🆚 Greenhouse vs. Spark Hire

Compare technologies based on real-world usage data *

Type

HR management system
HR management system

About

Greenhouse is an applicant tracking system and hiring platform.

It automates workflows from job posting to onboarding, supports structured hiring with interview kits and scorecards, tracks sourcing channels and time-to-hire metrics, and offers over 400 pre-built integrations along with an open API.

Spark Hire Recruit (formerly Comeet) is an applicant tracking system designed to manage collaborative hiring with built-in assessments and workflow automation.

It offers drag-and-drop customizable hiring workflows, automated interview scheduling, AI-powered screening, automated reference checks, and both one-way and live video interview features.

Headquarters

New York, United States
Highland Park, Illinois, United States

Website

Pricing

Free version ❌
$6,000+/year
Free version ❌
Meet$299+/month
Recruit$399+/month

Categories

HR Management › Rank #3
HR Management › Rank #27

Popularity

Determined by the number of sites using each technology.

The Greenhouse HR management system is 20 times more popular than Spark Hire.
Total websites

Market share

HR Management

Popularity by country

Determined by the number of sites detected from each country.

Greenhouse is more popular in the United States, the United Kingdom, and Germany, while Spark Hire is more popular in Israel.
United States
United Kingdom
Germany
Canada
Brazil
India
Spain
France
Australia
Ireland

Popularity by domain category

Determined by the number of sites in each category.

Greenhouse is more popular than Spark Hire in all market segments.
Business
Software/Hardware
Marketing/Merchandising
Online Shopping
Internet Services
Finance/Banking
Health
Fashion/Beauty
Education/Reference
Restaurants

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#21,150
#66,700
#83,711
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.