Alteryx vs Dataiku comparison

Sponsored
 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
9th
Average Rating
8.0
Number of Reviews
36
Ranking in other categories
Data Mining (3rd)
Alteryx
Ranking in Data Science Platforms
3rd
Average Rating
8.4
Number of Reviews
76
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
Dataiku
Ranking in Data Science Platforms
7th
Average Rating
8.2
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 3.0%, up from 2.3% compared to the previous year. The mindshare of Alteryx is 6.1%, down from 7.9% compared to the previous year. The mindshare of Dataiku is 12.9%, up from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
Unique Categories:
Data Mining
21.6%
Predictive Analytics
25.5%
Data Preparation Tools
36.4%
No other categories found
 

Featured Reviews

Md Masudul Hassan - PeerSpot reviewer
Jan 27, 2024
Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts
I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.
Victor Bethapudy - PeerSpot reviewer
Nov 21, 2023
Feature-rich ETL that condenses a number of functions into one tool
In terms of improvement, the transition from the desktop to the cloud can be challenging. While the desktop piece works seamlessly within the company's security architecture, when you load workflows onto the cloud, the same connections don't translate due to firewall issues. It would be beneficial if this transition could be made more seamless and straightforward for users. The solution is already feature-rich and doesn't require any improvements. Their current versions are ahead of the curve. Their machine learning and predictive modeling features place them at the forefront. Some advanced features are more than what's needed for our regular business purposes.
MG
Dec 4, 2019
User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow
I think the interface is very nice, but for somebody who is not as familiar with IT as I am, it may be much more difficult for them. It is nice for me because I'm familiar with this type of software that falls in the realm of the data science platform. I can see how a client who really doesn't know anything about IT or computers might try to use it and find that it would be a little difficult to access some features. That type of user may really need training in order to work with Dataiku. So, in the next release of Dataiku DSS (Data Science Studio), they should make it more friendly for everybody to use, not just IT people. For me, I find that it is a little slow during use. When I use Dataiku to run my script to transfer data, it takes more time than I would expect for the operation to complete.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"SPSS is quite robust and quicker in terms of providing you the output."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"in terms of the simplicity, I think the SPSS basic can handle it."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"The most valuable feature is the user interface because you don't need to write code."
"The connectors are a very good feature."
"The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"It is a stable and scalable solution."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"It saves time on a lot projects. ​"
"It helps clean messy data and provides spatial analysis."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"Predictive models, which are easy to use, and help a lot with fast design and deployment​."
"Cloud-based process run helps in not keeping the systems on while processes are running."
"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."
"Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors."
"Data Science Studio's data science model is very useful."
"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."
"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
"The most valuable feature is the set of visual data preparation tools."
"The solution is quite stable."
 

Cons

"Technical support needs some improvement, as they do not respond as quickly as we would like."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"I think the visualization and charting should be changed and made easier and more effective."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"It could provide even more in the way of automation as there are many opportunities."
"It would be great to create the final users' visualization within Alteryx."
"The next feature release should include easier reporting."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"Alteryx is just as complicated as coding, in my opinion."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"There are no ready models to use in analytics."
"I honestly can't think of anything that needs to be improved."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."
"There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders."
"I think it would help if Data Science Studio added some more features and improved the data model."
"The ability to have charts right from the explorer would be an improvement."
 

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."
"It's quite expensive, but they do a special deal for universities."
"I rate the tool's pricing a five out of ten."
"The price of this solution is a little bit high, which was a problem for my company."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
"Alteryx is an expensive solution."
"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
"ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
"Alteryx isn't extortionately expensive, but it's not cheap either."
"​Very transparent.​"
"I rate the solution's pricing as a ten, as it is highly priced."
"The designer license costs 5000 euros. The server edition is 1000 euros."
"Pricing is pretty steep. Dataiku is also not that cheap."
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
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Top Industries

By visitors reading reviews
University
17%
Educational Organization
13%
Computer Software Company
9%
Financial Services Firm
8%
Financial Services Firm
23%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
5%
Financial Services Firm
18%
Educational Organization
15%
Manufacturing Company
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
While the pricing of the product may be higher, the accompanying service and features justify the investment. However...
What needs improvement with IBM SPSS Statistics?
In some cases, the product takes time to load a large dataset. They could improve this particular area.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me direc...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, ...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say...
What is your experience regarding pricing and costs for Dataiku Data Science Studio?
Pricing is pretty steep. Dataiku is also not that cheap. It depends on the client and how much they want to spend tow...
What needs improvement with Dataiku Data Science Studio?
The no-code/low-code aspect, where DataRobot doesn't need much coding at all. Dataiku still needs some coding, and th...
What is your primary use case for Dataiku Data Science Studio?
My current client has Dataiku. We do sentiment analysis and some small large language models right now. We use Dataik...
 

Comparisons

 

Also Known As

SPSS Statistics
No data available
Dataiku DSS
 

Learn More

Video not available
 

Overview

 

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Find out what your peers are saying about Alteryx vs. Dataiku and other solutions. Updated: July 2024.
793,295 professionals have used our research since 2012.