Software Alternatives & Reviews

Narrative BI for Google Analytics VS Logz.io

Compare Narrative BI for Google Analytics VS Logz.io and see what are their differences

Narrative BI for Google Analytics logo Narrative BI for Google Analytics

Narrative BI is automated no-code analytics for your Google Analytics data.🙊 Personalized reports in natural language😻 Automated anomaly detection😇 Slack integration🏁 Fast and easy to onboard🥳 No expertise required

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!
  • Narrative BI for Google Analytics Landing page
    Landing page //
    2023-09-07
  • Logz.io Landing page
    Landing page //
    2023-10-11

Narrative BI for Google Analytics features and specs

  • insights and reports: Personalized reports in natural language
  • Artificial Intelligence: Automated anomaly detection
  • Integrations: Slack
  • Integrations: Google Analytics

Logz.io features and specs

No features have been listed yet.

Narrative BI for Google Analytics videos

Narrative BI for Google Analytics Product Tour

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 Narrative BI for Google Analytics and Logz.io)
Analytics
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Marketing
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 Narrative BI for Google Analytics and Logz.io

Narrative BI for Google Analytics Reviews

We have no reviews of Narrative BI for Google Analytics 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.

Narrative BI for Google Analytics mentions (0)

We have not tracked any mentions of Narrative BI for Google Analytics yet. Tracking of Narrative BI for Google Analytics recommendations started around Nov 2021.

Logz.io mentions (26)

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What are some alternatives?

When comparing Narrative BI for Google Analytics and Logz.io, you can also consider the following products

Baresquare - Get daily business insights and actions served up with your morning coffee using Baresquare’s scalable AI-powered analytics platform.

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

Narrative BI - Narrative BI is a no-code platform that turns your Google Analytics 4 data into actionable insights

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.

PaveAI - Turn Google Analytics into actionable insights using A.I.

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