Elastic Stack vs Grafana Loki comparison

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Elastic Logo
1,277 views|1,177 comparisons
100% willing to recommend
Grafana Labs Logo
3,809 views|3,379 comparisons
91% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Elastic Stack and Grafana Loki 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 Elastic Stack vs. Grafana Loki Report (Updated: April 2024).
772,649 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
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management.""Elastic Stack is mainly used to monitor servers and APIs. It helps ensure the software's availability and sends notifications at the right time so the system is not down for a long time. The tool's stability and advanced features, such as anomaly detection, are the most valuable features. The benefit of using it is real-time monitoring.""Prior to the latest updates, data lake management was a standout feature. The hybrid capability for on-premise and cloud integration was also crucial. Now, with Elastic Defense, the agent simplifies security monitoring, making it a key asset.""The machine learning capabilities are valuable.""The solution's technical support is good...Elastic Stack offers good value for value for money based on the product's features and what they offer.""The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions.""It is a very scalable solution...I didn't face any problem with this scalability part of the solution since we only have a few pieces of equipment in our company.""The biggest strength of Elastic Stack is its brilliant archiving capabilities."

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"The most valuable features of the solution stem from the fact that it is an open-source tool that is stable and flexible.""The tool can be used in multi-cluster environments.""The solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten.""Loki also utilizes the same service discovery mechanism as used by Prometheus. So, whatever labeled metadata you see in Prometheus, you have the exact same metadata in the Loki system. Given this level of intricacy and the attempt to address these challenges, I firmly believe that Loki deserves praise for the work.""The effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data.""The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events.""I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana.""The most valuable feature of Grafana Loki is the dashboards which are really simple to create."

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Cons
"The solution is expensive, particularly the training and certification. If customers want to increase their use of Elastic Stack, they should consider reducing the cost of certification and training.""The implementation of dashboards in the solution needs to be made easier...I had some issues with the ports and configuration since it was kind of complex to implement with Docker.""When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources.""AI-enablement would be a big improvement in Elastic Stack...If there is room for an ML model in Elastic Stack, then it would be good.""Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings.""The main issue related to Elastic Stack is in the area of its licensing.""It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities.""Agent deployment is a little tough in the on-premise version."

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"The solution has shortcomings regarding security monitoring-oriented features that need improvement.""The correlation of requests is not simple in Grafana Loki and can be improved.""The solution's scalability depends on the team managing the Grafana instance.""We encountered certain limitations when it came to alerting, particularly when dealing with specific data sources.""We had a well-structured dashboard with a functional query. However, an issue arose when the Kubernetes pod restarted. The statistics from our Grafana query would reset, dropping to zero and starting anew. This was particularly noticeable with linear graphs, which are expected to show consistent growth.""There is a need for some change in the alerting types of the product. In short, a few changes in the alert area are needed due to minor shortcomings.""The product must improve its UI.""Enhancing speed could be a game-changer, and while it might vary depending on the application, it's a factor worth exploring."

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Pricing and Cost Advice
  • "I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
  • "The pricing is reasonable."
  • "It depends on the specifics, but generally, Elastic is economical for certain use cases."
  • "The product is expensive."
  • "Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
  • "We are using the open-source community version of the product."
  • "If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
  • "I rate the solution's pricing a six out of ten."
  • More Elastic Stack Pricing and Cost Advice →

  • "You can use the free version of Grafana Loki on-premises."
  • "My company doesn't need to pay for the licensing cost of the solution."
  • "We use a free version."
  • "The pricing structure varies based on the number of users; there might be specific taxes to pay for it."
  • "The solution is open source."
  • "I use the solution's open-source version. Grafana Loki is a completely free solution for me."
  • "I use the open-source version of the product."
  • "Grafana Loki is a free, open-source solution."
  • More Grafana Loki Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it… more »
    Top Answer:If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price. I don't like to compare Elastic Stack with a vendor like Fortinet, which… more »
    Top Answer:The tool's pricing can be improved.
    Top Answer:We are using Grafana Loki as a database for real-time metrics.
    Top Answer:Since we are using the open-source version of Grafana Loki, we are not paying anything for the solution.
    Top Answer:There are a few features in the solution's enterprise version that are not given in the normal basic version. Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other… more »
    Ranking
    15th
    out of 95 in Log Management
    Views
    1,277
    Comparisons
    1,177
    Reviews
    10
    Average Words per Review
    483
    Rating
    8.3
    13th
    out of 95 in Log Management
    Views
    3,809
    Comparisons
    3,379
    Reviews
    12
    Average Words per Review
    518
    Rating
    8.1
    Comparisons
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    Compared 4% of the time.
    Seq logo
    Compared 4% of the time.
    Graylog logo
    Compared 47% of the time.
    Wazuh logo
    Compared 10% of the time.
    syslog-ng logo
    Compared 8% of the time.
    Seq logo
    Compared 2% of the time.
    Learn More
    Overview

    It's comprised of Elasticsearch, Kibana, Beats, and Logstash (also known as the ELK Stack) and more. Reliably and securely take data from any source, in any format, then search, analyze, and visualize.
    Built on a foundation of free and open, Elasticsearch and Kibana pave the way for diverse use cases that start with logging and span as far as your imagination takes you. Elastic features like machine learning, security, and reporting compound that value — and since they’re made for Elastic, you'll only find them.

    Grafana Loki is a powerful log aggregation and analysis tool designed for cloud-native environments. Its primary use case is to collect, store, and search logs efficiently, enabling organizations to gain valuable insights from their log data.

    The most valuable functionality of Loki is its ability to scale horizontally, making it suitable for high-volume log data. It achieves this by utilizing a unique indexing approach called "Promtail," which efficiently indexes logs and allows for fast searching and filtering. Loki also supports log streaming in real-time, ensuring that organizations can monitor and analyze logs as they are generated.

    By centralizing logs in a single location, Loki simplifies log management and troubleshooting processes. It provides a unified view of logs from various sources, making it easier to identify and resolve issues quickly. With its powerful query language, organizations can extract meaningful information from logs, enabling them to gain insights into system performance, identify anomalies, and detect potential security threats.

    Loki's integration with Grafana, a popular open-source visualization tool, allows users to create rich dashboards and visualizations based on log data. This combination enhances the observability of systems and applications, enabling organizations to make data-driven decisions and improve overall operational efficiency.

    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Government11%
    Manufacturing Company10%
    Financial Services Firm9%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Manufacturing Company10%
    Comms Service Provider8%
    Financial Services Firm7%
    Company Size
    REVIEWERS
    Small Business58%
    Midsize Enterprise8%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise17%
    Large Enterprise54%
    REVIEWERS
    Small Business25%
    Midsize Enterprise58%
    Large Enterprise17%
    VISITORS READING REVIEWS
    Small Business32%
    Midsize Enterprise17%
    Large Enterprise51%
    Buyer's Guide
    Elastic Stack vs. Grafana Loki
    April 2024
    Find out what your peers are saying about Elastic Stack vs. Grafana Loki and other solutions. Updated: April 2024.
    772,649 professionals have used our research since 2012.

    Elastic Stack is ranked 15th in Log Management with 11 reviews while Grafana Loki is ranked 13th in Log Management with 12 reviews. Elastic Stack is rated 8.4, while Grafana Loki is rated 8.0. The top reviewer of Elastic Stack writes "A stable product that can be fine-tuned easily". On the other hand, the top reviewer of Grafana Loki writes "Effective for Logging, recovery from node failures is fast and single UI supports metrics, logs, and even tracing". Elastic Stack is most compared with Security Onion, Wazuh, Falcon LogScale, syslog-ng and Seq, whereas Grafana Loki is most compared with Graylog, Wazuh, syslog-ng, Splunk Enterprise Security and Seq. See our Elastic Stack vs. Grafana Loki 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.