Datadog vs LogRocket

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Advice on Datadog and LogRocket
Farzeem Diamond Jiwani
Software Engineer at IVP · | 5 upvotes · 482.4K views
Needs advice
on
Dynatrace
Datadog
and
AppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

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Replies (1)
Maik Schröder
Recommends
Instana

Hey Farzeem, here some recent research on why INSTANA is seen superior to the vendors you have looked at initially. https://www.apmexperts.com/observability/ranking-the-observability-offerings/.

If interested you can simply play with INSTANA in our public sand-box: https://www.instana.com/getting-started-with-apm/

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Needs advice
on
Sysdig
New Relic
and
Datadog

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

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Replies (4)
Recommends
Datadog

Can't say anything to Sysdig. I clearly prefer Datadog as

  • they provide plenty of easy to "switch-on" plugins for various technologies (incl. most of AWS)
  • easy to code (python) agent plugins / api for own metrics
  • brillant dashboarding / alarms with many customization options
  • pricing is OK, there are cheaper options for specific use cases but if you want superior dashboarding / alarms I haven't seen a good competitor (despite your own Prometheus / Grafana / Kibana dog food)

IMHO NewRelic is "promising since years" ;) good ideas but bad integration between their products. Their Dashboard query language is really nice but lacks critical functions like multiple data sets or advanced calculations. Needless to say you get all of that with Datadog.

Need help setting up a monitoring / logging / alarm infrastructure? Send me a message!

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Maik Schröder
Recommends
Instana

Hi Medeti,

you are right. Building based on your stack something with open source is heavy lifting. A lot of people I know start with such a set-up, but quickly run into frustration as they need to dedicated their best people to build a monitoring which is doing the job in a professional way.

As you are microservice focussed and are looking for 'low implementation and maintenance effort', you might want to have a look at INSTANA, which was built with modern tool stacks in mind. https://www.instana.com/apm-for-microservices/

We have a public sand-box available if you just want to have a look at the product once and of course also a free-trial: https://www.instana.com/getting-started-with-apm/

Let me know if you need anything on top.

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I have hands on production experience both with New Relic and Datadog. I personally prefer Datadog over NewRelic because of the UI, the Documentation and the overall user/developer experience.

NewRelic however, can do basically the same things as Datadog can, and some of the features like alerting have been present in NewRelic for longer than in Datadog. The cool thing about NewRelic is their last-summer-updated pricing: you no longer pay per host but after data you send towards New Relic. This can be a huge cost saver depending on your particular setup

https://docs.newrelic.com/docs/accounts/accounts-billing/new-relic-one-pricing-billing/new-relic-one-pricing-billing

I'd go for Datadog, but given you have lots of containers I would also make a cost calculation. If the price difference is significant and there's a budget constraint NewRelic might be the better choice.

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Dale Rodriguez
Sales Engineer at Sysdig · | 1 upvotes · 86.8K views
Recommends
Sysdig
at

Hello Medeti,

Sysdig charges per host regardless of node type.

Please contact me for more information.

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Decisions about Datadog and LogRocket
Attila Fulop
Team Leader at Artkonekt · | 3 upvotes · 127.4K views

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

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Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 117.6K views

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

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Pros of Datadog
Pros of LogRocket
  • 131
    Monitoring for many apps (databases, web servers, etc)
  • 103
    Easy setup
  • 83
    Powerful ui
  • 80
    Powerful integrations
  • 66
    Great value
  • 50
    Great visualization
  • 41
    Events + metrics = clarity
  • 39
    Custom metrics
  • 38
    Notifications
  • 36
    Flexibility
  • 16
    Free & paid plans
  • 13
    Great customer support
  • 12
    Makes my life easier
  • 7
    Easy setup and plugins
  • 7
    Adapts automatically as i scale up
  • 5
    Super easy and powerful
  • 4
    AWS support
  • 4
    In-context collaboration
  • 3
    Rich in features
  • 2
    Cost
  • 2
    Best than others
  • 2
    Docker support
  • 1
    Automation tools
  • 1
    Source control and bug tracking
  • 1
    Full visibility of applications
  • 1
    Good for Startups
  • 1
    Expensive
  • 1
    Cute logo
  • 1
    Free setup
  • 1
    Simple, powerful, great for infra
  • 1
    Easy to Analyze
  • 1
    Monitor almost everything
  • 20
    See a video of user using your website
  • 19
    See full user sessions
  • 18
    Detect user frustration
  • 18
    See why users ask for support
  • 17
    Console, network, and error logging
  • 13
    Intercom Integration
  • 12
    GitHub Integration
  • 12
    Fantastic Customer Support
  • 1
    Easy setup
  • 1
    Redux Integration
  • 0
    Redux Integration

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Cons of Datadog
Cons of LogRocket
  • 15
    Expensive
  • 2
    No errors exception tracking
  • 1
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
    Be the first to leave a con

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    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 LogRocket?

    LogRocket combines session replay, performance monitoring, and product analytics – empowering software teams to create the ideal product experience.

    Need advice about which tool to choose?Ask the StackShare community!

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    What companies use LogRocket?
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    Blog Posts

    +12
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    Oct 11 2019 at 2:36PM

    LogRocket

    +8
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    What are some alternatives to Datadog and LogRocket?
    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.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it 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.
    See all alternatives
    Reviews of Datadog and LogRocket
    Review of
    Datadog

    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 of
    Datadog

    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 of
    Datadog

    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 of
    Datadog

    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 and LogRocket
    DigitalPermits uses
    Datadog

    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.

    Sail Tactics uses
    Datadog

    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.

    AngeloR uses
    Datadog

    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.

    Dynamictivity uses
    Datadog

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

    Flux Work uses
    Datadog

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