We performed a comparison between Datadog and DX Spectrum based on real PeerSpot user reviews.
Find out in this report how the two Network Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We can manage the entire system across the network and troubleshoot the pain points."
"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"Datadog has flexibility."
"The monitoring functionality, in general, and tagging infrastructure are great."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"Overall, the Data UI and the usability of customer features continue to improve."
"The quick notification of issues, quick alerting because timeliness is always valuable, it's very important for us."
"The most valuable feature is the ability to put health checks in place not only for the infrastructure but for some of the services that are on top of the infrastructure."
"It is easy to understand and determine when and/or where the network is failing."
"It is easy to navigate."
"I can use it to detect whenever things go wrong on my network."
"We can plan changes and replacement of end-of-life products in our environment very well because it's very accurate."
"We can monitor MPLS network VPN, network configuration, and backups. It's highly scalable for network configuration management."
"The presentation layer is pretty simple and straightforward."
"The Wi-Fi side needs improvement."
"Additional metrics should be included."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"I would love to see more metrics or analytics in IoT devices."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"Could be a little more user friendly."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"I would like to see CA move Spectrum, Performance Manager, and some of their other tools moved to a SaaS based model. You see a lot of other manufacturers which are moving toward SaaS based models."
"The platform is complicated to use."
"I would recommend AI capability built-in so it becomes more predictable and we jump ahead of the curve. This is the one really important feature I would really like to see in any product that provides alarms."
"We have a lot of different monitoring tools in the background, so orchestration has been a little bit of a challenge."
"Huawei devices are not properly supported, and there are incompatibility issues related to certain protocols."
"It needs better integration with other CA products."
"Needs better integration with all the other products in the Agile suite of tools; anything they could do to make that less complex, would be great."
"For my use case, incident coordination was an area of improvement. The internal software engine for coordinating outages could use improvement because sometimes, we used to get false alerts for unrelated devices. They did a really good job of trying to make sure that you got one major alert and any of the subsequent devices downstream were just additions to that, but occasionally, the engine wouldn't properly catch the right things, and we used to get a flood of alerts."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while DX Spectrum is ranked 13th in Network Monitoring Software with 115 reviews. Datadog is rated 8.6, while DX Spectrum is rated 8.4. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of DX Spectrum writes "Comprehensive alerts, beneficial overall network viability, and scalability not limited". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas DX Spectrum is most compared with DX NetOps, Zabbix, SolarWinds NPM, Cisco DNA Center and ThousandEyes. See our DX Spectrum vs. Datadog report.
See our list of best Network Monitoring Software vendors and best IT Infrastructure Monitoring 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.