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erwin Data Modeler
Toad Data Modeler
ER/Studio
SQL Developer Data Modeler
Moon Modeler
SQL Database Modeler
Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

Which is more popular?
Based on our record, Apollo.io should be more popular than pgModeler. It has been mentioned 69 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | pgmodeler.io | apollo.io |
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| Company | — | Startup from the United States |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
pgModeler 0.6.0-beta: Reverse engineering in action!
Free software to find email addresses - apollo.io review
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using pgModeler and Apollo.io. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


PgModeler (PostgreSQL Database Modeler) is an open-source data modeling tool specifically designed for PostgreSQL. It allows users to create, edit, and manage database structures through a visual interface, making it...
The right Apollo alternative fixes the part of Apollo that costs you meetings. Bad data calls for a better database, and a missing channel calls for a specialist tool next to Apollo.
What is the best AI prospecting tool for B2B sales in 2026? The best tool depends on your team's specific situation. toflow.ai is a strong fit for multi-channel outreach across email, LinkedIn, and WhatsApp, and is...
Apollo is a full sales engagement platform — sequences, email tracking, dialer, and a contact database. Their strength is email addresses, not phone numbers. Phone number coverage exists but it's thinner than...
Recommendations tracked on public social media and blogs since March 2021.


I wonder how this compares to pgModeler (https://pgmodeler.io/) which I've been using the most in the recent years, would love is someone who had tried both could share some observations. - Source: Hacker News / over 1 year ago
I usually go with the FOSS https://pgmodeler.io Its feature-rich, and its ability to compare database schemas makes updating and applying diffs much easier. - Source: Hacker News / over 1 year ago
Co-creator of Trek here. Trek generated migration files based on the diff between a pgModeler(1) schema definition and existing migration files. Trek also helps deploying those migrations. I'd be happy to respond to any questions here :)... - Source: Hacker News / almost 3 years ago
Personal email domains destroy this. Clearbit's Enrichment API returns a null company when it hits gmail.com. Apollo routes personal domains straight to a consumer bucket and skips B2B fields entirely. Even PDL's /person/enrich endpoint... - Source: dev.to / 6 months ago
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns... - Source: dev.to / 6 months ago
One thing comparison guides consistently get wrong: Clay is not an enrichment API. It's a waterfall orchestration tool that calls People Data Labs, Apollo, Clearbit, and others in sequence for you. It's useful, but it adds 2–8 seconds of... - Source: dev.to / 6 months ago
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