SPSS 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
Microsoft Access
Score 7.4 out of 10
N/A
Microsoft Access is a database management system from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools.
SPSS strikes the right balance between power and usability. Unlike SAS Viya, it does not require huge investment or specialized staff. It goes far beyond basic statistics when compared to MS Excel and it is very versatile to support multiple departments and business function. …
It's easier to learn and use for the non-data scientist. it integrates well with other IBM products, and it priced appropriately and can scale up as needed.
Excel is fine for baseline level data analysis, but it is more user heavy to perform certain functions. IBM SPSS Statistics allows for the user to do less taxing work in the analysis portion with its preset tools and functions.
It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
I mainly use IBM SPSS Statistics because my university offers it to everyone for free. IBM SPSS Statistics handles statistical functions in a simple way that is easy to learn.
SAS is a very good product. SPSS provided our firm everythinbg we needed and was well within our budget. Also know that IBM is contunusely investing into SPSS. The roadmaps looks good.
Advanced statistical analysis is possible which is not possible in powerbi. It is very much easy to prepare basic charts. I dept statistical tests like regression analysis can be done. It is user -friendly and even layman can understand basic data easily through IBM SPSS's …
Data Scientist ,Pre-Sales,Consultor/Instrutor em Estatística e Mineração de dados em Big Data
Chose IBM SPSS Statistics
I also point out that the two softwares are complementary, then IBM SPSS Statistics works very well with statistical tests, creation and visualization of detailed tables and creation of statistical project models and project models. The IBM SPSS Modeler helps you quickly view …
Occupational Safety, Health, and Environment Technician
Chose IBM SPSS Statistics
I have also used other statistical software such as the SAP Predictive Analytics software, SAP possesses most of the decode options as SPS, but it is not as graphical and easier to use as SPS. Thus, IBM SPSS Statistics was chosen as a primary and powerful statistical tool that …
IBM SPSS Statistics stacks up much better and overall gives the user a much better as well as simpler means to achieve their end goal. It provides a comprehensive set of well tested data management, along with statistical procedures in an easy to use and all in one package …
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 …
We used IBM SPSS Statistics as it works well with the other IBM tools that we use. It may not work as well for smaller organizations with limited budget/resources. We have a mix of technical and devops people and this tool is easily used by everyone on the team globally.
I have on many occasions launched new versions of a big Python application in production, only to immediately drown in errors, caused by exceptions that were in turn caused by Python code where a single glance confirmed that it could never ever work and consequently had never …
IBM SPSS Statistics is much more professional and geared towards market research applications. The built in queries save time and avoid mistakes. In Excel you can also do powerful things, but it is less geared towards scientific or statistical research. Running a regression …
IBM SPSS Statistics is much easier to use, even in classes with students, compared to other similar data analytic software that I have used previously. I selected it because of this reason and I plan to continue using it in the future. The interface is user friendly and the …
I, along with my supervised research student, used IBM SPSS Statistics compared to other software because of its simplicity and user-friendliness. A timeframe is a fundamental part of research work. Time is precious for both of us in terms of research work and using IBM SPSS …
The price of IBM SPSS and its quality-price ratio was one of the triggers for choosing the software over the competition. The ease of obtaining a demo of the product and the continuous training it presents was another of the key points in the decision making we made in the …
Its better for quick tasks, Psychology, Sociology, may lack in complex models, AI, or business-decision-making models. It's better for things that you want to compare, correlate or detect influence of one on the other. It's worse that R for complex models, custom models, big …
Microsoft Access is used independently of Microsoft's Office suite (also in use) at our company - the usual applications: Word, Excel, Outlook, etc. and does not really overlap. Microsoft Access was selected as a simple, functional inventory database based on ease of data …
Microsoft Access is a superb software in database management system. I have been using it for many years without any hesitations. The software is making it different from other software with its awesome features. The software is cost effective for the organisation. It also …
Excel is a fantastic - robust application that can do so much so easily. Its easy to train and understand. However - excel does not provide a reporting function and that is typically where we will suggest a move to [Microsoft] Access. [Microsoft] Access requires a little more …
With [Microsoft] Access I am able to quickly create simple database driven solutions with built in UI and reporting in one tool. Advanced coding is not necessary and the tool guides you through building out. Opponents for a robust, end-to/end product.
Having used Snowflake, I can definitely say that both of these tools are very easy to use and value for money. Although for me, the aspects where Microsoft Access stacks up are its low cost and usability. Snowflake is good with its cloud-based system but for startups where the …
I haven't really used another database product other than Microsoft Access since the mid-90s. I don't even remember which program I did use, but needless to say, it did not have as much functionality nor was it as user friendly as databases today. So I really can't say how …
Crystal is easier for report writing, but isn't a database solution. Salesforce is lovely, but much more expensive than an old copy of Microsoft Office. For a small budget, [Microsoft] Access was really the only viable option. I only wish it was easier to write complex reports.
[Selected Microsoft Access for] employee learning simplicity, attractive graphical environment and features of Microsoft 365 with responsive Microsoft support.
Visual FoxPro is a discontinued software, and no longer has support. Also, very few people still use it, or ever know how to use it. Excel is very popular, but [Microsoft] Access can do things like data joins much easier and faster
Although SQL is a full-blown platform for heavy database management, Microsoft Access serves the purpose perfectly for small and mid-scale enterprises. It is also perfect for people just getting started with database management. The graphical user interface is a major plus …
Microsoft Access is better for large files and backlogs than Excel because it can handle the workload. Excel is great as well, but filtering and searching is limited, and it can crash rather easily. You don't see those problems with Access.
We've actually started to use both of these programs. There are pros and cons to both. Microsoft Access is best for linking two sets of data that already have a common shared field (i.e. both sets of data include a student ID number, social security number, etc) Airtable is best …
SharePoint is good for simple data structures, use of workflow, integration with AD, etc. But SharePoint does not support fully relational data or complex reporting, whereas Access absolutely does.
Being a similar "Windows application" it's easier to start to use as part of Office. Also, the GUI capabilities are much more advanced than other high-performance databases.
Unlike enterprise-level databases, MS Access doesn't require setting up a complex server environment with user security schemes. It's an excellent tool for small scale databases where purchasing and setting up a product like MS SQL Server could be an overkill. Unlike …
Tableau is not even a 'switch-out' tool, it's for visualization so it's not a fair comparison. Against other databasing tools, MySQL is still my favorite may be simply due to being a creature of comfort because that's where I first learned to manage DB. However, Microsoft …
MS SQL is a more powerful tool but I love the reporting feature in MS Access. MS Excel is useful for complex calculations but to me, MS Access helps me organize that data. InfoPath is similar to MS Access in that you can create forms for data entry, but it does not include …
IBM SPSS is robust for analyzing market research, survey data, academic research, and business performance. The software is valuable for identifying trends, measuring relationships, and testing hypotheses, which helps forecast and generate accurate statistical reports. This software conducts data validation, cleaning, and analysis well, transforming raw data into efficient results.
Microsoft Access can be easily implemented with training. It doesn't require expert level skill for basic reporting functions - but can be scaled to a complex database with sophisticated users. Its appropriate to consider if excel needs to be used to create reports, or if there are data entry needs - with corresponding reports.
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.
collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
It's super easy to use for newbies and super powerful for power users! It does EVERYTHING you are usually asked to do analytically. Their Help Desk is PHENOMENAL. And I find the upgrade and renewal price to be a good deal.
I and the rest of my team will renew our Microsoft Access in the future because we use and maintain many different applications and databases created using Microsoft Access so we will need to maintain them in the future. Additionally, it is a standard at our place of work so it is at $0 cost to us to use. Another reason for renewing Microsoft Access is that we just don' t have the resources needed to extend into a network of users so we need to remain a single-desktop application at this time.
SPSS is beginner friendly and user-friendly for beginner analysts and simple statistical tests. It's "click and go" interface does take some learning, but overall this is much easier than other programs I have used and seen. Compared to SAS software, SPSS takes a great deal less familiarizing and it not a matter of learning a coding language like SAS and RStudio.
Microsoft Access is easy to use. It is compatible with spreadsheets. It is a very good data management tool. There is scope to save a large amount of data in one place. For using this database, one does not need much training, can be shared among multiple users. This database has to sort and filtering features which seem to be very useful.
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
While I have never contacted Microsoft directly for product support, for some reason there's a real prejudice against MS Access among most IT support professionals. They are usually discouraging when it comes to using MS Access. Most of this is due to their lack of understanding of MS Access and how it can improve one's productivity. If Microsoft invested more resources towards enhancing and promoting the use of MS Access then maybe things would be different.
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.
It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
Microsoft Access is used independently of Microsoft's Office suite (also in use) at our company - the usual applications: Word, Excel, Outlook, etc. and does not really overlap. Microsoft Access was selected as a simple, functional inventory database based on ease of data entry, search functionality and avoiding the need for a separate ERP module.
It frustrates my data analysts because no one uses it any more (everyone uses r).
It consumes my time, because I am one of 2 people in a 100+ person organization who remembers how to use it, so any time a person needs help I have to dig into the depths of my memory.
Their licensing is over-priced and upsets my managers and accounting team.