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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Logstash

    Score8.6 out of 10
    N/AN/AN/A

    Splunk Observability Cloud

    Score8.5 out of 10
    N/ASplunk Observability Cloud aims to enable operational agility and better customer experience through real-time AI-driven streaming analytics allowing accurate alerts in seconds. It is designed to shorten MTTD and MTTR by providing real-time visibility into cloud infrastructure and services.

    $180

    per year per host

    Pricing
    LogstashSplunk Observability Cloud
    Editions & Modules
    No answers on this topic
    Infrastructure
    $15
    per month (billed annually) per host
    App & Infra
    $60
    per month (billed annually) per host
    End-to-End
    $75
    per month (billed annually) per host
    Offerings
    Pricing Offerings
    LogstashSplunk Observability Cloud
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    LogstashSplunk Observability Cloud
    Considered Both Products
    Elastic
    No answer on this topic
    Cisco
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    95%
    Would buy again
    55 Answers
    Delivers good value for the price
    No answers on this topic
    94%
    Delivers good value for the price
    48 Answers
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    57 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    97%
    Lived up to sales and marketing promises
    31 Answers
    Implementation went as expected
    No answers on this topic
    98%
    Implementation went as expected
    45 Answers
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    User Ratings
    LogstashSplunk Observability Cloud
    Likelihood to Recommend
    9.0
    (4 ratings)
    7.9
    (59 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (3 ratings)
    Usability
    9.0
    (1 ratings)
    7.6
    (18 ratings)
    Support Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    LogstashSplunk Observability Cloud
    Likelihood to Recommend
    Elastic
    Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).
    Incentivized
    Read full review
    Cisco
    Its great if you need real-time visibility across complex or regulated environments. Also strong for hybrid or multi-cloud setups where uptime, observability and fast IR are required. It’s probably overkill for smaller teams or environments that don’t have constant changes or compliance reporting needs. It's expensive and has a steep learning curve. Also, in my opinion, do not get yourself into a consumption based model. Costs can certainly get out of control quickly.
    Incentivized
    Read full review
    Pros
    Elastic
    • Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
    • Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
    • Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
    • You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.
    Incentivized
    Read full review
    Cisco
    • The first one is its Kubernetes container monitoring.
    • I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
    • The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
    • Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.
    Incentivized
    Read full review
    Cons
    Elastic
    • It is heavy i.e., intensive as of now. Need to reduce overhead to save CPU/RAM consumption
    • Need to be more Kubernetes-friendly. Should support auto-scaling and K8s observability
    • Initial configuration is still complex. A seamless config procedure is still required
    Read full review
    Cisco
    • You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
    • It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
    • I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.
    Incentivized
    Read full review
    Likelihood to Renew
    Elastic
    No answers on this topic
    Cisco
    Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net
    Incentivized
    Read full review
    Usability
    Elastic
    As I said earlier, for a production-grade OpenStack Telco cloud, Logstash brings high value in flexibility, compliance, and troubleshooting efficiency. However, this brings a higher infra & ops cost on resources, but that is not a problem in big datacenters because there is no resource crunch in terms of servers or CPU/RAM
    Read full review
    Cisco
    When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.
    Incentivized
    Read full review
    Support Rating
    Elastic
    No answers on this topic
    Cisco
    Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.
    Incentivized
    Read full review
    Implementation Rating
    Elastic
    No answers on this topic
    Cisco
    Follow a training before starting.
    Incentivized
    Read full review
    Alternatives Considered
    Elastic
    Logstash can be compared to other ETL frameworks or tools, but it is also complementary to several, for example, Kafka. I would not only suggest using Logstash when the rest of the ELK stack is available, but also for a self-hosted event collection pipeline for various searching systems such as Solr or Graylog, or even monitoring solutions built on top of Graphite or OpenTSDB.
    Incentivized
    Read full review
    Cisco
    Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights. We found other products are still in the old world view of servers and agents residing together within a single data centre, but modern apps are no longer like this.
    Incentivized
    Read full review
    Return on Investment
    Elastic
    • Positive: LogStash is OpenSource. While this should not be directly construed as Free, it's a great start towards Free. OpenSource means that while it's free to download, there are no regular patch schedules, no support from a company, no engineer you can get on the phone / email to solve a problem. You are your own Engineer. You are your own Phone Call. You are your own ticketing system.
    • Negative: Since Logstash's features are so extensive, you will often find yourself saying "I can just solve this problem better going further down / up the Stack!". This is not a BAD quality, necessarily and it really only depends on what Your Project's Aim is.
    • Positive: LogStash is a dream to configure and run. A few hours of work, and you are on your way to collecting and shipping logs to their required addresses!
    Incentivized
    Read full review
    Cisco
    • Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
    • Meets compliance requirements of security policies, audit, regulation, and forensics.
    • Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.
    Incentivized
    Read full review
    ScreenShots

    Splunk Observability Cloud Screenshots

    Screenshot of Real-time monitoring for public, private and hybrid cloud