Elastic Observability vs Zenoss Cloud comparison

Elastic and Zenoss are both solutions in the IT Infrastructure Monitoring category. Elastic is ranked #15 with an average rating of 9.0, while Zenoss is ranked #54. Elastic holds a 1.4% mindshare in IM, compared to Zenoss’s 1.1% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of Zenoss users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

10,155 Views
4,062 Comparison Views

88% willing to recommend

Zenoss Cloud

Read 8 Zenoss Cloud reviews

4,409 Views
2,028 Comparison Views

100% willing to recommend

Elastic Observability

Zenoss Cloud

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Executive SummaryUpdated on Oct 9, 2024

Zenoss Cloud and Elastic Observability compete in IT monitoring and analytics. Elastic Observability appears to have the upper hand with greater user satisfaction in features and integration flexibility.

Features: Zenoss Cloud offers real-time monitoring, a unified dashboard, and comprehensive scalability. Elastic Observability provides advanced log management, seamless data visualization, and robust data querying features.

Room for Improvement: Zenoss Cloud could enhance data analysis flexibility, improve integration breadth, and further refine monitoring capabilities. Elastic Observability may benefit from simplifying deployment, reducing technical expertise requirements, and streamlining initial configurations.

Ease of Deployment and Customer Service: Zenoss Cloud presents an intuitive deployment model and responsive customer service. Elastic Observability allows for greater customization with detailed guidance and substantial resources useful for complex environments.

Pricing and ROI: Zenoss Cloud is recognized for its competitive pricing and strong ROI through simplified solutions. Elastic Observability incurs higher initial setup costs but delivers significant ROI with extensive analytics capacity.

To learn more, read our detailed Elastic Observability vs. Zenoss Cloud Report (Updated: May 2026).

Buyer's Guide

Elastic Observability vs. Zenoss Cloud

May 2026

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Helped 893,244 peers since 2012

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 IT Infrastructure Monitoring

15th

Ranking in Container Monitoring

5th

Ranking in Cloud Monitoring Software

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), Log Management (15th)

Zenoss Cloud

Ranking in IT Infrastructure Monitoring

54th

Ranking in Container Monitoring

8th

Ranking in Cloud Monitoring Software

42nd

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Application Infrastructure (21st), Event Monitoring (13th), Network Monitoring Software (70th), Server Monitoring (26th), AIOps (26th)

Mindshare comparison

As of May 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.4%, down from 3.8% compared to the previous year. The mindshare of Zenoss Cloud is 1.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.4%
Zenoss Cloud	1.1%
Other	97.5%

IT Infrastructure Monitoring

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

Read full review

ClaudiaChen

Cloud Architect - Senior Technology Architect at Telstra

Generates close to real-time alerts so users can resolve issues, but needs more integration and public cloud monitoring features

As Zenoss Service Dynamics is more for network-centric devices and you want to monitor, for example, a server, its services, IP addresses, and interfaces, if it's a network and you're going to monitor multiple items, you'll be charged multiple times. This is what Zenoss Service Dynamics needs to improve to make sure that customers pay just one fee to monitor the entire server. What I'd like to see in Zenoss Service Dynamics in the future is a public cloud monitoring feature, particularly for the Azure public cloud. Another additional feature I'd like to see in the next release of the solution is integration with the Azure public cloud because I know that there are some services from Azure that Zenoss Service Dynamics is currently unable to monitor.

Read full review

Quotes from Members

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

Pros

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

"The product has connectors to many services."

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

"It has always been a stable solution."

"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."

"It is scalable and supports multitenancy, which is beneficial for MSPs."

"The most valued feature of Elastic is its log analytics capabilities."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

More Elastic Observability pros

"It's easy to use."

"The product offers good documentation that helps with initial training."

"Overall, it's a great solution, and I consider it to be one of the best."

"They have also accommodated many state-of-the-art technologies like Docker and ZooKeeper."

"Its Docker Container concept is mind blowing. It is the first monitoring tool which comes with Docker features."

"It is very cost-effective compared to the tools I worked with in the past."

"The custom built integration is one of the most valuable features because you can see all the especially critical items."

More Zenoss Cloud pros

Cons

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

"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 tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

"I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking."

"The only challenging aspect for new users is often writing the query language."

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

"One example is the inability to monitor very old databases with the newest version."

More Elastic Observability cons

"There is room for improvement with the administrative part. The administrative part, since they introduced Docker, etc., has become a little complex."

"There is room for improvement with the administrative part. They introduced Control Center to manage things in Zenoss 5. The services that Zenoss provides remained the same, but the administrative part, since they introduced Docker, etc., has become a little complex"

"Now it is stable, but they should design threshold parameters in percentage instead of raw values."

"It would be ideal if the product offered sound alerts."

"The AI aspect needs to improve."

"The inclusion of a feature to show a graphical view of the network would be a helpful improvement."

"The AI aspect needs to improve."

"There was a problem with Zenoss and storage monitoring."

More Zenoss Cloud cons

Pricing and Cost Advice

"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's pricing could be better for small-scale users."

"The product’s pricing needs improvement."

"The product is not that cheap."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"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."

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

"Pricing is one of those situations where the more you use it, the more you pay."

More Elastic Observability pricing and cost advice

"It depends on the customer, what he wants."

"The pricing depends on the environment, the number of services, and the size of the data center. It can go from $100,000 to a million dollars."

"It is very cost-effective compared to the tools I worked with in the past. The company is gaining a lot with respect to the cost factor. It provides agentless monitoring and in a very cheap way."

"There are additional costs you'll have to pay apart from the license fee for Zenoss Service Dynamics. I can't remember exactly how much my company is paying because I don't handle the finance part, but the cost is paid annually. On a scale of one to five, with one being the cheapest and five being the most expensive, I'm rating the solution three out of five."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Government

Manufacturing Company

Comms Service Provider

Construction Company

Manufacturing Company

Transportation Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	5

Questions from the Community

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

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

See all answers

What is your primary use case for Elastic Observability?

My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.

See all answers

What is the best network monitoring software for large enterprises?

In my experience, I worked with many monitoring software, but the one that gave me the most functionalities of a large-scale company is Zenoss, due to its ability to monitor completely hybrid and a...

See all answers

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Compared 3% of the time

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Compared 3% of the time

ScienceLogic vs Zenoss Cloud

Compared 3% of the time

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Product Reports

Buyer's Guide

Elastic Observability

May 2026

Download Elastic Observability product report

Buyer's Guide

Zenoss Cloud

April 2026

Download Zenoss Cloud product report

Also Known As

No data available

Cloud Monitoring, Zenoss Service Dynamics

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Zenoss Cloud provides a comprehensive overview of IT environments, supporting cross-cloud functionality, scalability, and robust integrations. It offers dynamic monitoring through its intuitive dashboard and supports hybrid deployments across cloud and on-premises infrastructures.

Zenoss Cloud enables users to monitor network infrastructure and operator platforms efficiently. With features like agentless monitoring and real-time alerts, Zenoss Cloud integrates seamlessly with external systems such as ITSM tools. Its flexible functionality allows for the management of both on-premises and cloud infrastructures like AWS and Azure. Users benefit from easy setup and strong technical support, although they seek enhancements in AI capabilities and simpler installation. The pricing model and complexity for beginners and storage monitoring are areas for improvement.

What are the key features of Zenoss Cloud?

Dynamic Monitoring: Enhances user experience with real-time insights.
Cross-Cloud Functionality: Supports hybrid deployments across AWS and Azure.
Agentless Monitoring: Simplifies deployment with minimal overhead.
Scalability: Grows with your network's demands.
Custom Integration: Supports notifications and alerts tailored to user requirements.

What benefits should users expect from Zenoss Cloud?

Time Efficiency: Quick setup and operation save resources.
Comprehensive Support: Extensive documentation streamlines troubleshooting.
Cost-effective Monitoring: Prevents multiple charges in server monitoring.
Enhanced User Experience: Offers seamless integration with existing IT infrastructures.

Zenoss Cloud is widely used in monitoring solutions for industries including technology and data centers. It supports direct monitoring of systems like vSphere and NetApp, making it ideal for IT operations and managed services. Integration with tools such as ServiceNow and SolarWinds aligns it with diverse IT environments.

Zenoss

Sample Customers

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

2degrees, Rackspace, State of North Dakota, El Paso Independent School District, NWN Corporation

Buyer's Guide

Elastic Observability vs. Zenoss Cloud

May 2026

Free Report: Elastic Observability vs. Zenoss Cloud

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