IBM Tivoli NetCool Impact alternatives and competitors

We started off with infrastructure monitoring, then, over a period of time, we added on the application monitoring and cloud monitoring as well. It's been an incremental thing for us.

I like the collectors and I like the agent-less collector's functionality a lot. To me, that's been the top ones. I also like their integrations with the various types of devices that they've built out over a period of time. The power flow is great.

They need a little more self-service. Some of the places where there's still a dependency on defense logic. If those could be eliminated, that would be ideal.

They've done a fantastic job eliminating a lot of those dependencies and there's a lot of self-service. However, some of the areas where we could have it connect to, for example, Splunk or ServiceNow, in a self-care version versus having to go back to their engineers, that's an area where they could do a little more.

There are still a lot of engineers who get involved versus if it's a little more API-driven and self-served dashboard connections. Doing it the other way would just make life easier for users.

I’ve been using the solution for six years now.

I don't have any stability concerns. At least I haven't seen any issues on our side. The performance is good. It’s reliable. There are no bugs or glitches, and it doesn’t crash or freeze.

The solution is scalable. It’s great for enterprise-level organizations.

We have 30 to 35 engineers on the solution right now.

We do deal with technical support. For example, if there's a new upgrade, that's hard to keep up with or there's a new connector that we don't know about then we'll reach out to them.

Positive

We have experienced a few different solutions. We’ve used IBM products in the past, and we've used Solarwinds as well. I do prefer the agent-less option, and I also like the roadmap, especially everything ScienceLogic had on the IOPS for five years.

On a scale of one to ten, I’d give it six in terms of ease of setup. We don't need to have some level of engineering expertise. It's not as straightforward as rolling out a Power BI or a Tableau, for example. Also, the infrastructure is multilayered, and it is complex. The rollout should have some level of engineers involved.

For us, the deployment took about two weeks.

We have seen an ROI.

The solution is license-based. It's between $8 and $15, depending on what you need from the product.

We are a customer and a partner.

We are currently operating multiple versions of the product.

It may not be the right product if you want to solve a certain use case. You have to have the right use case. It's an excellent product if you have a broader strategy, either as an MSP or as an enterprise. If you just need to replace product “A” with ScienceLogic to monitor 100 endpoints, it's not the perfect use case for them. The perfect use case is how you get it to cover across multiple layers of network, applications, and cloud, especially towards hybrid monitoring. Potential users need more roadmap-based approaches versus a one-point use case.

I’d rate the solution a nine out of ten. My experience with other products and the support I received from ScienceLogic across multiple levels, from engineering to product, especially at the leadership level, has been good. The support and everything they do to help you and your customers are successful. Overall, I really like the product, and I recommend it.