Datadog vs Nfina Technologies: Which is a better fit?

Sawan: Hi, I'm Sawan. I'm the Director of Information Security at a privacy business. I would give Datadog a rating five stars. Prior to using Datadog, I've had a lot of experience with different types of observability in monitoring solutions such as Splunk and built-in tools in cloud, such as Azure Sentinel and AWS Security Hub. I find Datadog very easy to use because it is compatible with all of these sources and easy to implement. They often join companies where they need to address gaps and improve their security posture very quickly. Datadog is easy to implement where there is a lack of skills within the organization and easy to scale, also with all of its integrations and very clear billing structure. Integration for Datadog is very easy because it has integrations out of the box from the minute you subscribe to the platform for all leading platforms, including secondary platforms as well. Its integrations are growing all the time. The integrations are quick to implement and done within minutes. The recommendations I have is that you aggregate to correlate and get good insights. When you connect all of these fast integrations into Datadog, you'll get a lot of information. A lot of information becomes noisy, so the key thing to do is to stop at those stages after integrations, and clarify what you want to see and cut out what you do not want to see, so therefore you can move at pace and have a very clean dashboard at the end.