AddMaple vs SPSS

Looking for an easy to use alternative to SPSS? Try AddMaple. It reads raw data files and gives you pivoted graph summaries of all your data in seconds, without requiring you to format the files. It is free for you to get started and unlike SPSS, it works on Mac and Linux.

SPSS is the heavyweight of the data analysis industry and it has been around since 1968! It is very powerful, but also very clunky to learn, use and set up.

AddMaple doesn’t claim to offer all of the functionality of SPSS, but it faster and more intuitive to use. You don’t need to upload your data, it remains on your device. Let it read your large datasets and perform powerful analysis to find hidden trends and correlations.

Let’s look at a few key features and compare SPSS and AddMaple

SPSS - Supports import of csv, xslx and sav files.

AddMaple - Supports import of csv, xslx and sav files. In addition supports additional file formats and integration to cloud platforms such as Google Drive, Typeform and Survey Monkey.

Both SPSS and AddMaple support large files that traditional spreadsheets struggle to open.

SPSS - No, SPSS requires complex configuration just to import a file and is very strict with its imports.

AddMaple - Yes, AddMaple automatically detects and cleans data. It can handle header rows in a set of data, a variety of CSV encodings including quoted and unquoted values, spaces in headings, etc.

SPSS - Yes, numerous analysis techniques are supported, from t-tests to regression analysis

AddMaple - AddMaple supports the most commonly used statistical tests - Chi-Square, ANOVA, T-Test, Pearson's and Spearman's Correlation. With AddMaple these tests are automically run on all your columns to help you find related columns. While not as flexible as SPSS, AddMaple provides an easy to understand powerful interface to a series of statistical tests. Read more about our approach here.

SPSS has no AI powered features as of the time of writing.

AddMaple supports extensive AI-enabled features that allow you to perform thematic analysis on free text data or get AI powered chart explanations.

SPSS allows you to create a wide range of graphs and charts to visualize your data, including bar charts, scatterplots, and line graphs.

AddMaple supports bar charts, stacked bar charts, time based charts, word clouds and likert charts. More chart types are being added regularly.

SPSS - Yes, but need to be exported in order to be shared

AddMaple - Yes, and reports can be published, password protected and shared via the Internet.

SPSS - No, charts can't be shared via a url or embed link

AddMaple - Yes, AddMaple allows you to quickly and easily share charts either via a url or an embed code. Shared charts can be embedded in Notion pages, websites or used on Social Media.

SPSS - Yes, but it is a fairly clunky interface

AddMaple - Yes, easy to use modern interface with support for and and or filters. Filters can be interactively added directly from a chart.

SPSS - Yes, but a large number of steps required

AddMaple - Yes, these can be created and visualised with a single click

SPSS - Yes, including NLP, but requires complex setup

AddMaple - Yes, instant ngrams visualized in an interactive word cloud. Text can be further analyzed with our AI tools allowing for summarization and thematic or categorical coding.

SPSS - Yes, comprehensive modelling features are included

AddMaple - No, but AddMaple can be used by data scientists to better understand and explore their data before using a tool designed for building and managing predictive models.

SPSS - Windows only

AddMaple - Runs on Mac, Linux, ChromeOs, Android, iOS (iPhone and iPad) and Windows - any device that runs a modern browser.

SPSS - Base cloud version starts at $99 a month, but the complete version costs $25,200 per year.

AddMaple - You can get started for free, after that plans are between $30 and $60 per month.

AddMaple offers a user-friendly, cost-effective alternative to SPSS for data analysis, making it accessible across various platforms such as Mac, Linux, Windows, iOS, and Android. Its intuitive design caters to users who seek a simplified data analysis process without the need for extensive training. By supporting numerous file formats and integrating with cloud services, AddMaple ensures seamless data handling.

Covering approximately 80% of SPSS’s use cases, AddMaple is sufficient for most data analysis tasks. It's intuitive user interface, automation and AI features make it more powerful than SPSS for those use-cases. While it lacks comprehensive predictive modeling, its ability to generate in depth insights at speed and easily share charts and reports adds significant value.

The speed of AddMaple stands out, both in terms of raw performance and efficiency. Automated data cleaning, summary generation and statistical calculations, significantly reduce the time required for data analysis. This rapid processing, combined with its straightforward interface, makes AddMaple an attractive option for users who prioritize speed and ease of use over extensive statistical modeling capabilities.