Google Cloud's operations suite (formerly Stackdriver) vs Graylog comparison

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Executive Summary

We performed a comparison between Google Cloud's operations suite (formerly Stackdriver) and Graylog based on real PeerSpot user reviews.

Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Google Cloud's operations suite (formerly Stackdriver) vs. Graylog Report (Updated: April 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports.""The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS.""We find the solution to be stable.""Provides visibility into the performance uptime.""Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well.""It's easy to use.""The cloud login enables us to get our logs from the different platforms that we currently use.""I like the monitoring feature."

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"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events.""The build is stable and requires little maintenance, even compared to some extremely expensive products.""We have scaled from a single machine installation (a VM with a Graylog + ES + MongoDB) to (2 Graylog + 2 ES + 3 MongoDB). This was done smoothly with a minimal impact on logging.""Message forwarding through the in-built module.""Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature.""Real-time UDP/GELF logging and full text-based searching.""The best feature of Graylog is the Elasticsearch integration. We can integrate and we can run filters, such as an event of interest, and those logs we can send to any SIEM tool or as an analytic. Additionally, there are clear and well-documented implementation instructions on their website to follow if needed.""One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."

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Cons
"It is difficult to estimate in advance how much something is going to cost.""This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana.""While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace.""The process of logging analytics can be improved""Lacking sufficient operations documentation.""It could be more stable.""The product provides minimal metrics that are insufficient.""The logging functionality could be better."

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"Dashboards, stream alerts and parsing could be improved.""We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient.""Its scalability gets complicated when we have to update or edit multiple nodes.""Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-""Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous.""It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community.""I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second.""Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."

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Pricing and Cost Advice
  • "The cost of using Stackdriver depends on usage."
  • "The cost could be lower."
  • "We have a basic standard license without any additional costs."
  • More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →

  • "Having paid official support is wise for projects."
  • "I am using a community edition. I have not looked at the enterprise offering from Graylog."
  • "If you want something that works and do not have the money for Splunk or QRadar, take Graylog.​​"
  • "​You get a lot out-of-the-box with the non-enterprise version, so give it a try first."
  • "Consider Enterprise support if you have atypical needs or setup requirements.​"
  • "I use the free version of Graylog."
  • "It's an open-source solution that can be used free of charge."
  • "We're using the Community edition."
  • More Graylog Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It could be even more automated. For instance, the moment you deploy something, the monitoring can be there for everything. You will just have to launch or click the console in the morning, and then… more »
    Top Answer:The product is scalable. The solution is stable.
    Top Answer:We are using the free version of the product. However, the paid version is expensive.
    Top Answer:Since it's a free tool, I don't have much to say. Troubleshooting is important to me. The initial setup is complex. I hope to see improvements in Graylog for more interactivity, user-friendliness, and… more »
    Ranking
    25th
    out of 95 in Log Management
    Views
    1,973
    Comparisons
    1,761
    Reviews
    6
    Average Words per Review
    353
    Rating
    7.8
    11th
    out of 95 in Log Management
    Views
    10,115
    Comparisons
    8,549
    Reviews
    6
    Average Words per Review
    802
    Rating
    7.3
    Comparisons
    Also Known As
    Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
    Graylog2
    Learn More
    Overview

    Real-time log management and analysis

    Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.

    Built-in metrics observability at scale

    Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.

    Stand-alone managed service for running and scaling Prometheus

    Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.

    Monitor and improve your application's performance

    Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.

    Graylog is purpose-built to deliver the best log collection, storage, enrichment, and analysis. Graylog is:

    • Considerably faster analysis speeds.
    • More robust and easier-to-use analysis platform.
    • Simpler administration and infrastructure management.
    • Lower cost than alternatives.
    • Full-scale customer service.
    • No expensive training or tool experts required.
    Sample Customers
    Uber, Batterii, Q42, Dovetail Games
    Blue Cross Blue Shield, eBay, Cisco, LinkedIn, SAP, King.com, Twilio, Deutsche Presse-Agentur
    Top Industries
    REVIEWERS
    Comms Service Provider29%
    Financial Services Firm29%
    Energy/Utilities Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company16%
    Manufacturing Company9%
    Retailer7%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Comms Service Provider10%
    Government8%
    Educational Organization7%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise69%
    REVIEWERS
    Small Business50%
    Midsize Enterprise7%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business33%
    Midsize Enterprise18%
    Large Enterprise49%
    Buyer's Guide
    Google Cloud's operations suite (formerly Stackdriver) vs. Graylog
    April 2024
    Find out what your peers are saying about Google Cloud's operations suite (formerly Stackdriver) vs. Graylog and other solutions. Updated: April 2024.
    772,679 professionals have used our research since 2012.

    Google Cloud's operations suite (formerly Stackdriver) is ranked 25th in Log Management with 10 reviews while Graylog is ranked 11th in Log Management with 18 reviews. Google Cloud's operations suite (formerly Stackdriver) is rated 8.0, while Graylog is rated 8.0. The top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". On the other hand, the top reviewer of Graylog writes "Great detailed search features and easy Java integration, but needs improvement in integration with Python". Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, New Relic and Amazon CloudWatch, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Fortinet FortiAnalyzer and Splunk Enterprise Security. See our Google Cloud's operations suite (formerly Stackdriver) vs. Graylog report.

    See our list of best Log Management vendors.

    We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.