Software Alternatives, Accelerators & Startups

Exago VS Logz.io

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

Exago logo Exago

Embedded BI for SaaS

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!
  • Exago Landing page
    Landing page //
    2023-10-10

Exago BI, a business intelligence solution specializing in ad hoc reporting, is designed for integration with SaaS applications. Its open API and fully customizable CSS facilitate seamless, 100% web-based embedding with no downloads or plugins required. Host applications can leverage the solution’s open API and fully customizable CSS to decide which BI elements to expose to which users, adding coded extensions to expand on the application’s out-of-box functionality. The software offers business users embedded reporting and dashboard design, complete with diagnostic analytics tools like drilldowns, conditional formatting, and interactive filtering.

  • Logz.io Landing page
    Landing page //
    2023-10-11

Exago

$ Details
paid Free Trial
Platforms
Windows Linux Firefox Google Chrome REST API Cloud .Net Edge
Release Date
-

Logz.io

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

Exago videos

Why Exago

More videos:

  • Demo - Exago Demonstration

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 Exago and Logz.io)
Data Dashboard
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Analytics
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 Exago and Logz.io

Exago Reviews

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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.

Exago mentions (0)

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

Logz.io mentions (26)

View more

What are some alternatives?

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

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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

Histats - Start tracking your visitors in 1 minute!

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.

AFSAnalytics - AFSAnalytics.

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