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In today’s data-driven economy, Data as a Service (DaaS) is no longer just a buzzword—it’s one of the fastest-growing business models for entrepreneurs and solo builders.

Instead of creating a tool or software, you're monetizing clean, useful, niche data that businesses are already searching for.

- Why DaaS is the perfect business model for 2025

- Real-world examples of profitable data products

- How to build your own DaaS from scratch

 is the ultimate shortcut if you want to skip the hard part

Data as a Service (DaaS) is a business model where you package and sell access to curated, valuable data.

It could be a searchable database, a downloadable Google Sheet, or a hosted dashboard. Customers pay to access it—either through a subscription or one-time fee.

You're not selling software. You’re selling 

—because your data helps people save time, make money, or both.

Here’s why more founders are choosing to launch DaaS products:

- Low overhead: Once the data is built, it’s nearly free to serve more customers

- Recurring revenue: Monthly subscriptions create predictable cash flow

- No-code friendly: You can start with tools like Airtable, Notion, or Google Sheets

- Scalable: One dataset can serve 10 or 10,000 customers

- In-demand: Businesses constantly need leads, insights, and benchmarks to stay competitive

There are dozens of profitable use cases for DaaS. Some real-world examples include:

- Lead databases: Lists of ecommerce brands, B2B SaaS companies, or ad agencies

- Hiring and job data: Trends in tech hiring, startup layoffs, or remote job boards

- Local business data: Restaurant directories, gym databases, or real estate listings

- Competitive research: Price trackers, ad intelligence, or SEO tools like 

All of these are DaaS products—just packaged in different ways.

You don’t need to be technical. Here’s the simple step-by-step:

Choose a customer segment that relies on fresh, accurate data. Examples: marketers, recruiters, founders, or investors.

Use web scraping tools like Octoparse, manual research, public APIs, or freelance help.

Use Excel or OpenRefine to make sure the data is useful. Include fields like name, company, revenue, contact info, etc.

Host your database on Airtable, Google Sheets, or a custom dashboard like 

. You can gate access with LemonSqueezy, Gumroad or Memberstack.

Price between $27–$197/month depending on the depth and value of your data. Emphasize the ROI: saving time or generating revenue.

To make people actually pay for your data, your DaaS needs to check 3 boxes:

 Updated regularly, or at least verified recently

 It helps people save time, make money, or both

The smaller and more targeted your niche, the more likely customers will happily pay for it.

Want to Start a DaaS Business Without Wasting Months on Trial and Error?

Most people who want to launch a data as a service product run into the same problems:

- “I don’t know what kind of database to build.”

- “How do I know people will pay for it?”

- “Where do I even find my first customers?”

- “I’m not technical—how do I build version one?”

- “How do I write outreach emails that actually get responses?”

 was created. It’s not just data—it’s a complete playbook for going from zero to paying subscribers with your own DaaS product.

 How I grew my own database as a service (daas) product from zero to $80k ARR → $320k valuation in just 12 months

 How to come up with your own database concept, validate demand, and avoid dead-end ideas (plus real niche examples already making money)

 How to build and enrich a lead list in Google Sheets, including the exact fields to include and platforms to use

 my cold email setup, tested outreach templates, and the best Reddit and Facebook groups to find your first paying subscribers

How I hired a developer on Reddit to build v1 of his SaaS for just $150—and how you can do the same

 Access to a private Discord with other builders sharing feedback, wins, and accountability

If you’ve been thinking about starting a DaaS product but feel stuck, 

- No more blank page—get frameworks, real examples, and proven inspiration

- No more wasted months—validate fast before you build

- No more “how do I get customers?” panic—you’ll have the outreach system that works

- No tech headaches—launch with spreadsheets or hire a cheap dev for your MVP

Data as a Service is one of the most profitable online business models for 2026. It’s lean, scalable, and creates recurring revenue. But the hardest part isn’t the data—it’s knowing what to build, how to launch, and how to find customers.

 is the smartest solution. It gives you the ideas, the playbook, and the community to launch your own DaaS product without wasting months on trial and error.

If you want to save time, cut costs, and finally launch your first profitable data product, start with The100KDatabase today.

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What is Data as a Service (DaaS) and How to Launch a Profitable Data Product