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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Logstash

    Score8 out of 10
    N/AN/AN/A

    New Relic

    Score7.9 out of 10
    N/ANew Relic is a SaaS-based web and mobile application performance management provider for the cloud and the datacenter. They provide code-level diagnostics for dedicated infrastructures, the cloud, or hybrid environments and real time monitoring.

    $0

    No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks

    Pricing
    LogstashNew Relic
    Editions & Modules
    No answers on this topic
    Free (Forever)
    $0
    No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
    Telemetry Data Platform
    $0.25
    per month per extra GB data ingest (after first free 100GB per month)
    Incident Intelligence
    $0.50
    per month per event (after first 1000 free events per month)
    Standard
    $99
    per month per full user (after first free full user - unlimited free basic users)
    Pro
    Contact sales team
    Enterprise
    Contact sales team
    Offerings
    Pricing Offerings
    LogstashNew Relic
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    LogstashNew Relic
    Considered Both Products
    Elastic
    No answer on this topic
    New Relic
    Chose New Relic
    Elasticsearch with its Beats technology is open source and has good community support. Amazon CloudWatch is another good alternative if you are using AWS because then the metrics are right there. In fact, I like CloudWatch especially because it is mostly free for basic use and …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    92%
    Would buy again
    61 Answers
    Delivers good value for the price
    No answers on this topic
    95%
    Delivers good value for the price
    54 Answers
    Happy with the feature set
    No answers on this topic
    97%
    Happy with the feature set
    64 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    96%
    Lived up to sales and marketing promises
    47 Answers
    Implementation went as expected
    No answers on this topic
    97%
    Implementation went as expected
    58 Answers
    Best Alternatives
    LogstashNew Relic
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    SolarWinds Papertrail
    Score8.9 out of 10
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    Score8.2 out of 10
    Medium-sized Companies
    SolarWinds Kiwi Syslog Server
    Score7.5 out of 10
    Datadog
    Score8.4 out of 10
    Enterprises
    SolarWinds Loggly
    Score5.1 out of 10
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    Score9.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    LogstashNew Relic
    Likelihood to Recommend
    10.0
    (3 ratings)
    6.6
    (128 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (17 ratings)
    Usability
    -
    (0 ratings)
    8.9
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (3 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (3 ratings)
    Support Rating
    -
    (0 ratings)
    7.5
    (8 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (10 ratings)
    Configurability
    -
    (0 ratings)
    9.1
    (4 ratings)
    Ease of integration
    -
    (0 ratings)
    9.1
    (2 ratings)
    Product Scalability
    -
    (0 ratings)
    9.1
    (3 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (3 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    7.3
    (3 ratings)
    User Testimonials
    LogstashNew Relic
    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
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    New Relic
    I have used New Relic in different scenarios like monitoring my production infrastructure and applications which helps us to reduce the downtime of my applications and websites and also I have used the synthetic monitoring feature which helps to proactively monitor our websites availability. Along with this I have also used New Relic for cloud resources cost monitoring which helps to reduce my cloud cost. Also I have used mobile application monitoring which helps me to trace the sessions easily and I can easily reduce my RCA through the help of that.
    Incentivized
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    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
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    New Relic
    • New Relic APM allows us to follow up transactions across services and trace performance bottlenecks in real-time, crucial when monitoring the processing of energy loads or predictive maintenance algorithms.
    • It gives us deep visibility into our cloud servers, containers and IOT gateways, so we can catch CPU spikes or memory leaks which can impact the data we ingest from the field devices.
    • We develop custom dashboards for monitoring trends of power consumption, abnormality in sensors and API health. In conjunction with alerting, it makes sure we are fixing issues before customers even see them.
    Incentivized
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    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
    New Relic
    • Support for SQL like query with more functional features of analysis while viewing distributed tracing.
    • support for very low level specific integration from APIs to classes to functions to piece of code
    • More detailed documentation, as we faced issues while integrating for the first time.
    Incentivized
    Read full review
    Likelihood to Renew
    Elastic
    No answers on this topic
    New Relic
    The only issue that we have had with New Relic is that the price might be a little expensive for smaller companies. The amount of data you store in New Relic impacts the cost, and can get away from you if you don't work closely with the vendor. Overall though the application is top notch.
    Incentivized
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    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
    New Relic
    New Relic helps in observability setup for the critical environments and getting known about the issues and troubleshoot the applications and services. Alerts helps in knowing the abnormal state of the system and services, Dashboards are used for visualizing the key metrics and muting the unwanted notifications and dropping the extra data from the source.
    Incentivized
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    Reliability and Availability
    Elastic
    No answers on this topic
    New Relic
    Never observed an outage
    Incentivized
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    Performance
    Elastic
    No answers on this topic
    New Relic
    there are times where browser cache will cause issues that require you to clear your browser before continuing.
    Incentivized
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    Support Rating
    Elastic
    No answers on this topic
    New Relic
    The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed
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    Implementation Rating
    Elastic
    No answers on this topic
    New Relic
    It's better to start by implementing New Relic in one project and test everything. Try to follow best recommended practices and read all the official documentation. Everything seems well tested. Then, start by installing agents to the rest of your projects and keep a close look to all logs and metrics New Relic gives you.
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    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
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    New Relic
    New Relic has full stack visibility and gives us all options for observability like one stop shop. It gives you front end, backend as well synthetic monitoring capabilities. Every other feature built into one cost model (usually) which ties to data that you send, it helps you leverage all features without having to pay additional charge for feature
    Incentivized
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    Scalability
    Elastic
    No answers on this topic
    New Relic
    Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless
    Incentivized
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    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
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    New Relic
    • We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
    • We were able to identify our slowest database queries and optimize them for quicker response times.
    Incentivized
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