Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$1.27
per month (billed annually) per host
SolarWinds Papertrail
Score 8.9 out of 10
N/A
Austin based SolarWinds acquired log management tool Papertrail in April, 2015.
N/A
Pricing
Datadog
SolarWinds Papertrail
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
No answers on this topic
Offerings
Pricing Offerings
Datadog
SolarWinds Papertrail
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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More Pricing Information
Community Pulse
Datadog
SolarWinds Papertrail
Considered Both Products
Datadog
Verified User
Anonymous
Chose Datadog
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in …
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to dynatrace).
The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like Appdynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies.
New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of …
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
I am listing how Datadog is better than below chosen NotSensu - Datadog has more integrations and easy to use UI. Prometheus - Datadog Integration are more in number than, simple installation process
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than …
Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other …
I selected SolarWinds Papertrail because it was cheap and already provided precisely the integration surface required by the Heroku stack. It probably provided the least number of 'useful' features (out of the bunch) due to the nature of my logs and the post-mortem updates …
SolarWinds Papertrail is easier to set up, and in my opinion, its UI is quicker for searching specific logs. LogDNA (now Mezmo) have advantage in the UI look and in the power to create charts and counters.
CloudWatch, by itself, is terrible at search. CloudWatch Insights works great and has powerful search capabilities, but it's more difficult to set up alerts. Also, because Insights charges per search, you have the potential to accumulate a large bill if you need to do many …
As a way to just read your logs in a stream, aggregated across apps, it does that better than Datadog or Honeycomb. While DataDog does have a logging product, Honeycomb does not, so Honeycomb + SolarWinds Papertrail could be useful.
Papertrail offers a much easier to use solution than Azure. We were able to integrate it into our applications without much work and the solution works robustly. Papertrail offers traditional logging services, only, but we have used sysdig monitor together with papertrail and …
I much prefer SolarWinds Papertrail as it just makes things so much easier to read and follow through than other tools. It's much faster, and so much easier to set up and get into a running state. It takes us on average maybe 5-10 minutes to configure our apps to send log data.
AWS user interface and user experience is not really great, its really hard to trace logs on their console. Papertrail offers so much better user experience for us, its also very easy to setup alarm on Papertrail whenever something's gone wrong. I personally choose Papertrail …
We have used other services such as Coralogix before but love SolarWinds Papertrail for its ease of use and not-too-bloated features. This also makes our engineers and other staff use it more often.
We have used Papertrail right from day 1 of our startup. We didn't find any major drawbacks for us to check/evaluate anything else. Part of the reason is also that we started with Heroku and Papertrail was available as an add on for Heroku.
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
SolarWinds Papertrail is great if you have multiple separate applications and you want to be able to view and search all the logs in one place. It also works well for alerts based on certain keywords in log entries (for example, ERROR, WARN, etc.) Since only the first four weeks of logs are searchable in Papertrail, it may not work well for use-cases where much older log entries need to remain searchable.
Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
I would appreciate more supportive examples for how to filter and view metrics in the explorer
I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
It's extremely easy to use. I and new colleagues have never had any issues configuring this tool or setting it up, it works almost out of the box with very simple instructions to follow to configure it to our own environment. I would highly recommend it on that ability alone.
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
I honestly have never had the need to use the support team, as we have not run into any issues so far. If we did however, judging from how the tool itself works, I don't doubt that the team would provide excellent support for any issues that we may possibly run into.
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
I selected SolarWinds Papertrail because it was cheap and already provided precisely the integration surface required by the Heroku stack. It probably provided the least number of 'useful' features (out of the bunch) due to the nature of my logs and the post-mortem updates that were required to make them usable.