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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Modeler

    Score9.6 out of 10
    N/AIBM 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

    Oracle Database

    Score8.2 out of 10
    N/AOracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

    $0.05

    per hour

    Pricing
    IBM SPSS ModelerOracle Database
    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
    Oracle Base Database Service - Standard
    $0.0538
    per hour
    Oracle Base Database Service - Enterprise
    $0.1075
    per hour
    Oracle Base Database Service - High Performance
    $0.2218
    per hour
    Standard Edition
    Contact Sales
    Enterprise Edition
    Contact Sales
    Personal Edition
    Contact Sales
    Offerings
    Pricing Offerings
    IBM SPSS ModelerOracle Database
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    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.—
    More Pricing Information
    Community Pulse
    IBM SPSS ModelerOracle Database
    Considered Both Products
    IBM
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    86%
    Would buy again
    24 Answers
    Delivers good value for the price
    No answers on this topic
    83%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    89%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    88%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    No answers on this topic
    91%
    Implementation went as expected
    21 Answers
    Features
    IBM SPSS ModelerOracle Database
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM SPSS Modeler and Oracle Database
    Feature
    IBM SPSS Modeler
    8.9
    2 Ratings
    6% above category average
    Oracle Database
    -
    Ratings
    Connect to Multiple Data Sources8.82 Ratings00 Ratings
    Extend Existing Data Sources8.82 Ratings00 Ratings
    Automatic Data Format Detection9.01 Ratings00 Ratings
    MDM Integration9.01 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM SPSS Modeler and Oracle Database
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    7% above category average
    Oracle Database
    -
    Ratings
    Visualization9.01 Ratings00 Ratings
    Interactive Data Analysis9.01 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM SPSS Modeler and Oracle Database
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    10% above category average
    Oracle Database
    -
    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 IBM SPSS Modeler and Oracle Database
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Oracle Database
    -
    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 IBM SPSS Modeler and Oracle Database
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Oracle Database
    -
    Ratings
    Flexible Model Publishing Options9.01 Ratings00 Ratings
    Security, Governance, and Cost Controls9.01 Ratings00 Ratings
    Relational Databases
    Comparison of Relational Databases features of IBM SPSS Modeler and Oracle Database
    Feature
    IBM SPSS Modeler
    -
    Ratings
    Oracle Database
    8.3
    7 Ratings
    2% above category average
    ACID compliance00 Ratings8.47 Ratings
    Database monitoring00 Ratings8.77 Ratings
    Database locking00 Ratings8.77 Ratings
    Encryption00 Ratings9.06 Ratings
    Disaster recovery00 Ratings8.86 Ratings
    Flexible deployment00 Ratings6.47 Ratings
    Multiple datatypes00 Ratings8.17 Ratings
    Best Alternatives
    IBM SPSS ModelerOracle Database
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS ModelerOracle Database
    Likelihood to Recommend
    9.7
    (8 ratings)
    8.2
    (199 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (6 ratings)
    Usability
    8.9
    (2 ratings)
    7.6
    (13 ratings)
    Support Rating
    10.0
    (1 ratings)
    7.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.6
    (3 ratings)
    User Testimonials
    IBM SPSS ModelerOracle Database
    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.
    Incentivized
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    Oracle
    We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
    Incentivized
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    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.
    Incentivized
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    Oracle
    • Supports most of the Operating Systems like Unix, Linux and Windows Server.
    • It works well in high load environment under intense parallel transactions setup.
    • Highly reliable DBMS, especially RAC is very much reliable.
    • Well managed and predictable release of security patches.
    • We have highly scaled it from on-prem to a cloud cluster environment for our product.
    • One of the best-performing DBMSs on Linux machines under test delivers high throughput (QPS).
    Incentivized
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    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.
    Incentivized
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    Oracle
    • The memory demand and management makes it impossible to run it in a container.
    • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
    • Lack of built in database migrations (e.g. as Flyway).
    • The need to install the Oracle client in addition to its drivers.
    • The cost of running it, especially in the Cloud.
    • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
    Incentivized
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    Likelihood to Renew
    IBM
    No answers on this topic
    Oracle
    There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
    Incentivized
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    Usability
    IBM
    The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources
    Incentivized
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    Oracle
    Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
    Incentivized
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    Support Rating
    IBM
    The online support board is helpful and the free add ons are incredibly appreciated.
    Incentivized
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    Oracle
    1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
    Incentivized
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    Implementation Rating
    IBM
    No answers on this topic
    Oracle
    Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
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    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.
    Incentivized
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    Oracle
    Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
    Incentivized
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    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.
    Incentivized
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    Oracle
    • Multiple applications can use the same database and still get high performance
    • Licensing cost is still a concern compared to the other options available in the market that are very very inexpensive
    • Almost a maintenance free database
    • Oracle Grid makes life easy in terms of monitoring and managing the databases
    Incentivized
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    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.