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Why Construction Companies Are Paying $30K/Year for Data They Already Own

Here is a question worth asking at your next leadership meeting: Why are we paying a premium to analyze data that our own people generated? Every RFI your project engineers wrote, every change order your PMs processed, every daily log your supers filed -- that is your data. But accessing it analytically through Procore's Databricks integration costs $30,000 or more per year. Let's talk about why that does not have to be the case.

The Data You Are Already Creating

Think about the volume of data your team enters into Procore every single day. On a typical mid-size GC running 20 active projects, that looks like:

Your team does this work because Procore is a good project management platform. The data entry happens naturally as part of running projects. But here is where things get sideways: the moment you want to analyze that data across projects, spot trends, or build executive dashboards, Procore points you toward a $30K/year Databricks add-on.

What You Are Actually Paying For

Let's be specific about what that $30,000 buys. It is not the data. You already created the data. You are paying for:

That is it. You are renting compute power and a data pipeline to access information your employees already typed into text fields, dropdown menus, and budget grids.

"We were paying $30K a year for Databricks through Procore and our team used it maybe twice a month. We didn't have anyone who could write SQL, so we were paying a consultant on top of that to actually build queries. The total cost was closer to $50K for something that should have been straightforward."

The Principle: Your Data Should Be Accessible

We are not here to bash Procore. It is a strong platform and we are a Procore technology partner. Our entire sync engine is built on their API. But we disagree with the premise that accessing your own data analytically should cost $30,000 a year.

The construction industry generates enormous amounts of structured data. That data has value. It can tell you which subcontractors consistently blow their budgets, which project types have the highest RFI rates, where your change order exposure is concentrated, and how your actual costs compare to estimates across your portfolio. That information drives better bids, tighter project controls, and smarter hiring decisions.

Making that information inaccessible without a premium add-on creates a two-tier system: large ENR-ranked firms with data teams and analytics budgets get insights, and everyone else flies blind with spreadsheets.

How API Access Changes the Equation

Here is what Procore gets right: they offer a robust REST API with OAuth 2.0 authentication. That API exposes 30+ endpoints covering projects, budgets, RFIs, submittals, change orders, vendors, documents, daily logs, and more. Any authorized third-party application can sync this data with proper credentials and user consent.

This is important because it means you do not need Procore's Databricks product to get your data out. You need an application that knows how to work with the API, handle pagination, respect rate limits, manage OAuth token refreshes, and map the data into a usable schema.

That is exactly what we built. CloudPath connects to your Procore account via OAuth, syncs data across 30+ endpoints four times per day, and stores everything in your own isolated database. No Databricks required. No SQL required. No $30K/year required.

What $30K/Year Buys vs. What $500-$1,500/Month Buys

The $30K/Year Databricks Path

The $500-$1,500/Month CloudPath Path

Run the Numbers

At $30,000/year for Databricks, you are paying $2,500/month before you add consulting costs for someone to actually write queries and build visualizations. At CloudPath's high end of $1,500/month, you are getting the sync, the database, the dashboards, and the AI layer for half the cost of the raw Databricks license alone. Over three years, that is a difference of $36,000-$72,000, depending on your consulting spend with the Databricks approach.

The Bigger Picture

This is not just a pricing debate. It is a question about how the construction technology ecosystem should work.

When a GC enters 10,000 daily log entries per year, creates 3,000 RFIs, processes 500 change orders, and manages $150M in committed costs through a platform, that operational data is a byproduct of doing business. The platform vendor already charges for the SaaS license that enables that data entry. Charging an additional $30K/year to analyze the output is double-dipping.

The existence of open APIs means construction companies have options. You do not have to accept the premise that analytics is a premium feature. Your data is portable. The API exists. And companies like CloudPath exist specifically to give you access to your own information at a price that reflects the actual cost of infrastructure, not the perceived value of holding your data behind a paywall.

What Should You Do?

If you are currently paying for Procore's Databricks analytics, ask yourself three questions:

  1. How often does your team actually use it? If the answer is "a few times a month" or "only when the consultant logs in," you are dramatically overpaying per insight.
  2. Who on your team can write SQL? If the answer is nobody, you are paying for a tool that requires a skill set you do not have.
  3. What would you do with $30K/year in savings? That is a project engineer salary. That is upgraded field technology for two jobsites. That is real money in construction.

Your data belongs to you. Accessing it should not require a premium subscription on top of the platform you already pay for. Period.

Stop Overpaying for Access to Your Own Data

Start a free 30-day pilot and see your Procore data in Power BI dashboards with AI-powered natural language queries. No commitment. No Databricks. No SQL. Just your data, accessible to your whole team.

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