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Spark NLP vs Amazon Comprehend Comparison

Last updated:

Spark NLP

Starting at Contact for pricing

  • Large Enterprises
  • Medium Business

Spark NLP by John Snow Labs is an advanced Natural Language Processing Library accessible for Python, Java, and Scala developers. It houses the most up-to-date and highly accurate NLP models for production-level, scalabl…

Amazon Comprehend

4.0(18 reviews)

Starting at $1 Flat Rate Per Job

  • Individuals
  • Large Enterprises

Amazon Comprehend is a Natural Language Processing (NLP) Software that extracts structured information from text. It helps developers build applications that make sense of large volumes of unstructured data, such as text…

Amazon Comprehend leads on user satisfaction with a 4.0-star rating across 18 reviews.

SpotSaaS Analysis

Spark NLPAmazon Comprehend

The core difference lies in Spark NLP's focus on customizable, production-grade NLP models suitable for critical applications, while Amazon Comprehend excels in processing large volumes of unstructured text within AWS environments. Ideal buyers for Spark NLP are data scientists or developers with expertise in Python, Java, or Scala, whereas Amazon Comprehend is best suited for those familiar with AWS and APIs.

- Best for scalable, customizable NLP solutions - Ideal for production-grade enterprise environments - Requires skilled data scientists or developers - Focuses on highly accurate, academically validated models - Suitable for medium to large businesses - Notable for critical application use cases

- Best for processing large text volumes - Optimized for AWS environments - Efficient analysis of unstructured text datasets - Requires familiarity with AWS and APIs - Suitable for medium to large businesses - Pricing starts at $1 per usage

Spark NLP vs Amazon Comprehend — at a glance

FeatureSpark NLPAmazon Comprehend
Rating4.0 / 5
Reviews18
Starting priceContact for pricing$1 Flat Rate Per Job
Free trial No No
Free version No No
Best forLarge Enterprises, Medium Business, Small BusinessIndividuals, Large Enterprises, Medium Business
CategoryNatural Language Processing (NLP) SoftwareNatural Language Processing (NLP) Software
PlatformsSaaS/Web/CloudSaaS/Web/Cloud
APIAvailable
Support modesOnlineOnline
CertificationsSOC 2, HIPAA, GDPR, ISO 27001
Data residencyGlobalUS

Key differences between Spark NLP and Amazon Comprehend

  • Pricing: Amazon Comprehend starts at $1 Flat Rate Per Job. Spark NLP pricing is not publicly listed.
  • Target audience: Spark NLP is built for Large Enterprises and Medium Business, while Amazon Comprehend targets Individuals and Large Enterprises.
  • Deployment: Spark NLP supports SaaS/Web/Cloud; Amazon Comprehend supports SaaS/Web/Cloud.

Spark NLP vs Amazon Comprehend — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Natural Language Processing (NLP) Software tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

Spark NLP - Natural Language Processing (NLP) Software
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Amazon Comprehend - Natural Language Processing (NLP) Software
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Biggest differences

Start here before you go deeper into features.

Spark NLP

Best for scalable, customizable NLP in production-grade enterprise environments.

Choose if
  • You need highly accurate, academically validated NLP models for critical applications.
  • Your team includes data scientists or developers skilled in Python, Java, or Scala.
  • You require scalable, trainable NLP solutions tailored to specific enterprise workflows.
Consider alternatives if
  • Your organization lacks programming expertise or prefers no-code NLP tools.
  • You want an out-of-the-box solution with minimal setup and user interface focus.

Amazon Comprehend

Best for scalable, accurate NLP on large text volumes within AWS environments.

Choose if
  • You need to process and analyze massive unstructured text datasets efficiently.
  • Your team includes data scientists or developers comfortable with AWS and APIs.
  • You require combined entity recognition, sentiment analysis, and topic modeling in one tool.
Consider alternatives if
  • Your organization lacks technical resources to integrate and customize NLP APIs.
  • You want a simple, out-of-the-box NLP solution with minimal setup and UI.

Spark NLP: Best for scalable, customizable NLP in production-grade enterprise environments. Amazon Comprehend: Best for scalable, accurate NLP on large text volumes within AWS environments.

Description

Spark NLP by John Snow Labs is an advanced Natural Language Processing Library accessible for Python, Java, and Scala developers. It houses the most up-to-date and highly accurate NLP ... Read More about Spark NLP

Amazon Comprehend is a Natural Language Processing (NLP) Software that extracts structured information from text. It helps developers build applications that make sense of large volumes of ... Read More about Amazon Comprehend

Entry Level Pricing

  • Not Available
  • Starts from $1

Free Trial Availability

  • No free trial
  • No free trial

User Ratings

Based on verified Spotsaas reviews

Best Company Size

Medium BusinessLarge Enterprises
Medium BusinessLarge Enterprises
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Software Demo

Demo

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Compare Spark NLP and Amazon Comprehend on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Not Available
      • $1

      Pricing Plans

      • Not Available
      • Not Available

      Pricing Page

      Pricing information not available

      Amazon Comprehend pricing

      Other Details

      Organization Types supported

      • Large Enterprises
      • Medium Business
      • Small Business
      • Individuals
      • Freelancers
      • Large Enterprises
      • Medium Business
      • Small Business
      • Individuals
      • Freelancers

      Platforms Supported

      • Browser Based (Cloud)
      • Mobile - Android
      • Mobile - iOS
      • Installed - Windows
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android
      • Mobile - iOS
      • Installed - Windows
      • Browser Based (Cloud)

      Modes of support

      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online

      API Support

      • Not Available
      • Available
      Get help choosing
      Get help choosing

      Security & Compliance

      Certifications, data handling, and security controls for IT and compliance evaluators.

      SOC 2

      ✓ Yes

      HIPAA

      ✓ Yes

      GDPR

      ✓ Yes

      ISO 27001

      ✓ Yes

      Single Sign-On (SSO)

      ✓ Yes

      Multi-Factor Auth (MFA)

      ✓ Yes

      Data Encryption

      ✓ Yes

      Audit Logs

      ✓ Yes

      Data Residency

      🌐 Global
      🇺🇸 US

      Spark NLP User Reviews & Rating Comparison

      User Ratings

      No reviews available for the product

      Rating Distribution

      No reviews available for this product

      10

      2

      4

      1

      0

      Spotsaas Editor’s POV generated by AI

      Buyer sentiment

      No user ratings or reviews available to summarize buyer sentiment.

      What buyers like

      • High accuracy models
      • Multi-language support
      • Production-ready

      Common complaints

      • Complex setup process
      • Requires programming knowledge
      • Limited user interface

      Buyer sentiment

      Users appreciate Amazon Comprehend's powerful NLP capabilities and AWS integration but note a learning curve and pricing opacity.

      What buyers like

      • Accuracy of text analysis
      • Scalability
      • Integration with AWS services

      Common complaints

      • Complex setup
      • Pricing transparency

      Pros and Cons

      • Highly accurate and up-to-date NLP models

      • Supports multiple programming languages (Python, Java, Scala)

      • Scalable and trainable for production use

      • No public pricing information available

      • Requires programming knowledge to implement

      • Scalable processing of unstructured text data

      • Accurate entity, topic, and sentiment detection

      • Seamless integration with AWS ecosystem

      • Pricing can be unclear without direct sales consultation

      • Requires technical expertise to implement effectively

      Positive Reviews

      No reviews available for the product

      No reviews available for the product

      Negative Reviews

      No reviews available for the product

      No reviews available for the product

      List of Customers

      Customers

      No Customers information available.

      Roche

      Roche

      LexisNexis

      LexisNexis

      Fred Hutchinson

      Fred Hutchinson

      Media and Screenshots

      Videos

      video-0

      2 Videos

      video-0

      2 Videos

      Top Alternatives to Spark NLP and Amazon Comprehend in 2026

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

      Frequently asked questions

      Which is better, Spark NLP or Amazon Comprehend?
      Amazon Comprehend edges out the other on user ratings (4.0 vs -1.0). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
      Do Spark NLP and Amazon Comprehend offer a free trial?
      Neither Spark NLP nor Amazon Comprehend currently lists a free trial.
      What is the starting price of Spark NLP vs Amazon Comprehend?
      Spark NLP starts at Contact for pricing. Amazon Comprehend starts at $1 Flat Rate Per Job.
      What are the top alternatives to Spark NLP?
      Top alternatives to Spark NLP include Wordsmith, Amazon Comprehend, Humanloop, JAICP, NLP-API.
      What are the top alternatives to Amazon Comprehend?
      Top alternatives to Amazon Comprehend include teX-ai, Tinq.ai, Amazon Lex, yellow.ai, NLP-API.

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