

IBM SPSS Statistics and Dremio compete in the data analysis tools market. IBM SPSS Statistics holds an advantage in advanced statistical modeling due to its extensive analytics options, whereas Dremio offers better cloud connectivity and data virtualization features.
Features: IBM SPSS Statistics offers advanced statistical modeling capabilities like regression and ANOVA, ideal for precise quantitative analysis. It provides a point-and-click interface for easier use. Dremio enables integration with extensive data storage systems and supports the management of virtual datasets, allowing efficient exploration and analysis of large datasets through its data lineage capabilities.
Room for Improvement: IBM SPSS Statistics can improve in areas such as data visualization and cost-effective solutions. Challenges with scripting and macro usage are also noted. Dremio could enhance its SQL query generation and compatibility with big data connectors. It faces issues with nested queries and lacks support for certain SQL commands, affecting the user experience.
Ease of Deployment and Customer Service: IBM SPSS Statistics is typically deployed on-premises, offering a reliable but often costly setup with varying support efficiency based on user familiarity. Dremio, with its cloud-based deployment, provides flexible options and easier management but has slower response times for complex problems.
Pricing and ROI: IBM SPSS Statistics is recognized for its high cost, often resulting in limited licensing, except for educational packages, but offers positive ROI due to its comprehensive analytics. Dremio is seen as more affordable, despite the high monthly costs based on data volume, and it provides significant ROI by reducing the need for additional expensive data services.
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.
We have had to reach out for customer support many times, and they respond, so they are pretty supportive about some long-term issues.
Dremio's scalability can handle growing data and user demands easily.
Internally, if it's on Docker or Kubernetes, scalability will be built into the system.
I rate Dremio a nine in terms of stability.
Starburst comes with around 50 connectors now.
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.
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.
I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
Having everything under one system and an easier-to-work-with interface, along with having API integrations, adds significant value to working with Dremio.
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.
You just get the source, connect the data, get visualization, get connected, and do whatever you want.
Predictive analytics is the most important part of analytics.
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
| Product | Market Share (%) |
|---|---|
| IBM SPSS Statistics | 4.0% |
| Dremio | 2.3% |
| Other | 93.7% |


| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 5 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 20 |
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?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.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:
IBM SPSS Statistics Features
Reviews from Real Users
IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.
An Emeritus Professor of Health Services Research at a university writes, "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 in a multidimensional setup space. It's the multidimensional space facility that is most useful."
A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”
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