Elastic Observability vs Stackify comparison

Why PeerSpot?

Elastic and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #11 with an average rating of 9.0, while Stackify is ranked #62. Elastic holds a 1.6% mindshare in APM, compared to Stackify’s 0.8% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

12,194 Views
7,682 Comparison Views

88% willing to recommend

Stackify

Read 6 Stackify reviews

4,361 Views
2,311 Comparison Views

71% willing to recommend

Elastic Observability

Stackify

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Executive SummaryUpdated on Jul 24, 2024

Stackify and Elastic Observability are software products competing in the observability category. While users report that Stackify is praised for its support and pricing, Elastic Observability is preferred for its robust features, despite a higher cost.

Features: Stackify provides simplicity, effective error monitoring, and easy setup. Elastic Observability offers advanced scalability, customizable dashboards, and extensive feature sets.

Room for Improvement: Stackify needs better logging capabilities, more integrations, and enhanced core functionalities. Elastic Observability could improve ease of use, performance optimization, and overall usability.

Ease of Deployment and Customer Service: Stackify is known for its straightforward deployment process and responsive customer support. Elastic Observability has a more complex deployment, but comprehensive documentation helps ease the process. Customer service comparisons indicate Stackify provides quicker resolution times.

Pricing and ROI: Stackify offers competitive pricing with a quick ROI. Elastic Observability is more expensive, but users find that its extensive features justify the investment. While Stackify is cost-effective, Elastic Observability's feature-rich offering presents a strong ROI over time.

To learn more, read our detailed Elastic Observability vs. Stackify Report (Updated: September 2026).

Buyer's Guide

Elastic Observability vs. Stackify

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 Observability

Ranking in Application Performance Monitoring (APM) and Observability

11th

Ranking in IT Infrastructure Monitoring

13th

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Container Monitoring (5th), Cloud Monitoring Software (12th)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

62nd

Ranking in IT Infrastructure Monitoring

68th

Ranking in Log Management

56th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.6%, down from 3.9% compared to the previous year. The mindshare of Stackify is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.6%
Stackify	0.8%
Other	97.6%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Stefan Decuypere

Technology Consultant at Hybrid software

Real-time dashboards and visual insights have streamlined issue analysis and monitoring

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, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, 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.

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Moses Arigbede

Head of DevOps at Partsimony

Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

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 allows us to dig deep into data."

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

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

"The price is very less expensive compared to the other solutions."

"I think Elastic Observability is already in very good shape."

"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 over a month from multiple data sources can be completed within seconds."

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

"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."

More Elastic Observability pros

"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."

"The deployment is very fast."

"The performance dashboard and the accurate level of details are beneficial."

"What stood out to us were the metrics and granular details we received."

"We switched from New Relic and Loggly as it provides us more info at a lower price."

"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."

"It is very simple and very easy to configure."

More Stackify pros

Cons

"The interface could be improved."

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

"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."

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"I would advise others to use a different solution than Elastic APM."

"Elastic Observability’s price could be improved."

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

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

More Elastic Observability cons

"When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs."

"It should be easily scalable and configurable in different instances."

"Another improvement would be the agent memory utilization, which led to our recent reevaluation."

"I'm looking to see more performance tools, but heard that they are going to release some."

"The search feature could be improved."

"I would like to be able to see metrics about individual running containers on the host machines."

"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."

"Better mobile support."

More Stackify cons

Pricing and Cost Advice

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

"The price of Elastic Observability is expensive."

"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 product is not that cheap."

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

"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."

"The product’s pricing needs improvement."

More Elastic Observability pricing and cost advice

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Manufacturing Company

Construction Company

19%

Comms Service Provider

19%

Outsourcing Company

Media 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	3
Midsize Enterprise	2
Large Enterprise	2

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 ...

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What needs improvement with Elastic Observability?

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

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Comparisons

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Compared 5% of the time

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Compared 4% of the time

Grafana vs Elastic Observability

Compared 4% of the time

New Relic vs Elastic Observability

Compared 3% of the time

Datadog vs Elastic Observability

Compared 3% of the time

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New Relic vs Stackify

Compared 7% of the time

OpenText SiteScope vs Stackify

Compared 6% of the time

Dynatrace vs Stackify

Compared 6% of the time

OpenText Real User Monitoring vs Stackify

Compared 5% of the time

Splunk Enterprise Security vs Stackify

Compared 5% of the time

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Product Reports

Buyer's Guide

Elastic Observability

October 2026

Download Elastic Observability product report

Buyer's Guide

Stackify

September 2026

Download Stackify product report

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

Stackify enhances application performance monitoring with features like detailed logging and effective filtering options, integrating capabilities to eliminate the need for multiple tools, and providing rapid deployment and stable performance.

Stackify offers a comprehensive solution for business insight through custom dashboards, error monitoring, load management, and application scoring. Its ability to visualize performance by creating responsive dashboards helps connect business and technical teams. Despite its strengths, users seek improvements such as better mobile support, real-time log appearance, and Docker documentation. Enhanced Linux support and agent memory optimization are also desired, along with better visibility into container and application performance metrics. Integrating more plugins and options would make Stackify a more robust monitoring tool.

What are the key features of Stackify?

Detailed Log and Error Data: Provides in-depth traces and logs for error and data analysis.
Custom Dashboards: Offers business insights and application scoring through tailored dashboards.
Performance Metrics: Monitors application and server performance effectively.
Simple Configuration: Ensures easier setup and deployment without complexities.
Filtering Options: Enables effective management of logs and errors through filters.

What benefits should be expected from using Stackify?

Improved Performance Monitoring: Provides tools to identify root causes and enhance application and server monitoring.
Resource Management: Manages server utilization and handles resource spikes efficiently.
Proactive Alerts: Allows setting up alerts across platforms like AWS and Docker.
Log Aggregation: Compiles logs for testing and analysis to improve system performance.

Organizations across industries use Stackify for extensive application performance monitoring, particularly in testing environments. It is crucial for analyzing database calls, third-party requests, and aggregating logs. Its capabilities in monitoring across AWS and Docker environments make it especially valuable for dynamic and distributed infrastructures.

Stackify

Sample Customers

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

MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion

Buyer's Guide

Elastic Observability vs. Stackify

September 2026

Free Report: Elastic Observability vs. Stackify

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