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

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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.

771,170 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 solution has been stable in our usage.""Its diverse set of features available on the cloud is of significant importance.""It's easy to deploy, and it's very flexible.""The solution allows us to dig deep into data.""The most valuable feature of Elastic Observability is the text search.""The architecture and system's stability are simple.""The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes.""I have built a mini business intelligence system based on Elastic Observability."

More Elastic Observability Pros →

"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well.""Google's technical support is very good.""I like the monitoring feature.""Provides visibility into the performance uptime.""We find the solution to be stable.""It's easy to use.""The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS.""The cloud login enables us to get our logs from the different platforms that we currently use."

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

Cons
"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.""Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial.""There is room for improvement regarding its APM capabilities.""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’s price could be improved.""There's a steep learning curve if you've never used this solution before.""More web features could be added to the product."

More Elastic Observability Cons →

"Lacking sufficient operations documentation.""It is difficult to estimate in advance how much something is going to cost.""The product provides minimal metrics that are insufficient.""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.""It could be more stable.""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.""It could be even more automated."

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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    Questions from the Community
    Top Answer: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… more »
    Top Answer:I rate the pricing a five out of ten. The product is not that cheap.
    Top Answer: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… more »
    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
    12,565
    Comparisons
    10,451
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Views
    3,836
    Comparisons
    3,436
    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 Firm19%
    Computer Software Company15%
    Manufacturing Company9%
    Retailer6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    REVIEWERS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise70%
    Buyer's Guide
    Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver)
    May 2024
    Find out what your peers are saying about Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: May 2024.
    771,170 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 27th 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, Azure Monitor and Sentry, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Grafana Loki. 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.