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 #26 with an average rating of 10.0. Elastic holds a 1.9% 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

10,155 Views
7,210 Comparison Views

88% willing to recommend

Google Cloud's operations s...

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

3,670 Views
2,496 Comparison Views

100% willing to recommend

Elastic Observability

Google Cloud's operations s...

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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: April 2026).

Buyer's Guide

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

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 Application Performance Monitoring (APM) and Observability

11th

Ranking in Log Management

15th

Ranking in Cloud Monitoring Software

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (15th), Container Monitoring (5th)

Google Cloud's operations s...

Ranking in Application Performance Monitoring (APM) and Observability

26th

Ranking in Log Management

23rd

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 May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.9%, down from 5.4% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.2% 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	1.9%
Google Cloud's operations suite (formerly Stackdriver)	0.9%
Other	97.2%

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."

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

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

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

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

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

"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."

"Good design and easy to use once implemented."

More Elastic Observability pros

"Google's technical support is very good."

"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."

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

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

"Google Stackdriver is all about activity."

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

"I would tell potential users that the current version is much nicer than the previous one."

"Offers a valuable logging transport feature"

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

Cons

"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."

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

"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."

"They need more skills in the market. There are not enough skills in the market."

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

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

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

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

More Elastic Observability cons

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

"It could be even more automated."

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

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

"The product provides minimal metrics that are insufficient."

"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."

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

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

Pricing and Cost Advice

"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."

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

"The product’s pricing needs improvement."

"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."

"The product is not that cheap."

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

"We will buy a premium license after POC."

More Elastic Observability pricing and cost advice

"The cost could be lower."

"The cost of using Stackdriver depends on usage."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Government

Manufacturing Company

Financial Services Firm

15%

Computer Software Company

Comms Service Provider

Construction 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	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 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

What needs improvement with Google Stackdriver?

If the errors are caught early in the interface, it would be easier for users to manage. The process of logging analytics can be improved.

See all answers

What is your primary use case for Google Stackdriver?

I use the solution for logging, defining alerts, and monitoring. Our company's Java and Python logging teams mainly use it.

See all answers

Comparisons

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Compared 5% of the time

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Compared 5% of the time

New Relic vs Elastic Observability

Compared 4% of the time

Datadog vs Elastic Observability

Compared 4% of the time

Sentry vs Elastic Observability

Compared 3% of the time

More Elastic Observability Competitors

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Compared 8% of the time

AWS X-Ray vs Google Cloud's operations suite (formerly Stackdriver)

Compared 7% of the time

Amazon CloudWatch vs Google Cloud's operations suite (formerly Stackdriver)

Compared 6% of the time

Splunk AppDynamics vs Google Cloud's operations suite (formerly Stackdriver)

Compared 4% of the time

New Relic vs Google Cloud's operations suite (formerly Stackdriver)

Compared 3% of the time

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

Product Reports

Buyer's Guide

Elastic Observability

May 2026

Download Elastic Observability product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 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)

April 2026

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

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