Elastic Observability vs NetApp Data Infrastructure Insights comparison

Elastic and NetApp are both solutions in the IT Infrastructure Monitoring category. Elastic is ranked #15 with an average rating of 9.0, while NetApp is ranked #46. Elastic holds a 1.4% mindshare in IM, compared to NetApp’s 1.5% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of NetApp users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

10,155 Views
4,062 Comparison Views

88% willing to recommend

NetApp Data Infrastructure ...

Read 13 NetApp Data Infrastructure Insights reviews

4,307 Views
2,972 Comparison Views

100% willing to recommend

Elastic Observability

NetApp Data Infrastructure ...

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Executive SummaryUpdated on Mar 8, 2026

NetApp Data Infrastructure Insights and Elastic Observability are competing in the domain of data infrastructure analytics and observability. While Elastic Observability is recognized for its extensive feature set providing robust capabilities, NetApp Data Infrastructure Insights holds an advantage in pricing and support satisfaction, catering to budget-conscious organizations.

Features:NetApp Data Infrastructure Insights enhances efficiency with advanced analytics for storage performance and data management. It provides seamless inventory capabilities and supports capacity assessment. Elastic Observability offers extensive log management, monitoring, and alerting features, optimizing real-time data insights. It supports visualization with customizable dashboards and integrates well with existing systems, giving a performance edge due to its breadth of features.

Room for Improvement:NetApp Data Infrastructure Insights could benefit from enhancements in network monitoring, extended vendor support for complex environments, and improved real-time data insight features. Elastic Observability might require further development in application performance monitoring, easier integration with new services without extensive custom development, and maturation of its APM features to match competitors.

Ease of Deployment and Customer Service:NetApp Data Infrastructure Insights is noted for its seamless integration within existing infrastructure, aided by responsive customer service. Elastic Observability offers flexible deployment options with comprehensive customer support, emphasizing adaptability across varied environments, which showcases its superiority in deployment flexibility.

Pricing and ROI:NetApp Data Infrastructure Insights is cost-effective, appealing to organizations seeking essential functionality at a competitive price, fostering a favorable ROI. Elastic Observability has a higher initial cost attributed to its extensive feature set but offers a more advantageous return for organizations that prioritize feature richness over cost.

To learn more, read our detailed Elastic Observability vs. NetApp Data Infrastructure Insights Report (Updated: April 2026).

Buyer's Guide

Elastic Observability vs. NetApp Data Infrastructure Insights

April 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 IT Infrastructure Monitoring

15th

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), Container Monitoring (5th)

NetApp Data Infrastructure ...

Ranking in IT Infrastructure Monitoring

46th

Ranking in Cloud Monitoring Software

24th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Cloud Migration (15th)

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 NetApp Data Infrastructure Insights is 1.5%, up from 0.2% 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%
NetApp Data Infrastructure Insights	1.5%
Other	97.1%

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

Punit Waghela

Technical Specialist at Softcell Technologies Limited

Reduces troubleshooting time and improves operational efficiency through a single console

NetApp technology, specifically NetApp Cloud Insights, has significantly impacted the way my customers do business. One customer had multiple components, such as a VMware environment, Cisco switches, NetApp storage, and backup tools. Previously, the customer had to monitor all these tools individually each morning by logging into every console to check for errors or performance issues. It used to take them about 1 or 2 hours, but after we installed NetApp Cloud Insights, the time spent was reduced to just 5 minutes with a single console where they could monitor everything. The customer can integrate their VMware servers, Cisco switches, and storage with NetApp Cloud Insights to quickly identify any problems and resolve issues efficiently, demonstrating a reduction in complexity and monitoring time. The values that NetApp Cloud Insights delivers to my customers are evident in real examples, such as an application team running their application on a single VM connected through a switch and storage. When they experience a performance issue, the VMware team needs to identify the source of the slowness, whether it's from the server, switch, or storage, which requires a time-consuming investigation of each component. Without NetApp Cloud Insights, this process is slow and stressful for both the application team and the VMware team, but with the tool, a single click allows the customer to pinpoint the issue directly, improving response times to performance problems immensely. The evolving cybersecurity landscape and the proliferation of AI highly influence my customers' technology decisions, as having NetApp storage in their environment allows them to detect ransomware attacks effectively. NetApp guarantees data recovery in case of such attacks, and here, NetApp Cloud Insights plays a crucial role; it can identify where a ransomware attack originates, allowing the IT team to respond rapidly, such as disconnecting affected devices to mitigate the damage, especially crucial when multiple users are involved.

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

"For full stack observability, Elastic is the best tool compared with any other tool ."

"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."

"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."

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

"The solution has been stable in our usage."

"The solution allows us to dig deep into data."

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

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

More Elastic Observability pros

"What it provides to us has extreme value, helping us to get the full utilization out of our investment in storage."

"The visibility and assistance with security vulnerabilities are valuable, for example last year we had an issue with log forgeries but it was easy to fix because the dashboard highlighted the issue and provided solutions."

"All our production clusters are in Cloud Insight. It provides a single pane of glass, giving us visibility into the environment, which allows us to understand if any issues are going on across any of our clusters."

"NetApp Cloud Insights helps with login monitoring and troubleshooting. Previously, if we had performance concerns or needed to interface with other groups and their products, a task that should require only one or two people turned into a six-person job."

"The solution is 98 percent stable."

"Cloud Insights' best features are visibility and the connector to move the workloads."

"One feature we appreciate the most is its ability to take snapshots, which adds an extra layer of security and allows us to protect our data effectively."

"Cloud Secure is definitely the most valuable feature and being able to see file level activity. It gives real-time alerting on possible ransomware attacks and provides file security review. It helps us to see if something abnormal is happening on the system before it's too late."

More NetApp Data Infrastructure Insights pros

Cons

"Elastic Observability needs to have better standardization, logging, and schema."

"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."

"The auto-discovery isn't nearly as good. 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."

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

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

"There's a steep learning curve if you've never used this solution before."

"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."

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

More Elastic Observability cons

"When I did need support because I was having problems with the solution, the first or the second line just didn't understand it."

"In a perfect world we would have something built, right out-of-the-box, that can identify what we call "noise," and reduce the amount of data. You're presented with so much data when you first start the data collectors. For example, it brings back a lot of change rates that happen just because of standard computing, like profile changes and that sort of thing. Being able to identify things like that and categorize them and strip it down—and it probably can do that, I just haven't gotten there yet—would be very beneficial."

"The visualization needs some improvement because there are occasional delays while the system queries information."

"There is room for improving the creating and managing or modifying of reports."

"Ease of reporting is one thing that they're trying to tackle. If you have a specific set of data you want from Cloud Insights, you can ask NetApp to help you build the reports from the ground up. The dashboards are intuitive, but finding the report you want is sometimes a challenge. If you don't have the report already loaded, pulling it in and letting it build its data can be cumbersome."

"Their pricing model needs improvement."

"Cloud Insights could offer more detail when we drill down into the Azure environment."

"Most of the time, I initially connect with entry-level support, and then I need to request a higher-tier support level, which can result in delays."

More NetApp Data Infrastructure Insights cons

Pricing and Cost Advice

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

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

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

"The product is not that cheap."

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

"We will buy a premium license after POC."

"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."

More Elastic Observability pricing and cost advice

"The licensing model could be improved. We love that you can use it for free for looking at NetApp products. You only need licenses to look at non-NetApp products, but as soon as you do that, you start utilizing licenses that actually would have been free in the public. So, there is a bit of an anomaly in the licensing model."

"The solution is expensive."

"Be aware of the capacity licensing and understand how that works, because it is based on capacity. Getting an understanding of that is the biggest thing."

"We are billed based on management units, so we can purchase units based on six months, twelve months, twenty-four months, or thirty-six months upfront or pay as you go depending on our requirements."

"The licensing is complex. The calculation depends on what you're ingesting. A terabyte of one product is not a terabyte of another product. Virtual machines don't equate so easily. It's all about the end-use managed units and having an easy place to reference how far those units go."

"The solution's pricing is based on the device you purchase and includes support services."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Government

Manufacturing Company

14%

Computer Software Company

12%

Financial Services Firm

Energy/Utilities 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
Midsize Enterprise	5
Large Enterprise	8

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 needs improvement with NetApp Cloud Insights?

In my opinion, one area where NetApp Cloud Insights could be improved for the next release is the console, which I find a bit complex. Even though I work with NetApp, it still takes time for me to ...

See all answers

What is your primary use case for NetApp Cloud Insights?

It is a monitoring and analysis tool. In our environment, we have different technologies such as VMware, Nutanix, or maybe a backup tool. Instead of monitoring them through different consoles, with...

See all answers

What advice do you have for others considering NetApp Cloud Insights?

NetApp Cloud Insights delivers significant efficiencies in addressing performance issues as experienced by an application team running on a single VM. The VMware team must methodically check each c...

See all answers

Comparisons

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Compared 11% of the time

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Compared 10% of the time

HPE OneView vs NetApp Data Infrastructure Insights

Compared 7% of the time

Grafana Enterprise Stack vs NetApp Data Infrastructure Insights

Compared 7% of the time

Instana Infrastructure Monitoring vs NetApp Data Infrastructure Insights

Compared 5% of the time

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Product Reports

Buyer's Guide

Elastic Observability

May 2026

Download Elastic Observability product report

Buyer's Guide

NetApp Data Infrastructure Insights

April 2026

NetApp Data Infrastructure Insights report

Download NetApp Data Infrastructure Insights product report

Also Known As

No data available

Cloud Insights

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

NetApp Data Infrastructure Insights delivers comprehensive capabilities like visibility, usage optimization, and real-time alerting to manage and report resource utilization efficiently.

NetApp Data Infrastructure Insights focuses on strengthening data security and enhancing performance monitoring. Its sophisticated analytics tools offer clarity on complex resource interdependencies, reducing troubleshooting times. With advanced dashboards and data visualization, users can efficiently monitor performance metrics and optimize infrastructure management. While it boasts numerous features, improvements are needed in reporting, affordability, and simplifying the interface.

What are the key features of NetApp Data Infrastructure Insights?

Visibility and Optimization: Tracks resource utilization to optimize operations.
Real-time Alerting: Provides immediate alerts for performance issues.
Advanced Analytics: Uncovers multi-tiered insights for better decision-making.
Snapshot Capabilities: Enhances security by providing recovery points.
Comprehensive Dashboards: Visualizes complex data for performance monitoring.

What benefits and ROI should users expect?

Improved Efficiency: Streamlines performance monitoring and troubleshooting.
Increased Security: Identifies vulnerabilities like ransomware threats.
Resource Optimization: Forecasts capacity needs to prevent bottlenecks.
Seamless Integration: Unifies technologies like VMware and Nutanix for cohesive management.

Organizations implementing NetApp Data Infrastructure Insights across industries can expect improved analysis capabilities and security measures. From finance to healthcare, entities rely on its ability to integrate diverse environments like virtualization or storage management, enhancing predictability and efficiency in their operations.

NetApp

Sample Customers

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

Information Not Available

Buyer's Guide

Elastic Observability vs. NetApp Data Infrastructure Insights

April 2026

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