Compare the Top Natural Language Processing Software that integrates with Apache Spark as of August 2025

This a list of Natural Language Processing software that integrates with Apache Spark. Use the filters on the left to add additional filters for products that have integrations with Apache Spark. View the products that work with Apache Spark in the table below.

What is Natural Language Processing Software for Apache Spark?

Natural language processing (NLP) software analyzes both written and spoken human languages and interprets them for translation, deep learning and automation purposes. Natural language processing software may also include natural language understanding (NLU) capabilities. Compare and read user reviews of the best Natural Language Processing software for Apache Spark currently available using the table below. This list is updated regularly.

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    Spark NLP

    Spark NLP

    John Snow Labs

    Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.
    Starting Price: Free
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