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DataSet Platform vs Google Cloud's operations suite (formerly Stackdriver) comparison

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Buyer's Guide
Log Management
April 2024
Executive Summary

We performed a comparison between DataSet Platform and Google Cloud's operations suite (formerly Stackdriver) based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, Datadog, Wazuh and others in Log Management.
To learn more, read our detailed Log Management Report (Updated: April 2024).
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767,995 professionals have used our research since 2012.
Featured Review
Use DataSet Platform?
Darasimi Ajewole
Easy to get logs from different platforms but provides insufficient metrics
It has really been helpful in detecting, identifying, and troubleshooting issues with cloud services used in the organization.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "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
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    What do you like most about Google Stackdriver?
    Top Answer:It's easy to use.
    Read all 7 answers   →
    What is your experience regarding pricing and costs for Google Stackdriver?
    Top Answer:This is a very cheap product.
    Read all 4 answers   →
    What needs improvement with Google Stackdriver?
    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 »
    Read all 7 answers   →
    Ranking
    62nd
    out of 95 in Log Management
    Views
    161
    Comparisons
    124
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    27th
    out of 95 in Log Management
    Views
    2,218
    Comparisons
    1,979
    Reviews
    5
    Average Words per Review
    274
    Rating
    7.8
    Comparisons
    Also Known As
    Scalyr
    Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
    Learn More
    DataSet
    Video Not Available
    Google
    Overview

    All types of data. Streaming and historical. All time periods. Past and present.Unlock the ultimate live data experience.

    Speed

    Queries return in milliseconds. That’s fast. Blazing fast. Immediately query live and historical data at petabyte scale.

    Scale

    Elastically scale to infinity - and beyond. No need to rebalance nodes, manage storage, or allocate resources. Experience effortless scale.

    Cost

    Lower total cost of ownership by magnitudes. Delivered as a cloud-native service, DataSet outperforms the competition in delivering value.

    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
    CareerBuilder, ReturnPath, Grab, FanTV, Zalando, NBC Universal, Giphy, TiVo, OkCupid, Business Insider, WaveFront, Baidu
    Uber, Batterii, Q42, Dovetail Games
    Top Industries
    No Data Available
    REVIEWERS
    Comms Service Provider29%
    Financial Services Firm29%
    Energy/Utilities Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company16%
    Manufacturing Company8%
    Comms Service Provider7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise69%
    Buyer's Guide
    Log Management
    April 2024
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    DataSet Platform is ranked 62nd in Log Management while Google Cloud's operations suite (formerly Stackdriver) is ranked 27th in Log Management with 9 reviews. DataSet Platform is rated 0.0, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. 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". DataSet Platform is most compared with , whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Grafana.

    See our list of best Log Management vendors.

    We monitor all Log Management 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.