
Ravelry
PatternNest
StitchMath
Sashing is an iOS quilting calculator for backing, batting, binding, borders, sashing and half-square triangles. Every calculator shows its formula, and defaults keep you from over-cutting fabric. Works offline with no ads or account. Free to start.

MySQL
Microsoft SQL
SQLite
Oracle DBaaS
MongoDB
Oracle Database 12c
SAP HANA
PostgreSQL is a powerful, open source object-relational database system.

Which is more popular?
Based on our record, PostgreSQL seems to be more popular. It has been mentioned 19 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | getsashing.com | postgresql.org |
| Pricing | ||
| Platforms | — | |
| Company | 2026 | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


Sashing gives quilters fast, accurate fabric calculators for every part of a quilt, with defaults that keep you from over-cutting. Every calculator shows its formula, so you can check the numbers before you cut. It runs fully offline, with no ads and no account. Free calculators cover backing...
No description of PostgreSQL yet.
What each product offers, as listed by its team.


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


No analysis of Sashing yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
No Sashing videos yet. You could help us improve this page by suggesting one.
Comparison of PostgreSQL and MongoDB
More videos
How often each product is chosen within a category, 0–100% relative to the other.


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


We have no reviews of Sashing yet. Be the first one to post
Choosing the right database management system (DBMS) is a crucial decision that directly impacts your project’s performance and scalability. With a variety of options — SQL Server, MySQL, PostgreSQL, MongoDB, Oracle,...
Yes, several tools, such as MySQL, PostgreSQL, and MongoDB, offer free versions. While these are robust, enterprise editions or add-ons may come with additional costs for advanced features and support.
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqan’s platform provides a...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Sashing since Oct 2026.
In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 7 months ago
PostgreSQL 17 Performance Guide — Official docs for the latest performance improvements. - Source: dev.to / 7 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project... - Source: dev.to / about 1 year ago
When comparing Sashing and PostgreSQL, you can also consider the following products.
Ravelry is a community site, an organizational tool, and a yarn & pattern database for knitters and crocheters.
Compare Ravelry to Sashing or PostgreSQL:


Plan fabric layouts from SVG, DXF and vector PDF patterns with grain direction, cut-on-fold and pattern-matching rules. Runs locally in your browser. Free for up to 10 fabric pieces.
Compare PatternNest to Sashing or PostgreSQL:

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
Compare Microsoft SQL to Sashing or PostgreSQL:

Free AI-enhanced toolkit for knitters and crocheters. 20+ precise calculators for gauge, yardage, and pattern adjustments to ensure a perfect fit.
Compare StitchMath to Sashing or PostgreSQL:
