
It is a Natural Language Processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. It comes with 160+ pretrained pipelines and models in more than 20+ languages.
122
companies
Technology
is any of
Spark NLP
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
United States | Retail Apparel and Fashion | 2.9k | $353M | ![]() Spark NLP | |
United States | IT Services and IT Consulting | 634 |
| ![]() Spark NLP | |
United States | IT Services and IT Consulting | 98 | $7M | ![]() Spark NLP | |
United States | Business Consulting and Services | 595 |
| ![]() Spark NLP | |
United States | Hospitals and Health Care | 300k | $331B | ![]() Spark NLP | |
United States | IT Services and IT Consulting | 141 | $12M | ![]() Spark NLP | |
United Kingdom | Online Audio and Video Media | 50 |
| ![]() Spark NLP | |
Netherlands | IT Services and IT Consulting | 4.6k | $1.2B | ![]() Spark NLP | |
Singapore | Software Development | 469 |
| ![]() Spark NLP | |
Japan | Financial Services | 1k | $2.6B | ![]() Spark NLP |
We have data on 122 companies that use Spark NLP. Our Spark NLP customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Spark NLP is used in 195 countries
There are 32k alternatives to Spark NLP

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Technology Usage Statistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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Frequently asked questions