Salesforce vs. HubSpot vs. Dynamics: The Real SI Tech Stack, Exposed

Ask a system integrator what tools they use and you'll get the polished answer: "We're a Salesforce shop" or "We run everything through Dynamics." Ask their delivery team the same question and you'll get a very different story.

We did both. Across 200+ SIs, we mapped not just the tools they sell, but the tools they actually use internally. The gap between the two is revealing.

The CRM Wars: What SIs Actually Use Internally

Here's the headline most people expect: Salesforce dominates CRM adoption among system integrators. Here's the headline that's actually true: most SIs barely use their own CRM.

Salesforce leads at 38%, but that number deserves context. Many Salesforce SIs use Salesforce internally because they get partner discounts and it's good for credibility ("we eat our own dog food"). But the depth of usage varies wildly.

The surprise is HubSpot at 24%. Many SIs that implement enterprise platforms for their clients use HubSpot for their own sales pipeline because it's simpler and cheaper. One Salesforce partner told us directly:

We implement Salesforce for companies with 500+ employees. We're 40 people. HubSpot is fine for us.

The 11% using spreadsheets and 6% using nothing are SIs that rely entirely on founder relationships and referrals for pipeline. They know it's a problem. They just haven't fixed it.

The Real Stack: What's Under the Hood

When we mapped the complete internal tool stack of each SI, a pattern emerged. Regardless of size or primary platform, SIs converge on a remarkably similar architecture.

Three observations stand out:

1. The Microsoft tax is real. 41% use SharePoint + Word for documentation, even when they're not Microsoft Dynamics partners. SharePoint is the default because enterprise clients expect it, and most SIs have Microsoft 365 licenses already.

2. Jira has won project management. Even non-Atlassian SIs use Jira for delivery. The reason is simple: their clients use Jira, so standardizing on it reduces friction during joint project execution.

3. The document layer is the weakest link. CRM and PM tools have clear market leaders. The document layer is fragmented across four platforms with no dominant solution, which explains why document-related workflows are the most painful.

The Integration Gap

Here's the chart that tells the real story. We asked each SI how many of their core tools are integrated -- meaning data flows automatically between them, not just "we can export a CSV."

34% of SIs have zero integration between their core tools. Data moves between systems via copy-paste, manual entry, or not at all. Only 5% have what could be called a connected tech stack.

The firms with higher integration levels share a common trait: they have at least one person whose informal job is "making tools talk to each other." Usually it's a technically-minded operations manager who builds Zapier workflows on weekends.

I'm technically the VP of Ops, but half my time is spent maintaining our Zapier automations. We have like 40 zaps. If I get hit by a bus, nobody knows how any of it works.

The Meeting Intelligence Layer

The newest addition to the SI tech stack is meeting intelligence. Two years ago, almost nobody recorded client calls. Today, adoption is accelerating.

40% still don't record calls, but the trend line is clear. The adoption barrier isn't cost (most tools are under $20/seat/month). It's cultural. Salespeople worry about clients reacting negatively to recording. Delivery teams don't see the point because the recordings don't connect to their workflow.

The SIs that do use meeting intelligence hit a consistent wall: the recordings live in a silo. Gong doesn't talk to Jira. Fathom doesn't update Salesforce automatically. The meeting transcript exists, but extracting actionable information and routing it to the right system is manual work.

Sales uses Gong. Professional services doesn't have access. So the recordings exist but the delivery team never sees them. It's like having a security camera pointed at the wrong direction.

Stack by Company Size

The tech stack varies significantly by company size, but not in the way you'd expect.

Larger SIs don't use better tools. They use more tools. A 150-person SI averages 11+ distinct tools compared to 6 for a 20-person firm. The complexity compounds: each new tool creates integration requirements with every existing tool.

This is why the "just buy a platform" argument doesn't work for SIs. They're not choosing between Salesforce and HubSpot. They're managing an ecosystem of 6-11 tools that all need to work together, and no single platform covers more than 30% of their needs.

What the Best Stacks Have in Common

The SIs with the highest-performing tech stacks (measured by consultant utilization and client satisfaction scores) share three characteristics:

1. Single source of truth for client context. Whether it's in CRM or a dedicated knowledge base, there's one place where everything about a client lives. Not distributed across Salesforce notes, SharePoint folders, and Jira tickets.

2. Automated data flow between sales and delivery. When a deal closes, the delivery team already has context. This doesn't require a fancy integration platform. It requires intentional architecture.

3. Living documentation. Documents update when reality changes. Architecture diagrams reflect the current state, not the state from the kickoff meeting. SOWs track actual scope, not just original scope.

The Takeaway

The SI tech stack problem isn't about choosing the right tools. Most SIs already have good tools. The problem is that these tools operate as isolated islands, each holding a fragment of the full picture.

The next wave of SI tooling won't be another CRM or another PM tool. It will be the connective tissue that makes existing tools work together. The companies that figure this out first will have a structural advantage: better handoffs, better utilization, and ultimately better margins.

The data suggests this transition is already starting. The question is whether SIs build it themselves (the 7% building their own AI) or adopt purpose-built solutions. Based on our conversations, most would prefer to buy. They just don't know what to buy yet.

Data is based on 200+ conversations with U.S.-based system integrators conducted in early 2026. Tool usage was self-reported and verified through follow-up conversations where possible.