Elastic Observability vs Google Cloud's operations suite (formerly Stackdriver) comparison

Elastic and Google are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #11 with an average rating of 9.0, while Google is ranked #28 with an average rating of 10.0. Elastic holds a 1.7% mindshare in APM, compared to Google’s 0.9% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

11,402 Views
7,525 Comparison Views

88% willing to recommend

Google Cloud's operations s...

Read 10 Google Cloud's operations suite (formerly Stackdriver) reviews

4,559 Views
2,963 Comparison Views

100% willing to recommend

Elastic Observability

Google Cloud's operations s...

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

Google Cloud's operations suite and Elastic Observability compete in cloud monitoring and observability. Elastic Observability slightly outperforms in terms of overall feature functionality and long-term ROI.

Features: Google Cloud's operations suite offers integrated logging, monitoring, and debugging tools for a unified cloud infrastructure management solution. Elastic Observability provides advanced analytics, extensive ecosystem support, and robust data integration capabilities.

Room for Improvement: Google Cloud's operations suite could enhance scalability and intuitive configuration. Feedback indicates a need for better documentation and user support for Elastic Observability. Elastic requires less critical enhancements, favoring deployment scalability.

Ease of Deployment and Customer Service: Google Cloud's operations suite is straightforward to deploy, backed by strong customer service. Elastic Observability also offers easy deployment but needs more technical expertise, receiving mixed reviews for customer service.

Pricing and ROI: Google Cloud's operations suite is seen as cost-effective with a good ROI, though users suggest more transparent pricing. Elastic Observability has a higher upfront cost but delivers superior long-term ROI, making it a preferred choice for overall value.

To learn more, read our detailed Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver) Report (Updated: July 2026).

Buyer's Guide

Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver)

July 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 Log Management

16th

Ranking in Cloud Monitoring Software

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (13th), Container Monitoring (5th)

Google Cloud's operations s...

Ranking in Application Performance Monitoring (APM) and Observability

28th

Ranking in Log Management

26th

Ranking in Cloud Monitoring Software

16th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.7%, down from 4.8% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.1% 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	1.7%
Google Cloud's operations suite (formerly Stackdriver)	0.9%
Other	97.4%

Application Performance Monitoring (APM) and Observability

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

Anand_Patel

Senior Technical Architect at T-Systems International GmbH

Offers reliable Ops Agent and logging transport feature with easy third-party integrations

As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or Big Query can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings. It has default integration for all gcp services. recently managed Prometheus support gives more flexibility to organizations to remain connected with their current Prometheus setup. We leveraged integrated FinOps Hub for recommendations for our workloads and server configurations, helpd us lot in order to get maximum TCO.

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 tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"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."

"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."

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

"The customizable dashboards in Elastic Observability allow us to group relevant data to specific aspects of our solution, giving us around 20 interlinked dashboards which provide an overview, and if one aspect shows weird behavior, we can focus on that specific aspect of our software with a dedicated dashboard."

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

"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."

"The very positive features are the cost effectiveness and the range of things that you can implement."

More Elastic Observability pros

"The solution has improved our organization by reducing latency and also monitoring the costs of GCP usage by using the logging and monitoring features."

"We find the solution to be stable."

"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."

"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."

"It's easy to use."

"It has reduced the amount of time that we would take for troubleshooting."

"The cloud login enables us to get our logs from the different platforms that we currently use."

"Provides visibility into the performance uptime."

More Google Cloud's operations suite (formerly Stackdriver) pros

Cons

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."

"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 cost must be made more transparent."

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

"When opening tickets, we cannot use our team mailbox."

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

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

"Simplifying the parsing of logs and manual efforts would also be beneficial."

More Elastic Observability cons

"The logging functionality could be better."

"It could be more stable."

"Google Stackdriver is a stable product, but there is some lagging we cannot stop."

"It could be even more automated."

"Lacking sufficient operations documentation."

"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it."

"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."

"The product provides minimal metrics that are insufficient."

More Google Cloud's operations suite (formerly Stackdriver) cons

Pricing and Cost Advice

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

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

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

"The price of Elastic Observability is expensive."

"The product’s pricing needs improvement."

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

"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."

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

More Elastic Observability pricing and cost advice

"We have a basic standard license without any additional costs."

"The cost could be lower."

"The cost of using Stackdriver depends on usage."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing Company

Government

Financial Services Firm

12%

Construction Company

12%

Comms Service Provider

Computer Software 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	2
Midsize Enterprise	1
Large Enterprise	9

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 your experience regarding pricing and costs for Google Stackdriver?

As Ops Suite, is a google product which effectively comes at zero setup cost, in order to manage your on-premises logs on onsite, it involves negligible cost for using ops agent and it also include...

See all answers

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Product Reports

Buyer's Guide

Elastic Observability

August 2026

Download Elastic Observability product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Google Cloud's operations suite (formerly Stackdriver) report

Download Google Cloud's operations suite (formerly Stackdriver) product report

Also Known As

No data available

Google Stackdriver, Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring

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

Google Cloud's operations suite is a comprehensive toolset offering multi-cloud support, insights into performance, uptime, health, and scalable logging for seamless cloud operations.

This suite by Google Cloud provides robust features for organizations managing workloads on GCP and AWS. It offers real-time logging and monitoring, aiding in efficient troubleshooting and performance analysis. With automatic monitoring, statistical insights for Kubernetes and VPNs, and the ability to manage logs, it helps in optimizing technology changes and supports risk management. Despite needs for better APM, cost clarity, migration tools, and enhanced documentation, companies benefit from its capabilities in tracking errors and analyzing metrics in execution environments.

What are the key features of Google Cloud's operations suite?

Multi-cloud Integration: Seamless support for GCP and AWS environments.
Performance Visibility: Insights into system health and uptime.
Scalable Logging: Efficient log management and export capabilities.
User-friendly Interface: Intuitive interaction for easy monitoring configuration.

What benefits and ROI can be expected from Google Cloud's operations suite?

Enhanced Monitoring: Real-time updates facilitate swift response to performance issues.
Efficient Troubleshooting: Detailed log analysis helps resolve code issues quickly.
Performance Analysis: Dashboards support engineering load testing and SLA monitoring.

Industries utilizing Google Cloud's operations suite find it invaluable for optimizing cloud operations, especially in sectors involving extensive database requests and workload execution. Java and Python teams leverage its logging and alert capabilities for improved error tracking and metrics analysis, crucial for maintaining high-performance standards in tech-driven environments.

Google

Sample Customers

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

Uber, Batterii, Q42, Dovetail Games

Buyer's Guide

Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver)

July 2026

Free Report: Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver)

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