TrustRadius

dataTap vs. IBM SPSS Modeler

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
dataTap
Score 0.0 out of 10
N/A
dataTap is a user friendly visual data management platform from Zensors. The dataTap Python library is the primary interface for using dataTap's data management tools. Users can create datasets, stream annotations, and analyze model performance all with one library. Zensors states with dataTap, users can: - Begin training instantly - Work with all major ML frameworks…N/A
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.
$4,670
per year
Pricing
dataTapIBM SPSS Modeler
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
dataTapIBM SPSS Modeler
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional Details—IBM 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.
More Pricing Information
Community Pulse
dataTapIBM SPSS Modeler
Considered Both Products
dataTap

No answer on this topic

IBM SPSS Modeler
George DeMaagd, PharmD.,BCPS | TrustRadius Reviewer
George DeMaagd, PharmD.,BCPS
Professor of Pharmacy and Associate Dean of Academic Administration College of Pharmacy
Chose IBM SPSS Modeler
Python requires knowledge of programming, higher learning curve vs IBM SPSS Modeler
Tim Daciuk | TrustRadius Reviewer
Tim Daciuk
Director, Advanced Analytics
Chose IBM SPSS Modeler
IBM SPSS Modeler is considerably easier to use. It allows for very rapid development and the ability to get to a goal quickly. There is no need to learn a new programming language so the analyst has the ability to focus on the problem rather than the pedantics of managing …
Ben Holmes | TrustRadius Reviewer
Ben Holmes
Senior Data Scientist
Chose IBM SPSS Modeler
We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and …
Akos Krommer, CISA, ACDA | TrustRadius Reviewer
Akos Krommer, CISA, ACDA
Solution Specialist (Data Analytics)
Chose IBM SPSS Modeler
SPSS has a great set of analytical models, but SPSS is especially strong (compared to other tools) in complex statistical modeling and predictive analytics/statistics. However, the data connectivity features of SPSS are not the best, as the data sources SPSS can work with are …
Himanshu Singh | TrustRadius Reviewer
Himanshu Singh
Product Manager
Chose IBM SPSS Modeler
The field of data analytics has important value for each organization. IBM SPSS Modeler is one of the leaders in this highly competitive vertical. IBM SPSS is very intuitive compared with others, and has reduced the complexity. This software has various good functionalities …
Jesús Quintana | TrustRadius Reviewer
Jesús Quintana
Gerente de Ventas Sector Gobierno
Chose IBM SPSS Modeler
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.
Features
dataTapIBM SPSS Modeler
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
dataTap
-
Ratings
IBM SPSS Modeler
8.8
Ratings
5% above category average
Connect to Multiple Data Sources00 Ratings8.70 Ratings
Extend Existing Data Sources00 Ratings8.70 Ratings
Automatic Data Format Detection00 Ratings9.00 Ratings
MDM Integration00 Ratings9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
dataTap
-
Ratings
IBM SPSS Modeler
9.0
Ratings
6% above category average
Visualization00 Ratings9.00 Ratings
Interactive Data Analysis00 Ratings9.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
dataTap
-
Ratings
IBM SPSS Modeler
9.0
Ratings
10% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.00 Ratings
Data Transformations00 Ratings9.00 Ratings
Data Encryption00 Ratings9.00 Ratings
Built-in Processors00 Ratings9.00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
dataTap
-
Ratings
IBM SPSS Modeler
9.0
Ratings
7% above category average
Multiple Model Development Languages and Tools00 Ratings9.00 Ratings
Automated Machine Learning00 Ratings9.00 Ratings
Single platform for multiple model development00 Ratings9.00 Ratings
Self-Service Model Delivery00 Ratings9.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
dataTap
-
Ratings
IBM SPSS Modeler
9.0
Ratings
6% above category average
Flexible Model Publishing Options00 Ratings9.00 Ratings
Security, Governance, and Cost Controls00 Ratings9.00 Ratings
Best Alternatives
dataTapIBM SPSS Modeler
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 9.4 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.4 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Posit
Posit
Score 10.0 out of 10
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User Ratings
dataTapIBM SPSS Modeler
Likelihood to Recommend
-
(0 ratings)
9.5
(0 ratings)
Usability
-
(0 ratings)
8.8
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
dataTapIBM SPSS Modeler
Likelihood to Recommend
No answers on this topic
Modeler is well suited for understanding consumer data. The ability to create a prediction and then to understand what is driving that prediction is strong in Modeler. Modeler is closely aligned with the CRISP-DM data mining approach meaning it is not just the 'doing' but also the theoretical background behind the development of data mining models.
Tim Daciuk | TrustRadius Reviewer
Tim Daciuk
Director, Advanced Analytics
Read full review
Pros
No answers on this topic
  • A very nice and easy to use interface.
  • A great variety of analytics, from statistical calculation to data validation and predictive statistics.
  • Has a steep learning curve.
Akos Krommer, CISA, ACDA | TrustRadius Reviewer
Akos Krommer, CISA, ACDA
Solution Specialist (Data Analytics)
Read full review
Cons
No answers on this topic
  • Some Analyses aren't there out of the box but can be added through open languages like R and Python.
  • Graphs could be better.
  • Unable to read data stored in OLAP databases
Jesús Quintana | TrustRadius Reviewer
Jesús Quintana
Gerente de Ventas Sector Gobierno
Read full review
Usability
No answers on this topic
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
Read full review
Support Rating
No answers on this topic
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
Alternatives Considered
No answers on this topic
We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and I really like several of the helpful components for usability for SPSS like peaks into nodes.
Ben Holmes | TrustRadius Reviewer
Ben Holmes
Senior Data Scientist
Read full review
Return on Investment
No answers on this topic
  • I am able to study and work from home sustainably
  • I can help others have a high quality university education experience to graduate confident and competent to meet gaps in the wider community
  • Market research for my business
  • Help other small businesses to create viable and high quality products and services
  • Contribute to research projects: ethical, high quality data analyses and interpretation
Char Paul | TrustRadius Reviewer
Char Paul
Psych n Stats Tutor
Read full review
ScreenShots

dataTap Screenshots

Screenshot of Install the client library. `pip install datatap` Register at [app.datatap.dev](https://app.datatap.dev/). Then, go to `Settings > Api Keys` to find your personal API key. `export DATATAP_API_KEY="XXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXX"` To begin with, select a dataset from the dataTap repositoryScreenshot of Copy the starter code based on your library preferenceScreenshot of Paste the starter code and start training. from datatap import Api api = Api() coco = api.get_default_database().get_repository("_/coco") dataset = coco.get_dataset("latest") print("COCO: ", dataset)

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.