Datadog vs New Relic vs Vector

Datadog
Datadog

1.9K
638
694
New Relic
New Relic

6.5K
466
1.9K
Vector
Vector

5
0
0
- No public GitHub repository available -
- No public GitHub repository available -

What is Datadog?

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

What is New Relic?

New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.

What is Vector?

Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Datadog?
Why do developers choose New Relic?
Why do developers choose Vector?
    Be the first to leave a pro
    What are the cons of using Datadog?
    What are the cons of using New Relic?
    What are the cons of using Vector?
      Be the first to leave a con
      What companies use Datadog?
      What companies use New Relic?
      What companies use Vector?
      What are some alternatives to Datadog, New Relic, and Vector?
      Splunk
      Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
      Prometheus
      Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
      Grafana
      Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
      AppDynamics
      AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
      Sentry
      Sentry is an open-source platform for workflow productivity, aggregating errors from across the stack in real time. 500K developers use Sentry to get the code-level context they need to resolve issues at every stage of the app lifecycle.
      See all alternatives
      What tools integrate with Datadog?
      What tools integrate with New Relic?
      What tools integrate with Vector?
        No integrations found
        Decisions about Datadog, New Relic, and Vector
        No stack decisions found
        Interest over time
        Reviews of Datadog, New Relic, and Vector
        Review ofDatadogDatadog

        Background

        We're a real-time financial services messaging company, so being able to monitor our servers and applications in real-time is important to us. We also like a good deal, so $15/server seemed a bargain.

        What were we looking for?

        We wanted to monitor our MS infrastructure (servers, SQL) and apps (C#) to understand performance issues and be able to rectify. We also want to be able to do long-term trending. And we wanted to go from nothing to live in a short time.

        Experience

        Installing the Datadog agent on the servers was a breeze and enabling the integrations for SQL and Windows trivial.

        Using the StatsD based API was also very easy - no worrying about JSON or UDP calls. The ability to add tags to all metrics is also a key benefit. We run multiple (100+) instances of a single application and being able to distinguish events from each one via tagging, or to see aggregates, is extremely useful.

        In all it took 2 days R&D to instrument our key applications sufficiently for production deployment. Deploying the agent to our production servers took 30 mins, giving our Ops team complete visibility for the 1st time.

        What have we learned

        Since we've been live Datadog has given us numerous insights into the way our system behaves, from uneven server loadings and sporadic memory usage to performance tuning a key application that resulted in a 50% increase in throughput. Knowing what's taking the time has been a boon.

        Continuous evolution

        The other nice surprise has been the evolving nature of Datadog. It seems like every couple of weeks there's a new feature on the site.

        Other points

        • I like the transparent pricing. Services that won't show me the price without having to talk to a sales person are really annoying.
        • Support has been good. We've contacted them several times with questions and always had a quick response (time zone considered...we're in London) and a helpful answer.

        So What's bad?

        Probably the weakest aspect at the moment is the long term trending of data. Whilst you can wind the time bar back to see what happened last week you can't ask questions like "show me the peak period each day for the last x months". The "get data" API is also fairly weak. Neither are concerns at the moment, and I'm sure they're on the to-do list.

        Review ofDatadogDatadog

        I've been a systems administrator most of my career. Everywhere I went, I'd have to rebuild the same monitoring + graphing system. And then make sure that every machine wrote to that system and every application handed up the proper metrics through whatever mechanism seemed good at the time.

        Then, as CTO of SimpleReach, single-handedly managing over 200 servers in addition to everything else, I found Datadog. We were already using statsd to instrument our applications, now it was just a matter of getting that data to Datadog. We use Chef, so I installed the Datadog agent on every machine in about 10 minutes and we were up and running.

        The best part was that we had a deploy problem the next day with one of our main applications and troubleshooting took minutes instead of hours (and Datadog immediately paid for itself). Now no new features go out without instrumentation and no machine gets created without being monitored.

        Datadog just scales with us. Great service and I highly recommend it to anyone not looking to reinvent the wheel with monitoring and instrumentation.

        Review ofDatadogDatadog

        Datadog makes running a service with 800,000 unique users a month possible as a single developer/maintainer. I bought a separate monitor just to keep my datadog dashboards always visible and rely on triggers to keep watch over 20+ servers.

        Highly recommended.

        Review ofDatadogDatadog

        We use datadog to monitor our servers and some application metrics. Easy to get started and scale to many servers. Datadog support engineers are always quick to respond to bugs and other challenges.

        How developers use Datadog, New Relic, and Vector
        Avatar of StackShare
        StackShare uses New RelicNew Relic

        Free Heroku add-on. Not particularly useful for us. Rails profilers tend to do a better job at the app level. And I can never really figure out what’s going on with Heroku by looking at New Relic. I don’t know if we’re just not using New Relic correctly or if it really does just suck for our use case. But I guess some insight is better than none.

        Avatar of MaxCDN
        MaxCDN uses New RelicNew Relic

        How do you know what parts of the workflow need improvement? Measure it. With New Relic in place, we have graphs of our API performance and can directly see if a server or zone is causing trouble, and the impact of our changes. There’s no comparison between a real-time performance graph and “Strange, the site seems slow, I should tail the logs”.

        Avatar of DigitalPermits
        DigitalPermits uses DatadogDatadog

        We just started looking into Datadog, but from what we see, it's like New Relic meets Loggly. It's really easy to plugin different services (like the one on this list) and get detailed analysis of what is happening on your servers and services. It makes tracking down sparse and difficult to understand problems possible.

        Avatar of Kalibrr
        Kalibrr uses New RelicNew Relic

        We monitor and troubleshoot our app's performance using New Relic, which gives us a great view into each type of request that hits our servers. It also gives us a nice weekly summary of error rates and response times so that we know how well we've done in the past week.

        Avatar of Sail Tactics
        Sail Tactics uses DatadogDatadog

        Monitoring day-to-day operations of multiple high-performance computing assets distributed across several networks. Monitoring vendor provided data and setting up alerts when things do not show up on time.

        Avatar of AngeloR
        AngeloR uses DatadogDatadog

        Datadog was used as an agent for monitoring and as for the statsd daemon included. This way we are able to have automated system stats and include whatever other metrics we want to track.

        Avatar of Steve Paulo
        Steve Paulo uses New RelicNew Relic

        I'm trying to wring more instrumentation out of New Relic as it pertains to Rack, but for the time being, New Relic is monitoring/alerting uptime and some basic performance metrics.

        Avatar of Jeff Flynn
        Jeff Flynn uses New RelicNew Relic

        Just like we care about errors, we care about metrics - especially around performance. You'd be crazy not to use it - and not surprisingly, it's a one-click add-on in Heroku.

        Avatar of Dynamictivity
        Dynamictivity uses DatadogDatadog

        Datadog is used because it has a great free tier and it provides us with great insights and integrations into our infrastructure and tools.

        Avatar of Flux Work
        Flux Work uses DatadogDatadog

        Powerful all-in-one monitoring solution as a service. Good integration with AWS. Very affordable price for small-scale startups.

        How much does Datadog cost?
        How much does New Relic cost?
        How much does Vector cost?
        Pricing unavailable
        News about Vector
        More news