We performed a comparison between Datadog and Loom Systems based on real PeerSpot user reviews.
Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring."They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"We really like the charts and visualization."
"APM is great and has provided low-effort out-of-the-box observability for various services."
"Excellent autocomplete for everything in the UI."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution."
"You can develop your own apps within Loom, and they can be configured very simply."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"The RFS portion of the solution is the product's most valuable feature."
"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"They could have better log reporting."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"Datadog could be improved if it could detect other software in a container or server."
"The pricing is a bit confusing."
"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."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."
"The reporting is a bit weak. They should work to improve this aspect of the product."
"The change management within the solution needs to be improved. There needs to be more process automation."
Datadog is ranked 2nd in IT Infrastructure Monitoring with 137 reviews while Loom Systems is ranked 56th in IT Infrastructure Monitoring with 4 reviews. Datadog is rated 8.6, while Loom Systems is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Loom Systems is most compared with Elastic Search and Splunk Infrastructure Monitoring.
See our list of best IT Infrastructure Monitoring vendors.
We monitor all IT Infrastructure Monitoring 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.
