Splunk Observability Cloud aims to enable operational agility and better customer experience through real-time AI-driven streaming analytics allowing accurate alerts in seconds. It is designed to shorten MTTD and MTTR by providing real-time visibility into cloud infrastructure and services.
$15
per month (billed annually) per host
Statseeker
Score 7.0 out of 10
N/A
Statseeker, a Techniche product, is a network performance monitoring solution used by private, Fortune 500 and S&P companies, and G20 governments around the world. The solution is designed to deliver instant, granular-level visibility of an entire network and history.
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Pricing
Splunk Observability Cloud
Statseeker
Editions & Modules
Infrastructure
$15
per month (billed annually) per host
App & Infra
$60
per month (billed annually) per host
End-to-End
$75
per month (billed annually) per host
No answers on this topic
Offerings
Pricing Offerings
Splunk Observability Cloud
Statseeker
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Splunk Observability Cloud
Statseeker
Features
Splunk Observability Cloud
Statseeker
Network Performance Monitoring
Comparison of Network Performance Monitoring features of Product A and Product B
The query language is relatively easy and flexible when looking into an application's problems. These queries can then be used for alerts, reports, and dashboards. I believe Splunk is a platform that can help a system grow into its proactive application management, using incidents to add insights as needed without trying to work out every scenario in advance.
Statseeker is an excellent choice to monitor a small, medium or large network. It uses SNMP to monitor switches, routers, appliances and really anything that has SNMP. The reports and output you can get from the system are invaluable. The speed of the system compared to other monitoing systems is great. Overall an excellent system.
The first one is its Kubernetes container monitoring.
I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.
An indicator for errors on the navigations pane so that we don't have to go through each tab.
As we go more and more cloud maybe you guys can implement a pay-as-you-use strategy so that small companies using it not frequently can also afford it.
That's it can't think of any and it wont let me skip to next question. Thanks
Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net
When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.
Support is very good, however, they have been based out of Australia so you have to deal with the time difference. Once you get them they are excellent. I have heard they are shifting some of the company to the US so that should help with support.
We initially chose Splunk Observability Cloud because it promised full-stack visibility and tighter integration. The other tools didn't offer this as part of the core package. Their analytics and real-time dashboards looked strong during the demo but it turned out to a lot heavier and more complex than expected. If I had to decide again, I’d probably go with something more streamlined and easier to manage.
Both are similar, but I feel Statseeker is more feature-rich and the user interfaces much much faster than NPM. The UI is not quite as good as NPM, but I believe the slimmed-down UI is what allows for such fast query speeds.
