We performed a comparison between ArcSight Logger and Datadog based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the search capability, which is simple to use."
"The most valuable feature is the level of detail that you can see about certain events, even when they do not come up in the console."
"We check a lot of logs in ArcSight Logger because we're running a massive database platform."
"In our country we are a little bit private in terms of solutions, so we are just starting to use the basic data capture. Now some users can start to use additional features that come with Micro Focus ArcSight like user behavior analytics for investigating."
"It's a brilliant log collection tool, and it can handle hundreds of thousands of servers in a single shot to ingest the data."
"The solution provides information about the risk factors."
"In terms of ArcSight Logger's most valuable feature, it is their scalability. ArcSight's real advantage is its scalability because they have two layers, including the logger layer."
"The machine learning is a good feature."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"We can handle debugging and find out why things are breaking in our applications."
"The solution has helped our organization with custom events to track specific cases."
"Datadog agents act as an integration to different services, providing easy access and management."
"The observability on offer is the most useful aspect of the product."
"Overall, the Data UI and the usability of customer features continue to improve."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"I would like to see better scheduling in the next release of this solution."
"In the next release, I want to see more intelligence."
"We find that the search and access functionality is quite slow."
"The next release should have AI capabilities."
"It's not a new product and is a bit complex. So, it requires a person dedicated to working on it and to know about it in and out. It is a huge product, and the search operation is a bit complicated for a new user or someone who has not used it for long. So for that person, it becomes a bit difficult."
"The solution must provide readymade connectors for different applications."
"The product's connectors should work better and the user manuals need an update."
"The platform is quite expensive. They should reduce its cost."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"We would really like to see more from the Service Catalog."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"Datadog could have a better business analysis module."
"Some of the interface is still confusing to use."
ArcSight Logger is ranked 29th in Log Management with 30 reviews while Datadog is ranked 2nd in Log Management with 137 reviews. ArcSight Logger is rated 7.8, while Datadog is rated 8.6. The top reviewer of ArcSight Logger writes "A scalable and stable solution that enables users to see all the event logs in one place". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". ArcSight Logger is most compared with Splunk Enterprise Security, IBM Security QRadar, Elastic Security, Wazuh and LogRhythm SIEM, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics. See our ArcSight Logger vs. Datadog report.
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