Compare Graylog and Logz.io 
Graylog vs Logz.io
When assessing the two solutions, reviewers found Logz.io easier to use, set up, and administer. Reviewers also preferred doing business with Logz.io overall.
- Reviewers felt that Logz.io meets the needs of their business better than Graylog.
- When comparing quality of ongoing product support, reviewers felt that Logz.io is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Logz.io over Graylog.
- AI-based copilot: The Logz.io AI Agent delivers natural language querying, dashboard recommendations and in-app guidance
- Lightning fast queries: Quickly identify and debug issues, with smart search, auto-complete, quick filters, or Lucene-based queries
- Powerful dashboarding: Fully customizable and deeply contextual with advanced tables, graphs, detailed views and grouping by field
Flexibility, tweakability. It is easy to fit your needs.
I'm not a big fan of products that use other products (elasticsearch) and is dependent on a very complex infrastructure (linux). I guess we should have used docker containers right from the start, but as it is right now (with a virtual Linux server) it's a...
I know what it takes to build a reliable ELK stack. It takes time, money and expertise. Even using the Amazon ready-made elasticsearch stack costs money and still requires expertise and a learning curve. Logz.io made it possible for me to hardly invest any...
Interface is sometimes intuitive. focusing on single customer, filtering and trying to slice and dice is sometimes puzzling.
Flexibility, tweakability. It is easy to fit your needs.
I know what it takes to build a reliable ELK stack. It takes time, money and expertise. Even using the Amazon ready-made elasticsearch stack costs money and still requires expertise and a learning curve. Logz.io made it possible for me to hardly invest any...
I'm not a big fan of products that use other products (elasticsearch) and is dependent on a very complex infrastructure (linux). I guess we should have used docker containers right from the start, but as it is right now (with a virtual Linux server) it's a...
Interface is sometimes intuitive. focusing on single customer, filtering and trying to slice and dice is sometimes puzzling.
