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Compare BigML and Stanford CoreNLP 
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At a Glance
Market Segments
Small-Business (87.5% of reviews)
Small-Business (60.0% of reviews)
Entry-Level Pricing
$30 per month
No pricing available
BigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Entry-Level Pricing
$30 per month
Browse all 3 pricing plansStanford CoreNLP
Star Rating
(10)4.3 out of 5
Market Segments
Small-Business (60.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Stanford CoreNLPBigML vs Stanford CoreNLP
- BigML and Stanford CoreNLP both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that BigML is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of BigML over Stanford CoreNLP.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
Stanford CoreNLP
No pricing availableFree Trial
BigML
No trial information availableStanford CoreNLP
No trial information availableRatings
Meets Requirements
9.2
24
9.2
10
Ease of Use
9.0
24
8.3
10
Ease of Setup
9.2
22
8.5
10
Ease of Admin
9.3
22
8.1
6
Quality of Support
9.5
22
6.7
6
Has the product been a good partner in doing business?
9.1
22
Not enough data
Product Direction (% positive)
9.5
24
5.3
10
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
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Model Development
Not enough data
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Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
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Not enough data
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Machine/Deep Learning Services
Not enough data
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Not enough data
Deployment
Not enough data
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Generative AI
Not enough data
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Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Algorithm
Not enough data
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System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
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Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
BigML and Stanford CoreNLP share no categories
Unique Categories
BigML is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, and Low-Code Machine Learning Platforms
Stanford CoreNLP is categorized as Natural Language Understanding (NLU)
Reviews
Reviewers' Company Size
BigML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Stanford CoreNLP
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
83.3%
Management Consulting
4.2%
International Trade and Development
4.2%
Electrical/Electronic Manufacturing
4.2%
Alternative Dispute Resolution
4.2%
Other
0.0%
Retail
10.0%
Research
10.0%
Public Policy
10.0%
Online Media
10.0%
Management Consulting
10.0%
Other
50.0%
Alternatives
Discussions
BigML has no discussions with answers
Stanford CoreNLP has no discussions with answers
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