We compared Datadog and SolarWinds NPM across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Features: Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities. SolarWinds NPM is commended for its adaptability and extensive network surveillance functionalities.
Room for Improvement: Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. SolarWinds NPM needs improvement in edge computing capabilities and data reporting. Users also said the performance could be better and that they would like to see expanded IPAM functionality.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support, especially in the Asia-Pacific region. While some customers described SolarWinds support as helpful and responsive, others reported delayed responses.
Ease of Deployment: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. Some users said SolarWinds NPM was straightforward to set up, while others perceived it as complex.
Pricing: Opinions about Datadog's price are divided. Some users found it costly, but others thought it was acceptable. Some said the pricing model could be clearer and better explained. The cost of SolarWinds NPM varies depending on the customer’s size and requirements. Some users find it costly.
ROI: Users said Datadog saved them time and improved visibility into security blind spots. Some users reported immediate benefits from using SolarWinds NPM in terms of security and business outcomes, while others have not.
Comparison Results: Datadog is praised for its customizability, easy setup, and robust AI features, but some users say it has room for improvement in areas like usability and integration. Datadog’s pricing and customer service received mixed reviews. SolarWinds NPM is a customizable solution that’s easy to deploy and features comprehensive network monitoring capabilities. However, some users consider it costly and voiced concerns about technical support and user experience.
"We can manage the entire system across the network and troubleshoot the pain points."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"Datadog's log aggregation is really helpful since it lets me and every other engineer on my team login, view, and share logs when we need to debug our application."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"Datadog has so far been a breeze to use and set up."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"The most valuable aspect is for us to have everything in one place."
"The solution is stable and reliable."
"The stability is fantastic."
"The solution is very user-friendly."
"You can monitor performance counters effortlessly."
"We found that it was easy to operate, and it was simple if anyone has entry-level working experience or even if someone is not experienced."
"The product covers our needs for the basic care and feeding of servers, whether they are physical or virtual."
"We can proactively fix historical issues, so we won't face those problems in future."
"The solution ranks as one of the top five monitoring tools."
"The Wi-Fi side needs improvement."
"I would love to see more metrics or analytics in IoT devices."
"We need more integration with security tools like Drata."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly."
"The logging could be improved in the future."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"The aesthetic widgets should be dynamic widgets, so the customization can be even more customizable."
"Real-time analytics is the major weakness of the SolarWinds NPM platform today. They've done a fantastic job enabling the collection of data. Users are now demanding the ability to generate their own graphs, views, and so on; all of this must be done by an admin today."
"The solution's network discovery and node addition processes need more work."
"Technical support can be slow to respond."
"The solution needs to integrate with additional SDN technologies that are part of the hyper market."
"SolarWinds NPM could improve the graphics of the interface and more customized reporting."
"There should be a little bit more integration in some of the other tooling and utilizing the APIs of devices or tools could be a little bit better."
"The reporting module that got integrated into the system itself, used to be a standalone solution and I preferred that."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while SolarWinds NPM is ranked 4th in Network Monitoring Software with 147 reviews. Datadog is rated 8.6, while SolarWinds NPM is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of SolarWinds NPM writes "High-level, comprehensive, and proactive monitoring in a user-friendly interface". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas SolarWinds NPM is most compared with Zabbix, PRTG Network Monitor, ManageEngine OpManager, ThousandEyes and Wireshark. See our Datadog vs. SolarWinds NPM report.
See our list of best Network Monitoring Software vendors, best IT Infrastructure Monitoring vendors, and best Cloud Monitoring Software vendors.
We monitor all Network Monitoring Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.