Elastic Observability vs Splunk APM comparison

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Elastic Logo
12,565 views|10,451 comparisons
90% willing to recommend
Splunk Logo
856 views|577 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Elastic Observability and Splunk APM based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Elastic Observability vs. Splunk APM Report (Updated: May 2024).
771,968 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 is open-source and helps with back-end logging. It is also easy to handle.""It has always been a stable solution.""I have built a mini business intelligence system based on Elastic Observability.""The price is very less expensive compared to the other solutions.""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.""Machine learning is the most valuable feature of this solution.""The solution allows us to dig deep into data."

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"The features are pretty much ready out of the box.""I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data.""The features are pretty much ready out of the box.""The most beneficial aspect of Slunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices.""Splunk's dashboards are great.""Splunk APM has helped us to standardize logging and monitoring procedures.""The volume it handles is very good, including the number of metrics, the volume number of traces, and more.""The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."

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Cons
"There's a steep learning curve if you've never used this solution before.""Elastic Observability needs to have better standardization, logging, and schema.""Elastic Observability needs to improve the retrieval of logs and metrics from all the instances.""The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities.""Elastic Observability’s price could be improved.""In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana.""There is room for improvement regarding its APM capabilities.""The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

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"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need.""Splunk APM should include a better correlation between resources and infrastructure monitoring.""The UI enhancements could be a way to improve the solution in the future.""Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want.""Primarily, the logs in Slunk APM can be challenging to navigate and comprehend, making it difficult to understand the details within each log. Compared to other tools like LogDNA, which are more intuitive in this aspect, the logs in Slunk APM can require more effort to understand.""The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected.""We currently lack log analysis capabilities in Splunk APM.""It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."

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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 price of Slunk APM is less than some of its competitors."
  • "The pricing is reasonable."
  • "Splunk APM is a very cost-efficient solution."
  • "Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
  • More Splunk APM 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:Detectors are a powerful feature.
    Top Answer:We currently lack log analysis capabilities in Splunk APM. Implementing this functionality would be very beneficial. With log analysis, we could eliminate our dependence on Splunk Enterprise and rely… more »
    Top Answer:We use Splunk APM to monitor the performance of our applications.
    Ranking
    Views
    12,565
    Comparisons
    10,451
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Views
    856
    Comparisons
    577
    Reviews
    12
    Average Words per Review
    719
    Rating
    8.2
    Comparisons
    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.

    Splunk APM is a comprehensive application performance monitoring solution that provides real-time insights into the performance and availability of your applications. 

    It offers end-to-end visibility across the entire application stack, from the front-end user experience to the back-end infrastructure. With Splunk APM, you can proactively identify and resolve performance issues, optimize application performance, and ensure a seamless user experience. 

    Splunk APM leverages machine learning and AI-powered analytics to automatically detect anomalies and provide actionable insights. The product supports a wide range of programming languages and frameworks, making it suitable for both monolithic and microservices-based architectures. It also integrates seamlessly with other Splunk products, allowing you to correlate APM data with logs, metrics, and other operational data for a holistic view of your application environment. 

    With its intuitive interface and powerful features, Splunk APM empowers developers, operations teams, and business stakeholders to deliver high-performing applications and drive better business outcomes.

    Sample Customers
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
    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
    Financial Services Firm33%
    Computer Software Company22%
    Pharma/Biotech Company11%
    Educational Organization11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company15%
    Manufacturing Company13%
    Healthcare Company10%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise66%
    REVIEWERS
    Midsize Enterprise7%
    Large Enterprise93%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise7%
    Large Enterprise76%
    Buyer's Guide
    Elastic Observability vs. Splunk APM
    May 2024
    Find out what your peers are saying about Elastic Observability vs. Splunk APM and other solutions. Updated: May 2024.
    771,968 professionals have used our research since 2012.

    Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Splunk APM is ranked 13th in Application Performance Monitoring (APM) and Observability with 13 reviews. Elastic Observability is rated 7.8, while Splunk APM is rated 8.2. 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 Splunk APM writes "Provides great visibility, analysis, and data telemetry". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Monte Carlo, Dynatrace and Observe. See our Elastic Observability vs. Splunk APM report.

    See our list of best Application Performance Monitoring (APM) and Observability 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.