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

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Comparison Buyer's Guide
Executive Summary
Updated on Jun 28, 2023

We performed a comparison between Elastic Observability and Google Cloud's operations suite (formerly Stackdriver) based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: Elastic Observability's setup process can be more complex depending on the environment, and may require a dedicated team and multiple cluster configuration. On the other hand, Google Cloud's operations suite setup is generally easy and straightforward.
  • Features: Elastic Observability has machine learning and custom development options, while Google Cloud's operations suite has impressive cloud logging and scalability. Both are user-friendly, but Elastic Observability is more flexible and economical.
  • Pricing: Elastic Observability's setup cost is not fixed and depends on license and usage, while Google Cloud's operations suite has received mixed opinions about its pricing and licensing. Elastic Observability provides open source components and has tiered pricing options, whereas some users find Google Cloud's pricing to be unclear.
  • Service and Support: Elastic Observability offers excellent customer support through its dedicated tech support and online community which is highly praised by its customers. On the other hand, Google Cloud's operations suite also has good technical support but some users depend on their own DevOps team and don't have access to customer service interactions.
  • ROI: Elastic Observability is an affordable option that can decrease incidents and increase visibility for users. It also includes simple data compression and management features. On the other hand, Google Cloud's operations suite has received positive reviews for its return on investment.

Comparison Results: Elastic Observability is a more comprehensive option with machine learning and custom development, but has a steeper learning curve. Google Cloud's operations suite is praised for its user-friendliness, scalability, and stability, but has mixed opinions on pricing. Elastic Observability is a more economical option for application performance monitoring.

765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The architecture and system's stability are simple.""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.""For full stack observability, Elastic is the best tool compared with any other tool .""The solution has been stable in our usage.""The price is very less expensive compared to the other solutions.""The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization.""Good design and easy to use once implemented.""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."

More Elastic Observability Pros →

"Provides visibility into the performance uptime.""The cloud login enables us to get our logs from the different platforms that we currently use.""I like the monitoring feature.""Google's technical support is very good.""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.""We find the solution to be stable.""It's easy to use."

More Google Cloud's operations suite (formerly Stackdriver) Pros →

Cons
"More web features could be added to the product.""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 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.""Elastic Observability needs to improve the retrieval of logs and metrics from all the instances.""Elastic Observability’s price could be improved.""Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low.""Elastic Observability needs to have better standardization, logging, and schema.""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 →

"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana.""If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver.""Lacking sufficient operations documentation.""It could be more stable.""It could be even more automated.""It is difficult to estimate in advance how much something is going to cost.""The logging functionality could be better.""While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."

More Google Cloud's operations suite (formerly Stackdriver) Cons →

Pricing and Cost Advice
  • "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."
  • "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."
  • "The price of Elastic Observability is expensive."
  • "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."
  • "We will buy a premium license after POC."
  • More Elastic Observability Pricing and Cost Advice →

  • "The cost of using Stackdriver depends on usage."
  • "The cost could be lower."
  • "We have a basic standard license without any additional costs."
  • More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →

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    765,234 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization.
    Top Answer:I rate the pricing a five out of ten. The product is not that cheap.
    Top Answer:Elastic Observability needs to have better standardization, logging, and schema.
    Top Answer:It could be even more automated. For instance, the moment you deploy something, the monitoring can be there for everything. You will just have to launch or click the console in the morning, and then… more »
    Ranking
    Views
    12,578
    Comparisons
    10,372
    Reviews
    16
    Average Words per Review
    455
    Rating
    7.8
    Views
    4,091
    Comparisons
    3,703
    Reviews
    5
    Average Words per Review
    274
    Rating
    7.8
    Comparisons
    Also Known As
    Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
    Learn More
    Overview
    To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together application, infrastructure, and user data into a unified solution for end-to-end observability and alerting.
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights.

    Real-time log management and analysis

    Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.

    Built-in metrics observability at scale

    Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.

    Stand-alone managed service for running and scaling Prometheus

    Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.

    Monitor and improve your application's performance

    Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.

    Sample Customers
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Uber, Batterii, Q42, Dovetail Games
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Comms Service Provider9%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company15%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Comms Service Provider29%
    Financial Services Firm29%
    Energy/Utilities Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company8%
    Comms Service Provider8%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    REVIEWERS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise14%
    Large Enterprise70%
    Buyer's Guide
    Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver)
    March 2024
    Find out what your peers are saying about Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 21st in Application Performance Monitoring (APM) and Observability with 9 reviews. Elastic Observability is rated 7.8, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Datadog and Sentry, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Grafana and Dynatrace. See our Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver) report.

    See our list of best Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Cloud Monitoring Software vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.