Elastic Observability vs Logz.io comparison

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Elastic Observability

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Executive SummaryUpdated on Oct 9, 2024

Logz.io and Elastic Observability are two leading products competing in the observability space. Elastic Observability seems to have the upper hand due to its robust capabilities and perceived value, offering deeper insights and versatility.

Features: Logz.io offers seamless integration, real-time alerts, and a user-friendly interface, which are its notable strengths. Elastic Observability is favored for comprehensive data ingestion, powerful analytics capabilities, and versatility, allowing users to gain detailed insights.

Room for Improvement: Logz.io requires enhancements in customization options and addressing user needs for more flexibility. Elastic Observability can improve in scaling, ensuring better documentation quality, and reducing complexity.

Ease of Deployment and Customer Service: Logz.io is praised for smooth deployment and responsive customer support, enabling quick start and effective assistance. Elastic Observability, with its advanced features, may need additional configuration yet benefits from extensive support and community resources.

Pricing and ROI: Logz.io is viewed as cost-effective with substantial ROI and lower initial setup costs. Elastic Observability may be pricier but justifies the investment with its vast feature set, offering value for users needing extensive functionality.

To learn more, read our detailed Elastic Observability vs. Logz.io Report (Updated: April 2025).

Elastic Observability vs. Logz.io

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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 Observability

Ranking in Log Management

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (7th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Logz.io

Ranking in Log Management

20th

Average Rating

8.2

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (24th)

Mindshare comparison

As of April 2025, in the Log Management category, the mindshare of Elastic Observability is 1.5%, down from 2.2% compared to the previous year. The mindshare of Logz.io is 0.4%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

Adelina Craciun

Product Owner at Swisscom

Customization enables tailored monitoring and alerting across departments

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

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Derrick Brockel

Senior Manager of Operations at a comms service provider with 10,001+ employees

The solution is a consistent logging platform that provides excellent query mechanisms

We can query a lot of data points and build dashboards. The vendor is good at adjusting their models. Most companies want us to forecast our yearly use and pay it upfront on day one. With Logz.io, we commit to use 14 TB in a year. However, they measure us every month and give us a monthly bill. Depending on our monthly usage, we pay for 14 TB divided by 12 months or a little extra. It's a little bit more like AWS. Other solutions do not do it. They want their money upfront. We really like the dashboards. We have 36 sub-accounts. Each sub-account is an app, and we could put restrictions on that app. Previously, there were capacity restrictions on the sub-accounts. If we have a sub-account of 1 TB and use only 100 GB, we waste 900 GB that day. We could not share it between sub-accounts. Now, they provide an overhead volume. We do a reserve, and any sub-account could use anything over the reserve. It utilizes our footprint better.

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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 most valuable feature of Elastic Observability is the text search."

"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."

"It's easy to deploy, and it's very flexible."

"Its diverse set of features available on the cloud is of significant importance."

"The solution is open-source and helps with back-end logging. It is also easy to handle."

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

"I have built a mini business intelligence system based on Elastic Observability."

"The architecture and system's stability are simple."

More Elastic Observability pros

"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."

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

"The query mechanism for response codes and application health is valuable."

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

"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."

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

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

"InsightOne is the main reason why we use LogMeIn. This is mostly because of log data that we are pushing tools and logs in general."

Cons

"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."

"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."

"There could be more low-code features included in the product."

"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

"There is room for improvement regarding its APM capabilities."

More Elastic Observability cons

"The price can be cheaper and they should have better monitoring."

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

"The product needs improvement from a filtering perspective."

"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."

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

"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."

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

Pricing and Cost Advice

"Since we are a huge company, Elastic Observability is an affordable solution for us."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"We have been using the open-source version."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"We will buy a premium license after POC."

"The price of Elastic Observability is expensive."

More Elastic Observability pricing and cost advice

"The product is a little expensive."

"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'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."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

15%

Manufacturing Company

Government

Computer Software Company

19%

Financial Services Firm

12%

Comms Service Provider

12%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

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

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.

What needs improvement with Elastic Observability?

Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...

What do you like most about Logz.io?

The query mechanism for response codes and application health is valuable.

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

The product is a little expensive. We're pushing 17 TB. It costs us one and a half million dollars a year.

What needs improvement with Logz.io?

Capacity planning could be a little bit of a struggle. The product must add some AI capabilities to learn from previous behaviors. Instead of us setting thresholds, the tool should learn the thresh...

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Product Reports

Elastic Observability

Download Elastic Observability product report

Download Logz.io product report

Also Known As

No data available

Logz

Overview

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.

Elastic

Logz.io is a leading cloud-native observability platform that enables engineers to use the best open source tools in the market without the complexity of operating, managing, and scaling them. Logz.io offers four products: Log Management built on ELK, Infrastructure Monitoring based on Prometheus, Distributed Tracing based on Jaeger, and an ELK-based Cloud SIEM. These are offered as fully managed, integrated cloud services designed to help engineers monitor, troubleshoot and secure their distributed cloud workloads more effectively. Engineering driven companies like Siemens, Unity and ZipRecruiter use Logz.io to simplify monitoring and security workflows, increasing developer productivity, reducing time to resolve issues, and increasing the performance and security of their mission-critical applications.

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

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

Elastic Observability vs. Logz.io