Dremio vs IBM SPSS Statistics comparison

Why PeerSpot?

Dremio and IBM are both solutions in the Data Science Platforms category. Dremio is ranked #9 with an average rating of 8.1, while IBM is ranked #10 with an average rating of 8.8. Dremio holds a 2.0% mindshare in Data Science Platforms, compared to IBM’s 3.3% mindshare. Additionally, 100% of Dremio users are willing to recommend the solution, compared to 89% of IBM users who would recommend it.

Dremio

Read 14 Dremio reviews

4,948 Views
2,523 Comparison Views

100% willing to recommend

IBM SPSS Statistics

Read 41 IBM SPSS Statistics reviews

7,780 Views
4,746 Comparison Views

89% willing to recommend

Dremio

IBM SPSS Statistics

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 15, 2026

IBM SPSS Statistics and Dremio both compete in the data analysis and management market. While IBM SPSS is preferred for its strong statistical and modeling features, Dremio holds an advantage in data integration and management across diverse storage solutions.

Features: IBM SPSS Statistics provides extensive modeling techniques, including regression, PCA, and Bayesian statistics. It offers support for a wide array of statistical models and machine learning algorithms. It also allows users to create custom tables for enhanced data analysis processes. Dremio allows seamless integration with multiple data sources and is notable for its data lineage and query capabilities. It provides a flexible environment that enhances the management of data stored in various locations and integrates effortlessly with most data storage platforms.

Room for Improvement: IBM SPSS users suggest enhancement in data visualization tools, more intuitive interfaces, and better big data support. Reducing the complexity of user programming and improving documentation are also recommended. Dremio users report challenges with Delta connector support, performance in large queries, and issues integrating with specific data platforms. They also indicate a need for more efficient SQL generation and data processing improvements.

Ease of Deployment and Customer Service: IBM SPSS predominantly operates on-premises, which ensures control but can be resource-intensive. Customer service experiences vary, with some users suggesting improvements in technical support responsiveness. Dremio offers deployment across public and hybrid cloud setups, enabling greater flexibility. However, users have experienced slower responses from customer service when handling technical issues, indicating a need for smoother support systems.

Pricing and ROI: IBM SPSS Statistics is often viewed as expensive, posing challenges for educational institutions despite its strong ROI in data analytics. The high cost is sometimes justified by its features, but users desire more flexible pricing. Dremio, although considered expensive in licensing, is viewed as cost-effective compared to competitors like Snowflake and is appreciated for its scalability. Users believe it offers positive ROI when used effectively.

To learn more, read our detailed Dremio vs. IBM SPSS Statistics Report (Updated: September 2026).

Buyer's Guide

Dremio vs. IBM SPSS Statistics

September 2026

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Review summaries and opinions

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

ROI

Sentiment score

4.0

Dremio offers cost savings and efficiency by reducing infrastructure needs and simplifying data source integration on data lakes.

Sentiment score

4.5

IBM SPSS Statistics offers user-friendly data analysis, enabling significant time and cost savings with an estimated 50% ROI.

Dremio surely saves time, reduces costs, and all those things because we don't have to worry so much about the infrastructure to make the different tools communicate.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio report

No quotes available

For more quotes and insights, download the IBM SPSS Statistics report

Customer Service

Sentiment score

6.1

Dremio's customer service is highly praised for responsiveness, with Gold plan users enjoying positive interactions despite some limitations.

Sentiment score

5.8

Users find online resources valuable for IBM SPSS support, though direct support is generally prompt, courteous, and solution-focused.

I would rate customer support a ten out of ten.

reviewer2913786

Director

We contact the technical support at least weekly; currently, it's more or less daily because we face performance issues, crashes of queries sometimes, and we also need support for configuration of the query engines and so on.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

We have had to reach out for customer support many times, and they respond, so they are pretty supportive about some long-term issues.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio report

No quotes available

For more quotes and insights, download the IBM SPSS Statistics report

Scalability Issues

Sentiment score

7.3

Dremio's scalability excels, with user-configurable auto-scaling on Kubernetes/Docker, meeting large-scale needs, but some features require licensing.

Sentiment score

5.9

IBM SPSS Statistics is praised for scalability but may face challenges with extremely large datasets or older hardware.

Dremio's scalability can handle growing data and user demands easily.

Corrr Moray

SR BI developer at BRQ Digital Solutions

Internally, if it's on Docker or Kubernetes, scalability will be built into the system.

KamleshPant

Senior Software Architect at USEReady

Dremio's scalability depends on your hardware and your deployment.

reviewer2913786

Director

For more quotes and insights, download the Dremio report

No quotes available

For more quotes and insights, download the IBM SPSS Statistics report

Stability Issues

Sentiment score

7.2

Dremio users report stable performance overall, despite occasional memory leaks, scalability issues, and the need for frequent monitoring.

Sentiment score

7.4

IBM SPSS Statistics is reliably stable, efficiently handling large datasets, but newer versions may face stability issues under heavy data loads.

I rate Dremio a nine in terms of stability.

Corrr Moray

SR BI developer at BRQ Digital Solutions

We refactored the query, and that worked, but it still doesn't make you confident to go to production with a product that might crash depending on the query you send it.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

For more quotes and insights, download the Dremio report

No quotes available

For more quotes and insights, download the IBM SPSS Statistics report

Room For Improvement

Dremio users face issues with performance, connectors, learning curve, and desire better integration and schema flexibility.

IBM SPSS needs better visualization, big data support, modern interface, automation, and affordable licensing for improved usability and analysis.

Starburst comes with around 50 connectors now.

KamleshPant

Senior Software Architect at USEReady

Before we wrap up, I want to add that Dremio is lacking a semantic layer in a manner that the user can just choose dimensions, metrics, and filters to query the data.

reviewer2913786

Director

It should be easier to get Arctic or an open-source version of Arctic onto the software version so that development teams can experiment with it.

reviewer2769915

Data Consultant at a comms service provider with 201-500 employees

For more quotes and insights, download the Dremio report

I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

It does not handle very large data sets well. When there are 100,000 respondents, it does not manage effectively and crashes more often when the data set becomes very large or while merging yearly waves such as 2018, 2019, 2020 to 2026.

Sidhant Sidharth

Data Analyst at Toluna

I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

For more quotes and insights, download the IBM SPSS Statistics report

Setup Cost

Dremio offers cost-effectiveness but licensing is costly, leading some users to prefer the community version for scalability.

IBM SPSS Statistics' high pricing limits adoption, especially for advanced features, despite discounts for universities and students.

I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.

Burak Uğur

Data Engineer at a tech services company with 201-500 employees

I had a good experience with pricing, as the pricing seems okay to me and the client.

reviewer2913786

Director

Dremio does have a core of the engine that is open-source, but all the important features for the enterprise version are under license.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

For more quotes and insights, download the Dremio report

No quotes available

For more quotes and insights, download the IBM SPSS Statistics report

Valuable Features

Dremio excels in data virtualization, federated queries, and integration, enhancing data management and access with efficient tools.

IBM SPSS Statistics offers user-friendly, robust analysis tools, supports large datasets, integrates Python, and provides extensive statistical modeling options.

Having everything under one system and an easier-to-work-with interface, along with having API integrations, adds significant value to working with Dremio.

reviewer2769915

Data Consultant at a comms service provider with 201-500 employees

Dremio has positively impacted my organization as nowadays we are connected to multiple databases from multiple environments, multiple APIs, and applications, and Dremio organizes everything in an amazing way for me.

Joao Silveira

Data Analyst at a insurance company with 501-1,000 employees

Multiple data sources can be queried in one query, and it is not just a query engine.

Burak Uğur

Data Engineer at a tech services company with 201-500 employees

For more quotes and insights, download the Dremio report

Predictive analytics is the most important part of analytics.

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

IBM SPSS Statistics provides excellent data visualization features that other tools do not have.

Sidhant Sidharth

Data Analyst at Toluna

I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

For more quotes and insights, download the IBM SPSS Statistics report

Categories and Ranking

Dremio

Ranking in Data Science Platforms

9th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (10th)

IBM SPSS Statistics

Ranking in Data Science Platforms

10th

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (2nd), AI Data Analysis (23rd), AI Research (8th)

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of Dremio is 2.0%, down from 2.9% compared to the previous year. The mindshare of IBM SPSS Statistics is 3.3%, down from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dremio	2.0%
IBM SPSS Statistics	3.3%
Other	94.7%

Data Science Platforms

Featured Reviews

Corrr Moray

SR BI developer at BRQ Digital Solutions

Has simplified complex data integration workflows and supported consistent reporting across multiple sources

We also have a close relationship with the team that does the Dremio maintenance for the database, like upgrading the versions and they know about some specific problems we had in the past, such as a memory leak. We had a memory leak on some versions, which sometimes stopped the service. Since we are using Dremio installed like a server, not a SaaS solution, many times we need to stop and restart the service to clear all the cache and all that, and this is the thing I should add. I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement. I remember using some features in the past, like pivot tables, which proved to be really difficult, but I know this is a fault also for other vendors. Pivoting, transposing, and unpivoting are often not so good. CTEs also many times prove to be not so good, so I think these two main items could be improved significantly if they standardize them.

Read full review

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Outsourcing Company

Comms Service Provider

Manufacturing Company

Financial Services Firm

16%

Manufacturing Company

University

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	6
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	7
Large Enterprise	20

Questions from the Community

What is your experience regarding pricing and costs for Dremio?

I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.

See all answers

What needs improvement with Dremio?

I think Dremio can be improved to query faster than multiple sources and big data lakehouses. The community version could be updated for new data catalog connections. I think the documentation is s...

See all answers

What is your primary use case for Dremio?

I have been using Dremio to select multiple data sources, retrieve multiple data sources, and create and maintain Iceberg tables for the data lakehouse. My main use case for Dremio is to actively c...

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

See all answers

What needs improvement with IBM SPSS Statistics?

One of the frustrations I have with IBM SPSS Statistics is the licensing, which is more of a company issue because we have limited licenses and have to ask someone to get off IBM SPSS Statistics so...

See all answers

What is your primary use case for IBM SPSS Statistics?

My main use case for IBM SPSS Statistics involves data cleaning and tabulation. I also use it sometimes for data validation. I use IBM SPSS Statistics to perform correlations, check data, remove re...

See all answers

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Compared 4% of the time

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Compared 3% of the time

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Compared 11% of the time

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Compared 7% of the time

Alteryx One vs IBM SPSS Statistics

Compared 5% of the time

Altair RapidMiner vs IBM SPSS Statistics

Compared 5% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

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Product Reports

Buyer's Guide

Dremio

October 2026

Download Dremio product report

Buyer's Guide

IBM SPSS Statistics

October 2026

Download IBM SPSS Statistics product report

Also Known As

Dremio AWS - BYOL

SPSS Statistics

Overview

Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.

Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.

What are Dremio's most valuable features?

Native Error Interfaces: Simplifies error detection and troubleshooting
Integration with Apache Airflow: Enhances workflow automation capabilities
Scalability: Effortlessly handles growing data demands
Role-Based Access Management: Provides secure data access control
Data Reflection: Optimizes query performance automatically
Query Federation: Supports queries across multiple endpoints seamlessly
Data Cataloging and Virtualization: Offers streamlined data organization

What benefits and ROI should users look for?

Reduced Data Storage Costs: Efficiently manages data to minimize storage expenses
Improved Query Performance: Enhances processing speed for large datasets
Flexibility in Integration: Easily connects with storage solutions like Oracle and MySQL
Enhanced Data Management: Supports comprehensive data analysis workflows

Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.

Dremio

IBM SPSS Statistics is renowned for its intuitive interface and robust statistical capabilities. It efficiently handles large datasets, making it essential for data analysis, quantitative research, and business decision-making.

IBM SPSS Statistics offers extensive functionality supporting both beginners and experts. It is used for data analysis across industries, accommodating advanced statistical modeling such as regression, clustering, ANOVA, and decision trees. Users benefit from its quick model building and ease of use, which are indispensable in data exploration and decision-making. Room for improvement includes charting, visualization, data preparation, AI integration, automation, multivariate analysis, and unstructured data handling. Enhancements in importing/exporting features, cost efficiency, interface improvements, and user-friendly documentation are sought after by users looking for alignment with modern data science practices.

What are IBM SPSS Statistics' most notable features?

Intuitive Interface: Simplifies navigation for both beginners and experts.
Predictive Analytics: Advanced modeling capabilities for future trends.
Robust Statistical Functions: Includes regression, clustering, ANOVA, and decision trees.
Large Dataset Handling: Efficiently manages complex and sizable data.
Customizable Tables: Users can create tailored reports and exports.

What benefits and ROI do users report in reviews?

Ease of Use: Streamlined processes for rapid analysis.
Advanced Functionality: Comprehensive tools for diverse research needs.
Quick Model Building: Speeds up predictive and statistical analysis.
Versatile Application: Suitable for academic, business, and social science research.

IBM SPSS Statistics is implemented broadly, including academic research for in-depth studies, business analytics for informed decision making, and in the social sciences for comprehensive data exploration. Organizations utilize its advanced features like AI integration and automated modeling across sectors to gain actionable insights, streamline data processes, and support research initiatives.

IBM

Sample Customers

UBS, TransUnion, Quantium, Daimler, OVH

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

Buyer's Guide

Dremio vs. IBM SPSS Statistics

September 2026

Free Report: Dremio vs. IBM SPSS Statistics

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