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Words from the CMDB System Trenches

Dennis Drogseth

While it’s become fashionable to look at CMDBs as unwieldy and generally Quixotiesque endeavors—the truth is that solid technologies for effective CMDB and CMS—(if you believe as I do that the move towards a federated system is the future) – are just now really emerging. When you consider how revolutionary the idea is of reconciling everything from discovery and monitoring tools to asset databases in different formats from different companies into a single cohesive system—then I think you would have to agree that it’s only fair that this should take time.

EMA (i.e. me in this case) just completed a radar analysis of eleven vendors and talked to more than 20 CMDB/CMS deployments in North America and Europe. The research confirmed my views that CMDB-related technologies are evolving to become more dynamic, more real-time, more deployable, more use-case directed, and more varied in design. They are also becoming more essential than ever—spurred in part, ironically – by cloud computing which is pressuring companies to move towards a more cross-domain, and ultimately more service-centric model for management. (As I’ve pointed out in the past, companies with CMDB and application dependency tools show a 1.4 to 1.5 times advantage over those without in making cloud investments more effective.)

For this radar I excluded platform or framework vendors from the eleven vendors I worked with, in part because of the nature of EMA’s radar technology to create “framework ghettos” richer in function and higher in price.(I’ll be doing a platform-centric radar in Q 3-4 and include a few of the vendors here for comparison sake.) But I also wanted to focus on the differences in design to show, or confirm—what I believed to be true – that innovation in CMDB/CMS design is accelerating in multiple different directions.

The eleven vendors are:

- AccelOps
- ASG Software
- Axios Systems
- FireScope
- iET Solutions
- Interlink Software
- LANDesk
- n(i)2 Network Infrastructure Inventory
- Numara Software
- Service-now.com
- SunView Software

They were assessed along three use cases: Asset Management and Cost Optimization; Change Management and Change Impact Analysis; and Service Impact Management.

To give you an idea of some of the perspectives, I thought I’d wrap up with a few quotes from vendors and customer deployments—that highlight how CMDB-related technologies are changing, or not- -and how they are working in the real world. One thing, BTW, that hasn’t changed is the fact that just as CMDB/CMS is a revolutionary technology—it has parallel revolutionary implications for organizations, cultures, and processes as a few quotes below indicate.

Vendor: A couple of customer opportunities presented themselves—but the potential buyers said, “When you send in the P.O., make sure it doesn’t have the letters CMDB anywhere.” So we sometimes sell CMDB solutions by avoiding the letters C-M-D-B in our proposal.

Customer: We want to minimize the human interaction to get the CMDB up to date. The more manual the effort, the lower the accuracy of the CMDB.

Customer: In order to manage vMotion we needed a solution that was dynamically current and automatic in modeling infrastructure and application interdependencies.

Customer: We weren’t prepared for the political discussions going into this.

Customer: A large part of what we do is get people to work with changes—people are always resistant to change, we always get resistance.

Customer: Originally there was resistance. But two years later there are no complaints.

Customer: We have about 300 different types of stakeholders defined including business executives, applications management, desktops, servers, mainframes, merger recovery services, facilities planning, and ITIL process owners—just to name a few.

Customer: Our CMDB is doing a good job of supporting our migration towards a more fully virtualized infrastructure. It’s also helping us to cut down on the number of management tools we need.

Customer: We’re using the CMDB as the system of record for all of our PCs and their owners and where they are located and what applications run on them, in addition to our data center assets. It has become our authorized system of record.

These are just a few of many quotes used in the report—as added insight to the vendor assessments. In this unique radar, each Use Case has its own Bubble Chart – so that CMDB designs can be viewed in context with value instead of obscuring their positions by forcing everyone into a single, one-size-fits-all mold. The Webinar will spotlight these differences, while also providing a short-hand RFP for you to use in evaluating CMDB/CMS solutions – platform or not.

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Words from the CMDB System Trenches

Dennis Drogseth

While it’s become fashionable to look at CMDBs as unwieldy and generally Quixotiesque endeavors—the truth is that solid technologies for effective CMDB and CMS—(if you believe as I do that the move towards a federated system is the future) – are just now really emerging. When you consider how revolutionary the idea is of reconciling everything from discovery and monitoring tools to asset databases in different formats from different companies into a single cohesive system—then I think you would have to agree that it’s only fair that this should take time.

EMA (i.e. me in this case) just completed a radar analysis of eleven vendors and talked to more than 20 CMDB/CMS deployments in North America and Europe. The research confirmed my views that CMDB-related technologies are evolving to become more dynamic, more real-time, more deployable, more use-case directed, and more varied in design. They are also becoming more essential than ever—spurred in part, ironically – by cloud computing which is pressuring companies to move towards a more cross-domain, and ultimately more service-centric model for management. (As I’ve pointed out in the past, companies with CMDB and application dependency tools show a 1.4 to 1.5 times advantage over those without in making cloud investments more effective.)

For this radar I excluded platform or framework vendors from the eleven vendors I worked with, in part because of the nature of EMA’s radar technology to create “framework ghettos” richer in function and higher in price.(I’ll be doing a platform-centric radar in Q 3-4 and include a few of the vendors here for comparison sake.) But I also wanted to focus on the differences in design to show, or confirm—what I believed to be true – that innovation in CMDB/CMS design is accelerating in multiple different directions.

The eleven vendors are:

- AccelOps
- ASG Software
- Axios Systems
- FireScope
- iET Solutions
- Interlink Software
- LANDesk
- n(i)2 Network Infrastructure Inventory
- Numara Software
- Service-now.com
- SunView Software

They were assessed along three use cases: Asset Management and Cost Optimization; Change Management and Change Impact Analysis; and Service Impact Management.

To give you an idea of some of the perspectives, I thought I’d wrap up with a few quotes from vendors and customer deployments—that highlight how CMDB-related technologies are changing, or not- -and how they are working in the real world. One thing, BTW, that hasn’t changed is the fact that just as CMDB/CMS is a revolutionary technology—it has parallel revolutionary implications for organizations, cultures, and processes as a few quotes below indicate.

Vendor: A couple of customer opportunities presented themselves—but the potential buyers said, “When you send in the P.O., make sure it doesn’t have the letters CMDB anywhere.” So we sometimes sell CMDB solutions by avoiding the letters C-M-D-B in our proposal.

Customer: We want to minimize the human interaction to get the CMDB up to date. The more manual the effort, the lower the accuracy of the CMDB.

Customer: In order to manage vMotion we needed a solution that was dynamically current and automatic in modeling infrastructure and application interdependencies.

Customer: We weren’t prepared for the political discussions going into this.

Customer: A large part of what we do is get people to work with changes—people are always resistant to change, we always get resistance.

Customer: Originally there was resistance. But two years later there are no complaints.

Customer: We have about 300 different types of stakeholders defined including business executives, applications management, desktops, servers, mainframes, merger recovery services, facilities planning, and ITIL process owners—just to name a few.

Customer: Our CMDB is doing a good job of supporting our migration towards a more fully virtualized infrastructure. It’s also helping us to cut down on the number of management tools we need.

Customer: We’re using the CMDB as the system of record for all of our PCs and their owners and where they are located and what applications run on them, in addition to our data center assets. It has become our authorized system of record.

These are just a few of many quotes used in the report—as added insight to the vendor assessments. In this unique radar, each Use Case has its own Bubble Chart – so that CMDB designs can be viewed in context with value instead of obscuring their positions by forcing everyone into a single, one-size-fits-all mold. The Webinar will spotlight these differences, while also providing a short-hand RFP for you to use in evaluating CMDB/CMS solutions – platform or not.

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...