When we started Gigasheet, our goal was to make it easy for anyone to explore large datasets without downloading files or writing code. We saw a gap in the way data was being shared online. Too often, public datasets were locked up in ZIP files or buried inside PDFs. Even when you could get your hands on the data, you were stuck parsing through it in a spreadsheet tool that could barely open a few hundred thousand rows.
So we built something different.
Today, we’re celebrating a milestone: our 2,000th public dataset is now live in the Gigasheet Sample Data Repository. Every dataset in the repo is open, interactive, and viewable down to the row and cell level. You get full access to the data, not just a sample or an aggregate. You can filter, sort, create segments, and export exactly what you need — all in a spreadsheet interface that can handle tens of millions of rows.
The Latest Addition: 1.7 Million Healthcare Practices and Businesses
To mark dataset number 2,000, we published a rich, public dataset of over 1.7 million healthcare-related practices and provider businesses, sourced from the Centers for Medicare & Medicaid Services. This is all public data, but Gigasheet makes it incredibly easy to explore and segment.
The dataset includes:
- Practice and organization names
- Specialties and service types
- Business addresses and contact info
- State-level groupings and geographic fields
This type of data is often used for marketing and territory planning, sales prospecting, insurance network analysis, and healthcare industry research. With Gigasheet, you don’t have to clean or reshape anything before digging in. You can immediately start creating filters by state, specialty, or region, and export just the rows that match your criteria.
You can even enhance the dataset using Gigasheet’s built-in enrichment features. Add firmographic details like employee counts, job postings, and more. Need email addresses for outreach? You can validate and append them right from within the platform.
What used to take days of effort now takes a few minutes.
Why We’re Hosting the Data Ourselves
We didn’t set out to be a public data host, but we realized early on that there just weren’t many places where people could explore full, real-world datasets at scale.
Most public datasets live behind download buttons. Often you'll get a sample of the data, and access to download the raw file, open it in Excel or a code editor, and hope it doesn’t crash your system. Worse, many of these files only offer partial data or summaries. That’s fine for dashboards, but not for analysis.
We started publishing public datasets on Gigasheet because we wanted to show what real data exploration looks like when the full dataset is available. And because we knew we could make the experience better.
With Gigasheet, you can scroll through every row, click into every cell, and work with large-scale data with only spreadsheet skills. The difference is you’re doing it at cloud scale.
Beyond Public Sample Datasets
Our sample data repo is just one example of how people use Gigasheet. We also work with teams that need to share or deliver datasets internally or externally.
If you're a data provider, our Data Delivery offering makes it easy to deliver large datasets to customers in an interactive, self-service format. Customers can explore the data, create segments, and export only what they need. You don’t have to build a custom portal or respond to endless CSV requests.
If you need to collaborate on data internally, Gigasheet gives your team an interface where they can work with big datasets without relying on engineers to prep or query the data. And if you want to make data publicly available, like we do in our sample repo, Gigasheet is a fast way to publish data with a clean, usable experience for your audience.
What’s Next
Our 2,000th dataset is a fun milestone, but the bigger story is the shift we’re seeing. More teams want to explore real data, not just see dashboards. They want access to everything . Every row, every cell and they want to work with it without waiting for a data engineer or downloading a giant file.
That’s what we’re building at Gigasheet. A better way to explore, share, and deliver data at scale.
Check out the Sample Data Repository, take a look at the new healthcare dataset, or try uploading your own file to see what’s possible.
No code. No downloads. Just full access to the data you need.
The ease of a spreadsheet with the power of a data warehouse.
