TrustRadius

IBM SPSS Modeler vs. Nextqore AI Data Preprocessor

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM SPSS Modeler
Score 9.4 out of 10
N/A
IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.
$499
per month
Nextqore AI Data Preprocessor
Score 0.0 out of 10
Small Businesses (1-50 employees)
Nextqore is an AI Data Preprocessor designed to get enterprise data ready for AI before it reaches any model. What It Does The platform is built on two standalone products. AnySource Data Combiner ingests and unifies data from disparate enterprise systems into a single, clean feed. Data Context Builder adds semantic and relational context, ontology, and full data lineage to that combined data. Each product solves a distinct problem and can be deployed on…
$1,200
per month per installation
Pricing
IBM SPSS ModelerNextqore AI Data Preprocessor
Editions & Modules
IBM SPSS Modeler Personal
4,670
per year
IBM SPSS Modeler Professional
7,000
per year
IBM SPSS Modeler Premium
11,600
per year
IBM SPSS Modeler Gold
contact IBM
per year
No answers on this topic
Offerings
Pricing Offerings
IBM SPSS ModelerNextqore AI Data Preprocessor
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptional$1,200 undefined
Additional DetailsIBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.Nextqore uses a consumption-based pricing model with three subscription tiers, priced by monthly data volume therein aligning with an enterprises consumption growth. Standard is $1,200/month for up to 10,000 unique rows processed; Professional is $2,800/month for up to 30,000 rows; Enterprise is $10,000/month for up to 100,000 rows. All three tiers include both core products (AnySource Data Combiner and Data Context Builder) plus Analytics, Visualization, Notifications, and the Enterprise AI Connector — the tiers differ only in volume limits and author/role counts, minimally by feature access. There is no minimum commitment period. Usage beyond the included volume is billed per additional 1,000 rows, at a rate that decreases by tier ($120 on Standard, $100 on Professional, $80 on Enterprise), so unit costs fall as consumption grows. Add-ons include a knowledge-graph-based Ontology/Business Schema layer ($500/month on Standard and Professional, included on Enterprise) and Machine Learning model add-ons priced per model per year ($1,300–$4,500 depending on tier). Organizations with non-standard volume, deployment, or SLA requirements can request a custom configuration directly from Nextqore.
More Pricing Information
Community Pulse
IBM SPSS ModelerNextqore AI Data Preprocessor
Features
IBM SPSS ModelerNextqore AI Data Preprocessor
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IBM SPSS Modeler
8.8
2 Ratings
5% above category average
Nextqore AI Data Preprocessor
-
Ratings
Connect to Multiple Data Sources8.62 Ratings00 Ratings
Extend Existing Data Sources8.62 Ratings00 Ratings
Automatic Data Format Detection9.01 Ratings00 Ratings
MDM Integration9.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM SPSS Modeler
9.0
1 Ratings
6% above category average
Nextqore AI Data Preprocessor
-
Ratings
Visualization9.01 Ratings00 Ratings
Interactive Data Analysis9.01 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IBM SPSS Modeler
9.0
1 Ratings
10% above category average
Nextqore AI Data Preprocessor
-
Ratings
Interactive Data Cleaning and Enrichment9.01 Ratings00 Ratings
Data Transformations9.01 Ratings00 Ratings
Data Encryption9.01 Ratings00 Ratings
Built-in Processors9.01 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IBM SPSS Modeler
9.0
1 Ratings
7% above category average
Nextqore AI Data Preprocessor
-
Ratings
Multiple Model Development Languages and Tools9.01 Ratings00 Ratings
Automated Machine Learning9.01 Ratings00 Ratings
Single platform for multiple model development9.01 Ratings00 Ratings
Self-Service Model Delivery9.01 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
IBM SPSS Modeler
9.0
1 Ratings
6% above category average
Nextqore AI Data Preprocessor
-
Ratings
Flexible Model Publishing Options9.01 Ratings00 Ratings
Security, Governance, and Cost Controls9.01 Ratings00 Ratings
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IBM SPSS ModelerNextqore AI Data Preprocessor
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Medium-sized Companies
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User Ratings
IBM SPSS ModelerNextqore AI Data Preprocessor
Likelihood to Recommend
9.5
(8 ratings)
-
(0 ratings)
Usability
8.8
(2 ratings)
-
(0 ratings)
Support Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
IBM SPSS ModelerNextqore AI Data Preprocessor
Likelihood to Recommend
IBM
Fast NLP analytics are very easy in SPSS Modeler because there is a built-in interface for classifying concepts and themes and several pre-built models to match the incoming text source. The visualizations all match and help present NLP information without substantial coding, typically required for word clouds and such. SPSS Modeler is good at attaining results faster in general, and the visual nature of the code makes a good tool to have in the data science team's repository. For younger data scientists, and those just interested, it is a good tool to allow for exploring data science techniques.
Ben Holmes | TrustRadius Reviewer
Ben Holmes
Senior Data Scientist
Read full review
Nextqore
No answers on this topic
Pros
IBM
  • Combine text and data
  • Provide facilities for all phases of the data mining process.
  • Use a node and stream paradigm to easily and quickly create models.
Tim Daciuk | TrustRadius Reviewer
Tim Daciuk
Director, Advanced Analytics
Read full review
Nextqore
No answers on this topic
Cons
IBM
  • Has very old style graphs, with lots of limitations.
  • Some advanced statistical functions cannot be done through the menu.
  • The data connectivity is not that extensive.
  • It's an expensive tool.
Akos Krommer, CISA, ACDA | TrustRadius Reviewer
Akos Krommer, CISA, ACDA
Solution Specialist (Data Analytics)
Read full review
Nextqore
No answers on this topic
Usability
IBM
The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources
JM
Jim McDonough
President
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Nextqore
No answers on this topic
Support Rating
IBM
The online support board is helpful and the free add ons are incredibly appreciated.
Char Paul | TrustRadius Reviewer
Char Paul
Psych n Stats Tutor
Read full review
Nextqore
No answers on this topic
Alternatives Considered
IBM
When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.
Jesús Quintana | TrustRadius Reviewer
Jesús Quintana
Gerente de Ventas Sector Gobierno
Read full review
Nextqore
No answers on this topic
Return on Investment
IBM
  • Positive - Ease of decision making and reduction in product life cycle time.
  • Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
  • Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.
Himanshu Singh | TrustRadius Reviewer
Himanshu Singh
Product Manager
Read full review
Nextqore
No answers on this topic
ScreenShots

IBM SPSS Modeler Screenshots

Screenshot of Use a single run to test multiple modeling methods, compare results and select which model to deploy. Quickly choose the best performing algorithm based on model performance.Screenshot of Explore geographic data, such as latitude and longitude, postal codes and addresses. Combine it with current and historical data for better insights and predictive accuracy.Screenshot of Capture key concepts, themes, sentiments and trends by analyzing unstructured text data. Uncover insights in web activity, blog content, customer feedback, emails and social media comments.Screenshot of Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics. Extend and complement these technologies for more advanced analytics while you keep control.

Nextqore AI Data Preprocessor Screenshots

Screenshot of Nextqore AI Deployment FrameworkScreenshot of Nextqore AI Preprocessor, Products and Deployment results