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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Grafana Loki

    Score8 out of 10
    N/AGrafana Logs (powered by Loki) brings together logs from applications and infrastructure in a single place. By using the exact same service discovery and label model as Prometheus, Grafana Logs can systematically guarantee logs have consistent metadata with metrics. Grafana Logs lets users send logs in any format, from any source so it’s easy to add to existing infrastructure and get up and running quickly. Leverage a wide array of clients for shipping logs like…

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    Logstash

    Score8.6 out of 10
    N/AN/AN/A
    Pricing
    Grafana LokiLogstash
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Grafana LokiLogstash
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
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    Grafana LokiLogstash
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    User Ratings
    Grafana LokiLogstash
    Likelihood to Recommend
    6.3
    (3 ratings)
    9.0
    (4 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    5.5
    (2 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Grafana LokiLogstash
    Likelihood to Recommend
    Grafana Labs
    Grafana Loki can compile data logs for easy exploration of a service and enable quick troubleshooting and error tracing for engineers who may not have deeper access. However, Loki is dependent on the service logging complexity, which, depending on the logger, may not be robust enough and limit the value offered.
    Incentivized
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    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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    Pros
    Grafana Labs
    • Access to many open-source dashboards, access to add many data-sources to gather and visualize data from.
    • Grafana Loki does well gathering of logs from various data-sources, we can also filter the logs based on our needs.
    • One stop solution for all the logs and monitoring.
    Incentivized
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    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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    Cons
    Grafana Labs
    • Learning curve is very steep
    • Longer term log insight is a challenge
    • Very easy on AWS, integration with other systems can be more of a challenge
    Incentivized
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    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
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    Usability
    Grafana Labs
    Grafana Loki makes accessing and viewing service logs easy for engineers who may not be familiar with going into service. However, useability can be limited if engineers are unaware of what the queries should look like or where in the service to direct Loki to look for logging.
    Incentivized
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    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
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    Alternatives Considered
    Grafana Labs
    First and foremost if Grafana Loki is based on CNCF open source projects so organizations can get freedom to choice to configure it at your own other main thing is Grafana Loki is totally free of cost and we can deploy it on our infrastructure. On compared with other managed services like Datadog, New Relic it is very expensive and we also don't have much control on the tools we use.
    Incentivized
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    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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    Return on Investment
    Grafana Labs
    • Company wide (realtime) insights in complex aws setup is great
    • Dashboarding options are easily set up
    Incentivized
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    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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