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Elastic Observability vs. Selector Analytics

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Elastic Observability

    Score9 out of 10
    N/AElastic Observability, from Elastic, the makers of Elasticsearch, is a solution that aims to bring logs, metrics, and APM based on the former Opbeat (acquired by Elastic in 2017) traces together at scale in a single stack so users can monitor and react to events happening anywhere in an IT environment. It's free and open to start, and adds the Logs, Metrics, APM (formerly Opbeat), and Uptime modules to the Elastic (ELK) Stack.N/A

    Selector Analytics

    Score7 out of 10
    N/ASelector employs machine learning and NLP-driven, self-serve analytics to provide access to actionable insights. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Collect: Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may…N/A
    Pricing
    Elastic ObservabilitySelector Analytics
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Elastic ObservabilitySelector Analytics
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Best Alternatives
    Elastic ObservabilitySelector Analytics
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    Elastic ObservabilitySelector Analytics
    Likelihood to Recommend
    8.0
    (4 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Elastic ObservabilitySelector Analytics
    Likelihood to Recommend
    Elastic
    We can use this Elastic Observability in our business problems such as Creating internal/operational efficiencies issues, customer relations/service, and business process outcomes issues. This product has a lot of features for the above problems. But this product may be having some issues when charting purposes. But it can adjust for that purpose.
    Incentivized
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    Selector
    Selector Analytics has proven very useful for our SRE and DevOps teams. It addresses our concern of being able to monitor network health and gives good analytics for our needs. It also helps with problem identification quickly so that we can resolve any potential issues. Getting an idea of network health allows us to identify potential problems beforehand, and we can take measures to fix them.
    Incentivized
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    Pros
    Elastic
    • Open source code base
    • Community support
    • Is fast in processing
    Incentivized
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    Selector
    • Network Health Monitoring.
    • Realtime Actionable Insights.
    • Identifying ways to fix problems.
    Incentivized
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    Cons
    Elastic
    • Difficult to setup/maintain
    • Search pattern bar could be more user-friendly
    • Premium subscription features are very expensive
    Incentivized
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    Selector
    • Dashboard Customizations would be good to have.
    • Integration with tools such as Slack.
    Incentivized
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    Alternatives Considered
    Elastic
    Splunk is a very good product but the licensing costs are high; we utilise the best of both worlds by using both products for slightly different purposes. We put the voluminous data with simple use cases in Elastic where it doesn't cost too much and can be searched quickly while putting the less voluminous data with more complex use cases in Splunk so we can take advantage of Splunk's very comprehensive but often much slower SPL search query language
    Incentivized
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    Selector
    No answers on this topic
    Return on Investment
    Elastic
    • Cost management.
    • Good customer increment.
    • Time management.
    Incentivized
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    Selector
    • Helped us identify problems faster.
    • Insights to identify ways to prevent future problems.
    • Helps us resolve problems faster.
    • Reduced our server costs - as we know when to scale up and when to scale down.
    Incentivized
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