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Databricks vs SAS Enterprise Miner comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
10th
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
Databricks
Ranking in Data Science Platforms
1st
Average Rating
8.2
Number of Reviews
82
Ranking in other categories
Streaming Analytics (1st)
SAS Enterprise Miner
Ranking in Data Science Platforms
17th
Average Rating
7.6
Number of Reviews
13
Ranking in other categories
Data Mining (7th)
 

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. The mindshare of Databricks is 19.1%, up from 19.1% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.7%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Sep 21, 2023
Enhancing survey analysis that provides valued insightfulness
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses The most valuable feature is its robust…
Dunstan Matekenya - PeerSpot reviewer
Jul 10, 2024
Process large-scale data sets and integrates with Apache Spark with notebook environment
I primarily use Databricks to process large-scale data sets with Apache Spark. My main use case is processing large data sets, such as 600 GB or 800 GB Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of…
HV
Aug 25, 2023
A stable product that is easy to deploy and can be used for structured and unstructured data mining
We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

Quotes from Members

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

Pros

"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"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."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"IBM SPSS Statistics depends on AI."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"It offers very good visualization."
"It is a modeling tool with helpful automation."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"It's great technology."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Databricks integrates well with other solutions."
"Automation with Databricks is very easy when using the API."
"It's very simple to use Databricks Apache Spark."
"The initial setup phase of Databricks was good."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"The solution is able to handle quite large amounts of data beautifully."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"I like the way the product visually shows the data pipeline."
 

Cons

"IBM SPSS Statistics does not keep you close to your data like KNIME."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"This solution is not suitable for use with Big Data."
"The solution needs to improve forecasting using time series analysis."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"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."
"The design of the experience can be improved."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"I have seen better user interfaces, so that is something that can be improved."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."
"The integration features could be more interesting, more involved."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The initial setup is challenging if doing it for the first time."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The user interface of the solution needs improvement. It needs to be more visual."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The ease of use can be improved. When you are new it seems a bit complex."
"The solution is much more complex than other options."
 

Pricing and Cost Advice

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"The price of IBM SPSS Statistics could improve."
"The price of this solution is a little bit high, which was a problem for my company."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"We think that IBM SPSS is expensive for this function."
"It's quite expensive, but they do a special deal for universities."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"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."
"The solution requires a subscription."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."
"The solution is affordable."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"Price-wise, I would rate Databricks a three out of five."
"Databricks are not costly when compared with other solutions' prices."
"This solution is for large corporations because not everybody can afford it."
"The solution must improve its licensing models."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
25%
University
12%
Educational Organization
11%
Insurance 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.
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analyti...
What do you like most about SAS Enterprise Miner?
I like the way the product visually shows the data pipeline.
What is your experience regarding pricing and costs for SAS Enterprise Miner?
The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a...
What needs improvement with SAS Enterprise Miner?
The product must provide better integration with cloud-native technologies.
 

Also Known As

SPSS Statistics
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Enterprise Miner
 

Learn More

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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
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Find out what your peers are saying about Databricks vs. SAS Enterprise Miner and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.