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Databricks vs Keyword Catcher: Revenue, Funding & Team Size Compared

Databricks generates $5.4B in revenue; Keyword Catcher has not disclosed its revenue. The table below compares Databricks and Keyword Catcher on funding, valuation, customers, team size and headquarters — every figure GetLatka has verified for each company.

Databricks vs Keyword Catcher compared on revenue, funding, valuation, customers and team size
CompanyDatabricks logoDatabricksThis companyKeyword Catcher logoKeyword Catcher
Revenue$5.4BNot disclosed
Valuation$134BNot disclosed
Funding raised$9BNot disclosed
Customers10KNot disclosed
Team size8KNot disclosed
Growth46%Not disclosed
Founded2013Not disclosed
HQSan Francisco, United StatesUnited States

Want the full dataset? GetLatka tracks revenue, funding and team history for thousands of SaaS companies, with charts, growth rates and founder interviews.

Databricks logo

Databricks at a glance

Databricks generates $5.4B in revenue with 8K employees, headquartered in San Francisco, United States.

Revenue
$5.4B
Valuation
$134B
Funding
$9B
Customers
10K
Team size
8K
Founded
2013

Databricks is a cloud-based data engineering, data science, and machine learning platform that provides tools for managing and processing large-scale data. The platform offers features such as data integration, automated data engineering…

Keyword Catcher logo

Keyword Catcher at a glance

Keyword Catcher is an AI-driven tool designed to optimize keyword research and SERP analysis by identifying high-value, low-competition keywords to enhance online visibility.

Other Databricks alternatives

Databricks competes with more than the companies on this page. Browse the full alternative lists to compare revenue, funding and team size across the category.

Databricks vs Keyword Catcher: frequently asked questions

How much revenue does Databricks make?

Databricks generates $5.4B in annual revenue with a team of 8K.

How much funding has Databricks raised?

Databricks has raised $9B in total funding since it was founded in 2013.