education, and product and solution deployment services to customers around the world.

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

OneNeck IT Solutions - OneNeck provides a comprehensive suite of enterprise-class IT solutions that are customized to fit your specific needs.

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.

Sophos Professional Services - Our IT security experts help you get the most out of Sophos technology, so you can see ROI sooner.

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