SafeGraph vs. Dataplor: See the Difference Accurate Data Makes

Accuracy and global coverage are more than marketing claims. SafeGraph’s data is human-validated at every layer, and backed by a team that stands behind every record.

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One Schema. Global Coverage. Smarter Insights Everywhere.

POIs
80 M+
Brands
15 K+
Categories
900 +
Countries & Territories
195 +
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 See the difference in places data quality

A side-by-side look at real POI data: SafeGraph’s structured, validated output next to a typical raw feed from other providers.

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other data providers
SafeGraph data

How SafeGraph Stacks Up Against Dataplor

Safegraph Dataplor
Geometry & Precision
Building footprint polygons with sub-store hierarchy (e.g., a store-within-a-mall tied to parent geometry) Primarily point-level location data
Coverage Philosophy
Verified, deduplicated, production-ready records — built so every row is usable, not just counted Publicly markets 370M+ locations across 250+ countries; scale claims aren't paired with published accuracy or fill-rate benchmarks
Methodology Transparency
Public documentation of curation methodology, accuracy framework, coverage stats, and versioned release notes at docs.safegraph.com Public materials describe data as "proprietary" and "human-validated" but don't publish a comparable methodology, accuracy framework, or changelog
Update Frequency
Monthly refresh, every release versioned and documented in a public changelog Weekly refresh claimed; no public changelog detailing what changes between releases
Data Focus
Purpose-built places and geometry data — no mobility data collection Also collects foot traffic/mobility data alongside places data
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 Why Teams Choose SafeGraph Data

Production-Ready
from Day-1

Data arrives clean, structured, and normalized. No heavy preprocessing required.

Global
Coverage

One consistent schema for places data across every market you operate in.

Flexible
Delivery

Access data in Snowflake, AWS, Databricks, CARTO, Esri, and more.

Built for Real-World
Change

Frequent updates capture store openings, closures, and hours changes across geographies.

Less Time
Fixing Bad Data

Reduce engineering and analyst time spent sorting, cleaning, and reconciling inconsistent location data.

Monthly
Freshness

Places data refreshed every month, well ahead of the industry norm of 3 to 6 months.

What Teams Say About SafeGraph

“When the dataset is good, we can trust it to make business decisions. Working with SafeGraph data has made our jobs much easier in this regard.”
Andy Stevens

Andy Stevens

Chief Data Officer, Clear Channel
Europe

“With our previous data provider, the polygons didn’t always align to where stores really were. It took us sometimes a month or two to import and clean the data before we could even use it.”

Matt Taaffe

VP of Product, Olvin

“We expect nothing less than the gold standard in data…which is precisely why we decided to partner with SafeGraph.”

James Sexton-Barrow

Head of Planning at Mobsta

“With SafeGraph, we’ve not only improved the efficiency and effectiveness of our analysis but also have been able to increase our speed to value—now our analysts can answer our clients’ questions and deliver actionable insights faster than ever before.”

Julian Adams

Director of Data Science, Avison Young

“SafeGraph takes data quality very seriously—which is why, if a POI is included in the Places dataset, we can always trust it’s a real location.”

Oban MacTavish

CEO at Spade

Ready to Compare the Data, Not Just the Claims?

Get a walkthrough of SafeGraph Places data mapped to your exact use case, so you can decide based on real records, not marketing pages.

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