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

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

"The solution allows us to track performance via metrics and we're able to see where latency is happening."

"From my experience with several major customers, the most valued feature of Elastic is its log analytics capabilities."

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."

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

"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."

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

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

More Elastic Observability pros

"Google Stackdriver is all about activity."

"Offers a valuable logging transport feature"

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

"Google's technical support is very good."

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

"We find the solution to be stable."

"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."

"Provides visibility into the performance uptime."

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

Cons

"The price is the only issue in the solution. It can be made better and cheaper."

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

"The cost must be made more transparent."

"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."

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

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

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

More Elastic Observability cons

"The process of logging analytics can be improved"

"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."

"It could be even more automated."

"The logging functionality could be better."

"It is difficult to estimate in advance how much something is going to cost."

"Lacking sufficient operations documentation."

"It could be more stable."

"Operations documentation could be a bit better. It took us some time to get up and running with it."

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

Pricing and Cost Advice

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

"The price of Elastic Observability is expensive."

"We will buy a premium license after POC."

"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."

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

"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."

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

More Elastic Observability pricing and cost advice

"The cost of using Stackdriver depends on usage."

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

"The cost could be lower."

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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)

Find out what your peers are saying about Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: July 2026.

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