Elastic Stack vs Logz.io comparison

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Elastic Stack

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Executive SummaryUpdated on Oct 9, 2024

Logz.io and Elastic Stack compete in log management and analysis. While Logz.io is appreciated for cost-effectiveness and user support, Elastic Stack has a robust feature set often considered worth the investment for comprehensive functionality.

Features: Logz.io offers an intuitive setup which is beneficial for users seeking simplicity. Its platform is accessible and easy to navigate. Users appreciate its straightforward integration process. Elastic Stack provides advanced search capabilities and broad integration options. It caters to users who desire extensive control and customization. Its superior functionality is frequently highlighted, especially in complex deployments.

Room for Improvement: Logz.io could improve scalability and alert precision. Some users find its simplicity limiting for larger needs. Improvement can also be made in its advanced configuration options. Elastic Stack faces criticism for its steep learning curve, which can be challenging for beginners. Its complex settings may deter users looking for quick setup. The configuration complexity is another area for enhancement.

Ease of Deployment and Customer Service: Logz.io is notable for simple deployment and responsive customer service, offering quick setup and ongoing support. Elastic Stack’s deployment is more intricate, providing flexibility that skilled users find beneficial. Both products offer valuable support, but users favor Logz.io for rapid assistance needs.

Pricing and ROI: Logz.io is preferred for its lower initial setup costs, appealing to users with budget constraints and offering clear ROI. Elastic Stack, while potentially costlier, is valued for significant long-term benefits due to its extensive features. Users agree its capabilities justify the investment despite the higher price.

To learn more, read our detailed Elastic Stack vs. Logz.io Report (Updated: September 2026).

Elastic Stack vs. Logz.io

September 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Elastic Stack

Ranking in Log Management

21st

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Logz.io

Ranking in Log Management

28th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (33rd)

Mindshare comparison

As of October 2026, in the Log Management category, the mindshare of Elastic Stack is 1.6%, down from 4.9% compared to the previous year. The mindshare of Logz.io is 1.2%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Elastic Stack	1.6%
Logz.io	1.2%
Other	97.2%

Log Management

Featured Reviews

Lakshmi Bodepu

Senior Consultant at Skillfield

Offers robust out-of-the-box integrations and streamlines logging processes effortlessly

There are improvements needed for Elastic Stack. It is mostly based on Lucene, and the heart of Elastic Stack is Lucene, which has some limitations. Anything built on top of Lucene often feels an add-on, and that includes vector databases. Elastic Stack can store vector embeddings as well and perform AI and machine learning tasks out of the box without excessive configuration. The main improvements involve increasing speed and compression capabilities; I have seen databases that claim to achieve significantly better compression. While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second. Improper mapping usually means that every document received gets indexed for all fields, which is not desired. Elastic consultants typically optimize this, but out of the box, as data volume increases, scaling becomes necessary. They are working on these improvements in new versions.

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Arkajyoti Misra

Associate Director at Husk Power Systems

AI-driven observability has reduced investigation time and now improves uptime and customer trust

As for improvements needed in Logz.io, I think cost or pricing is always a consideration, especially since I come from a startup and an Indian company, making us look for products that provide better value for money. Compared to the market, their pricing appears decent but might need reevaluation as we scale further to remain competitive. The main concern for me is pricing, as feature-wise, I believe Logz.io is on par with other tools available in the market; however, it is not as widely discussed. Their features align with offerings from Elastic Stack and other prominent tools, including functionalities available from Prometheus or Grafana, providing centralized logging and other capabilities in the UI, so while the product direction is solid, improved pricing would immensely benefit us. I believe we have covered almost everything regarding improvements needed for Logz.io.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The scripting model in Elastic Stack allows me to query logs and then put the data into Grafana."

"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."

"The tool's most powerful aspect is its search engine capability. It's a highly effective and powerful solution for searching. We use it in professional and student projects at universities, and it delivers promising results."

"The detection rules in Elastic Stack are the most valuable feature. The search capabilities are excellent and fast. As we collect logs from workstations and devices, the detection rules run on top of the logs and detect any suspicious activity, raising alerts accordingly. Integration with Elastic Stack depends on the specific integration. Elastic provides some bridging integrations that make it easy, but require custom integration. Most integrations are simple, but customization can be challenging because we need to do some parsing. There's something called Elastic Common Schema, and we need to parse the source logs to match this schema, which can be a bit challenging."

"It supports various integrations. It's open source and has excellent community support."

"Elastic Stack has made a positive impact as we can now see our logs."

"It is an excellent tool for monitoring purposes."

"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."

More Elastic Stack pros

"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."

"We use the product for log collection and monitoring."

"I can't imagine how I ever worked without it before."

"We use the tool to track the dev and production environment."

"Customer satisfaction scores before were around 60%, and now it has increased to over 75%; additionally, the uptime we had was below 99%, and now it stands at more than 99.5%, indicating we are performing much better."

"The visualizations in Kibana are the most valuable feature; it's much more convenient to have a visualization of logs, and we can see status really clearly and very fast with just a couple of clicks."

"Logz.io has impacted our organization very positively."

"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."

More Logz.io pros

Cons

"I would rate the technical support by Elastic as five or six out of ten. They should improve their response time and first-level support, particularly knowledge, which is very important for using Elasticsearch."

"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."

"Elastic Stack should be more simplified with ready-to-use widgets. Also, incorporating AI capabilities is essential as monitoring and observability tools are now adding AI features."

"Support could be improved. The error code is not helpful. We have to ask for it or pass it on to community forums."

"While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second."

"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."

"It should facilitate easier manual integration."

"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."

More Elastic Stack cons

"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."

"The product needs improvement from a filtering perspective."

"However, at this lower scale, we feel it does not deliver the expected value for the money we are paying, reiterating my concern about cost."

"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two, but they do have a lot of good alerting stuff in there already."

"Capacity planning could be a little bit of a struggle."

"The solution needs to expand its access control and make it accessible through API."

"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."

"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."

More Logz.io cons

Pricing and Cost Advice

"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."

"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."

"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."

"It depends on the specifics, but generally, Elastic is economical for certain use cases."

"I rate the solution's pricing a six out of ten."

"The pricing is reasonable."

"The product's pricing is cheaper than other solutions."

"You pay for what you need, and that is a good model. They are also quite happy to talk to you about your uses and your use case. They will even go as far as suggesting things that you don't need to do in order to save you money. At one point, I was quite surprised at how cheap it could be if we wanted it to be or how much they would help us manage our costs."

"At the time it was set up, we thought Logz.io was very reasonable for what we were getting in terms of how much time and hosting costs it was saving us, because you don't have to run the servers for it anymore."

"The tool is an open source product."

"The product is a little expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

Government

Computer Software Company

Manufacturing Company

Comms Service Provider

16%

Financial Services Firm

11%

Construction Company

10%

Manufacturing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Elastic Stack?

My experience with Elastic Stack pricing indicates that it is node-based. While I do not have complete pricing details, they are available online. If I choose Elastic Cloud, it includes licensing a...

What needs improvement with Elastic Stack?

I would like to improve Elastic Stack by addressing the current big problem we face with importing logs and log files, such as syslogs. To import these log files, we need to design the ingest pipel...

What is your primary use case for Elastic Stack?

Elastic Stack is primarily used for everything related to security, including security systems, checking the security system, and also servers and networks.

What is your experience regarding pricing and costs for Logz.io?

Organizations that start with clear logging standards and retention policies can integrate applications, cloud resources, and Kubernetes workloads early to maximize the observability benefits. They...

What needs improvement with Logz.io?

Logz.io can be improved by adding more AI-assisted root cause analysis and by improving log retention flexibility. They can also provide additional dashboard customization options. Logz.io is a ver...

What is your primary use case for Logz.io?

We have been using Logz.io for more than one year. Our main use case for Logz.io is centralized log management and observability. We collect logs from multiple applications and infrastructure compo...

Security Onion vs Elastic Stack

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Product Reports

Download Elastic Stack product report

Elastic Stack

October 2026

Download Logz.io product report

September 2026

Also Known As

No data available

Logz

Overview

Elastic Stack is a comprehensive tool for log management, observability, indexing, and security, widely adopted for managing logs, alert creation, SIEM, SOC, and threat analysis. It integrates with CloudStrike and Endpoint Security, enhancing search capabilities and Application Performance Monitoring.

Elastic Stack offers powerful solutions for logging, data storage, and visualization with Kibana. It allows MSSPs to efficiently manage security and assists companies with data analysis. It's known for its easy implementation, scalability, real-time monitoring, and extensive integrations. The open-source nature and community support add significant value, making it a popular choice across industries. While highly capable, there is a need for enhancement in dashboard implementation, data integration, and certain advanced features. Licensing, compatibility, and cost-related improvements can further elevate its efficacy.

What are the key features of Elastic Stack?

Powerful Search Capabilities: Offers robust, efficient searching across vast datasets
Scalability: Easily handles large volumes of data
Anomaly Detection: Identifies irregular patterns in data
Machine Learning: Enhances data analysis with intelligent insights
Real-Time Monitoring: Provides up-to-date monitoring of applications and systems
Extensive Integration: Supports diverse tools and solutions

What benefits should users consider?

Ease of Implementation: Quick setup and integration into existing systems
Robust Security: Comprehensive monitoring and analysis capabilities
Community Support: Ongoing improvements and guidance from a dedicated community
Hybrid Deployment: Flexibility in using both cloud and on-premise solutions

In healthcare, Elastic Stack enhances database search capabilities, aiding in patient record management and data retrieval. Managed Security Service Providers use it for comprehensive security management, integrating it with tools like firewalls and authentication systems. Companies benefit from its application in Application Performance Monitoring and its flexibility in adapting to hybrid environments.

Elastic

Logz.io provides a robust platform designed to streamline log monitoring, offering features like real-time dashboards and AI Insights. It ensures efficient management of environments such as Kubernetes, enhancing operational effectiveness and cost management.

Logz.io is built on an open-source foundation, facilitating quick setup and adaptability for users. Its real-time dashboards are accessible across multiple sub-accounts, allowing seamless scaling and integration into existing services. Log Patterns and Drop Filters improve log clarity by reducing noise, while Kibana visualizations enhance data analysis. Logz.io also supports simultaneous views of metrics and logs, optimizing Kubernetes management and improving logging efficiency. Continuous enhancements in access control, API performance, and documentation are areas for development. Improving AI capabilities and offering better data retention and update management are key focuses for future upgrades.

What are the key features of Logz.io?

Adjustable Billing: Offers flexible billing options akin to AWS.
Real-time Dashboards: Accessible across sub-accounts for better visibility.
AI-powered Insights: Enhances data analysis and alerts predictions.
Open-source Foundation: Ensures a quick setup and ease of use.
Kibana Integrations: Simplifies data visualization and analysis.

What benefits should be evaluated in reviews?

Cost Efficiency: Achieved through refined logging practices and scaling options.
Operational Visibility: Enhanced through real-time dashboards and AI insights.
Scalability: Supports efficient expansion and integration in diverse environments.
Improved System Monitoring: Simultaneous metric-log views aid in better system oversight.

Logz.io is widely used in industries for log collection, monitoring, and aggregation in environments including cloud and AWS. It's leveraged for monitoring application health, security compliance, live game observability, and server performance. Organizations utilize archived logs for issue resolution and leverage dashboards to monitor microservices, ensuring system stability in development and production environments.

Sample Customers

Information Not Available

Dish Network, The Economist, Forbes, Holler, Kenshoo, OneSpan, Siemens, Sisense, Unity, ZipRecruiter