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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Glue

    Score8.8 out of 10
    N/AAWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.

    $0.44

    billed per second, 1 minute minimum

    IBM SPSS Statistics

    Score8.1 out of 10
    N/ASPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

    $105

    per month per user

    Pricing
    AWS GlueIBM SPSS Statistics
    Editions & Modules
    per DPU-Hour
    $0.44
    billed per second, 1 minute minimum
    Base
    USD 3,830
    one-time fee per user
    Standard
    USD 8,440
    one-time fee per user
    Professional
    USD 16,900
    one-time fee per user
    Premium
    USD 25,200
    one-time fee per user
    Monthly subscription
    USD 105
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    Offerings
    Pricing Offerings
    AWS GlueIBM SPSS Statistics
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    AWS GlueIBM SPSS Statistics
    Considered Both Products
    Amazon AWS
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    91%
    Delivers good value for the price
    42 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    97%
    Lived up to sales and marketing promises
    34 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    9 Answers
    97%
    Implementation went as expected
    35 Answers
    Best Alternatives
    AWS GlueIBM SPSS Statistics
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    Medium-sized Companies
    Toad Data Point
    Score8.4 out of 10
    Alteryx Platform
    Score9 out of 10
    Enterprises
    Datameer
    Score8.4 out of 10
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS GlueIBM SPSS Statistics
    Likelihood to Recommend
    9.1
    (10 ratings)
    8.5
    (116 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.5
    (23 ratings)
    Usability
    9.5
    (3 ratings)
    8.0
    (15 ratings)
    Availability
    -
    (0 ratings)
    6.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    6.0
    (1 ratings)
    Support Rating
    7.0
    (1 ratings)
    6.4
    (12 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.7
    (7 ratings)
    Configurability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    5.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    AWS GlueIBM SPSS Statistics
    Likelihood to Recommend
    Amazon AWS
    One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
    Incentivized
    Read full review
    IBM
    IBM SPSS Statistics is well suited for pretty much any data analytic scenario. It can handle extremely complex and large-scale datasets with ease. It especially shines if you have to do any kind of analyses that involve significance testing. Being able to do any number of significance tests (i.e., t-tests, chi-square, ANOVAs, etc.) right inside the tool is very valuable. The only scenario I would say it is less appropriate is if you need to work on a very small dataset and answer very simple questions, like frequencies or averages. In those cases, something like Excel could probably do the job just as easily.
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    Pros
    Amazon AWS
    • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
    • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
    • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
    Incentivized
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    IBM
    • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
    • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
    • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
    • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
    • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
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    Cons
    Amazon AWS
    • In-Stream schema registries feature people can not use this more efficiently
    • in Connections feature they can add more connectors as well
    • The crucial problem with AWS Glue is that it only works with AWS.
    Incentivized
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    IBM
    • Cost is becoming prohibitive.
    • Availability of procedures in the base package seems to be dwindling.
    • The copy-and-paste function from output to Excel is not as easy as it once was (now I have to do a "paste special").
    • Text and date handling are terrible.
    • Need to include AI-based NLP for survey verbatims and other text-based fields. This is becoming increasingly important in the CX world, yet SPSS seems to be ignoring it.
    Incentivized
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    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    IBM
    Both
    money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
    using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
    entry and data analysis for my research. Output from SPSS is very easy to
    interpret for data analysis and findings
    Incentivized
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    Usability
    Amazon AWS
    While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
    Incentivized
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    IBM
    Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
    Incentivized
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    Reliability and Availability
    Amazon AWS
    No answers on this topic
    IBM
    SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
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    Performance
    Amazon AWS
    No answers on this topic
    IBM
    SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
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    Support Rating
    Amazon AWS
    Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
    Incentivized
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    IBM
    I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
    Read full review
    Implementation Rating
    Amazon AWS
    No answers on this topic
    IBM
    Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
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    Alternatives Considered
    Amazon AWS
    AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
    Read full review
    IBM
    If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 years ago and has shown no desire to improve.
    Incentivized
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    Scalability
    Amazon AWS
    No answers on this topic
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
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    Return on Investment
    Amazon AWS
    • We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
    • One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
    Incentivized
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    IBM
    • I found SPSS easier to use than SAS as it's more intuitive to me.
    • The learning curve to use SPSS is less compared to SAS.
    • I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
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    ScreenShots

    IBM SPSS Statistics Screenshots

    Screenshot of SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.Screenshot of SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.Screenshot of IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.Screenshot of IBM SPSS Statistics Curated Help. These can interpret correlation output.Screenshot of IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language