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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Logstash

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

    New Relic

    Score8.1 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
    91%
    Would buy again
    71 Answers
    Delivers good value for the price
    No answers on this topic
    94%
    Delivers good value for the price
    64 Answers
    Happy with the feature set
    No answers on this topic
    97%
    Happy with the feature set
    76 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    95%
    Lived up to sales and marketing promises
    55 Answers
    Implementation went as expected
    No answers on this topic
    96%
    Implementation went as expected
    68 Answers
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    LogstashNew Relic
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    Score7.8 out of 10
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    User Ratings
    LogstashNew Relic
    Likelihood to Recommend
    9.0
    (4 ratings)
    7.3
    (148 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.8
    (16 ratings)
    Usability
    9.0
    (1 ratings)
    6.7
    (14 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (2 ratings)
    Performance
    -
    (0 ratings)
    9.1
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (7 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (9 ratings)
    Configurability
    -
    (0 ratings)
    7.3
    (3 ratings)
    Ease of integration
    -
    (0 ratings)
    9.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.1
    (2 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.2
    (2 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (2 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
    New Relic its an excellent tool for monitoring services used on the SAAS universe, like web servers, relational and nosql dbms, reverse proxies, text databases, etc. Its also a powerful tool to monitor resource usage on said servers. However, its not well fitted to monitor custom services - if you need to generate alerts based on logs or database information, for example
    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
    • It gives us insights of applications, infrastructure, clouds very well.
    • The alerting system in New Relic helps us to easily identify the root cause which reduces the MTTR.
    • It has new features related to AI which helps to troubleshoot any problem in a very short time it gives future predictions also.
    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
    • And while powerful, building tailored dashboards with organ-specific metrics (such as energy load variance across regions) can be difficult to navigate. The UI isn't as drag-and-drop easy, and query-based widgets typically involve some trial and error for non-devs.
    • Alerts may be hypersensitive or over general. I We often get a spam of non-critical alerts while doing load testing, all overhauling to me alone and making it difficult to identify actual issues especially in energy systems where spikes are very common.
    • With our expanding fleet of Iot devices, the per-host pricing model is becoming expensive, quickly. More detailed billing based on microservices, or that works at sensor level, would make it more adaptable for energy platforms.
    Incentivized
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    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
    I have given this much rating as I am used New Relic in different sectors and for different use cases like its K8s monitoring, infra monitoring, full stack monitoring as compare to other tools New Relic gives data in a formatted and connected way, and also it is giving us value for money. It also launches new features day by day which helps users to track the issue very quickly. It also supports OTel integrations which is the latest trend of observability tools. thats why I had given this much rating to New Relic.
    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.
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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
    Incentivized
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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
    Data Dog has solutions that look more attractive, but not at their price point. We have also tried to build a solution straight from the Cloud, where our business is built, but some things are too hard to replicate. This shows that New Relic is useful and helps our efficiency.
    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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