Home > Business Intelligence Tools > SPSS Statistics > SPSS Statistics vs Oracle Business Intelligence

SPSS Statistics vs Oracle Business Intelligence

Last Updated:

Our analysts compared SPSS Statistics vs Oracle Business Intelligence based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Overview Pricing Benefits & Features User Ratings Analyst Summary Screenshots
SPSS Statistics Software Tool
Oracle Business Intelligence Software Tool
Get Free Demo Demo    Request Pricing Pricing
Get Free Demo Demo    Request Pricing Pricing

Product Basics

IBM SPSS, or Statistical Product and Service Solutions, is a data analysis platform that provides advanced statistical insights to propel business decision-making and research by crunching large datasets. With a user-friendly interface, it empowers everyone from basic users to experienced data scientists to perform statistical analysis. Scalable and agile, it is suitable for companies of all sizes.

Users can purchase it through an on-premises license or a subscription plan to a hybrid SaaS. Users who choose either monthly or annual subscription receive access to the base version and can choose which of three optional add-ons to include, if any, between Custom Tables and Advanced Statistics, Complex Sampling and Testing, and Forecasting and Decision Trees.

Perpetual and term licensees can choose between four editions that offer different levels of functionality: Base, standard, professional and premium. It was first launched as Statistical Package for the Social Sciences by three Stanford students in 1968 and later acquired by IBM in 2009.
read more...
Oracle Business Intelligence (BI) is a robust suite designed to empower users by providing comprehensive capabilities, including data integration, analytics, and reporting. This is a product that's most suited for medium to large enterprises which have complex data environments and require in-depth insights into their operations. Its important benefits are scalability, advanced analytics, data visualization, and a strong support infrastructure that Oracle is known for. An important feature set includes self-service analytics, ad-hoc analysis, mobile analytics, and robust dashboard capabilities. This sophistication lends itself to comparison with other enterprise-grade BI tools, where users often highlight Oracle BI's extensive integration facilities and powerful back-end capabilities as differentiators. However, given its depth and complexities, it can also present a steep learning curve for new users. Pricing considerations are important as Oracle BI is viewed as a premium offering. Typically, it's priced on a per-user basis, with payment frequencies ranging from monthly to annual licensing. Prospective buyers should note that the total cost of ownership may include additional expenses for implementation, customization, and training. In summary, Oracle Business Intelligence serves as a comprehensive data suite that leans towards the higher end of the market in both capability and price.

Pros
  • Powerful data warehousing
  • Scalable for large organizations
  • Wide range of features
  • Integrates with other Oracle products
  • Large user and developer community
 Cons
  • High cost of ownership
  • Complex setup and management
  • Steep learning curve
  • Limited non-Oracle platform support
  • Less user-friendly than some alternatives
read more...
$99 Monthly
Free Trial is available →
Get a free price quote
Tailored to your specific needs
$33/Processor, Monthly
Free Trial is available →
Get a free price quote
Tailored to your specific needs
Small 
i
Medium 
i
Large 
i
Small 
i
Medium 
i
Large 
i
Windows
Mac
Linux
Android
Chromebook
Windows
Mac
Linux
Android
Chromebook
Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

Product Insights

  • Increase Reliability of Analysis: Data analysts and scientists can reach more dependable conclusions and ensure high accuracy, backed by numbers and models made from their data.
  • Assists in Decision Making: Organize and analyze data sets in order to draw conclusions, glean insights and make data-driven business decisions.
  • Statistics with Speed: Maximize productivity by quickly crunching data sets. Handle complicated tasks in a third of the time of many non-statistical programs.
  • Data Management: Remove manual work, as the system does all the legwork in preparing and organizing data sets for analysis. It estimates and uncovers missing values, improving the accuracy of reports.
  • Ease of Use: According to the IBM website, 81% of reviewers rank SPSS as easy to use. A point-and-click interface and natural language processing allow analytics capabilities to be accessed by those without coding skills or advanced statistics knowledge.
  • Scalability: Built to scale and work with large volumes of data, supporting anything from basic descriptive analytics to advanced statistics simulations. Purchase as many licenses as needed, ensuring cost-efficiency for small businesses as well as robustness for large scale enterprises.
  • Customized Predictive Analytics: Tailor predictive analytics to unique needs and perform ad hoc analysis to find the information needed, making better predictions over time.
  • Free Trial: Access all capabilities with a free 14-day trial period.
  • Academic Versions: An academic version is optimized for higher education and research. Program availability varies based on user roles, including students, teachers, researchers and campus-wide administrators.
read more...
  • Interactive Visualizations: Users have access to a wide selection of interactive dashboards, charts, graphs and other data visualization tools. They can filter, drill down or pivot data directly from the dashboard while prompts and suggestions from the system guide them through the exploration process to uncover additional insights.
  • Oracle Exalytics: Using Oracle Exalytics, users can analyze massive datasets efficiently and without the need for a technical professional such as a data analyst.
  • Self-Service: Even non-technical users will be able to explore, organize and interpret data using this analysis system. The intuitive visualizations make the information easy to understand and share for employees at any level of data literacy.
  • Actionable Intelligence: By analyzing data and identifying trends, users are more prepared to make decisions about business practices, quotas, forecasting and much more.
  • Proactive Alerts: Users can set predefined alerts that send users real-time updates when the system is triggered or scheduled. These alerts are sent via a preferred channel, including email, internal file storage and text message based on the severity of the alert.
  • Mobile Access: Everything in the solution is presented with a consistent interface on the mobile device of the user’s choosing. This includes multitouch and gestural interactions with map graphics and other advanced features.
read more...
  • Data Source Connectivity:  Enables reading and writing data from a wide spectrum of file formats and sources. These include ASCII text files, spreadsheets and databases like Microsoft Excel and Microsoft Access, as well as those from other statistics packages. 
  • Data Preparation: Streamlines the data preparation process. Identify invalid values, view patterns of missing data and automate data preparation to analyze and clean up large data sets in a single step. Validate the accuracy of analysis with a thorough, efficient data conditioning workflow. 
  • Point-and-Click Interface: Allows users without coding knowledge to leverage point-and-click data analysis with drop-down menus and drag-and-drop functionality. 
  • Automated Analytics: Automate common tasks with syntax and create customized data analyses that run using algorithms. 
  • Comprehensive Statistical Analysis: Perform many kinds of statistics tests, including but not limited to linear and non-linear models, simulation modeling, bayesian statistics, custom tables, complex sampling, advanced and descriptive statistics, and regression.
  • Ad Hoc Analysis: “Slice and dice” data by creating customized tables to dig deeper and improve understanding.
  • Predictive Analytics:
    •  Uncovers complex relationships between variables with functions like time series analysis, forecasting, neural networks and temporal causal modeling. 
    •  Simulates values and accounts for the uncertainty of the future using probability distributions. 
    •  Improves predictive models with multilayer perception and radial basis function. 
  • Geospatial Analysis: Explore the relationship between data points that can be tied to specific locations.
  • Direct Marketing: Improve campaigns and target key customers. Conduct advanced statistics analysis of customers or contacts with RFM (recency, frequency, monetary) analysis.
  • Open-Source Integration: Enhance syntax with programming languages R and Python through a library of more than 100 free extensions on the IBM Extension Hub, or opt to build programs.
  • Export with Ease: Export data to a proprietary file format. Can be exported to a variety of widely accessible formats such as text, Microsoft Word, PDF, Excel, HTML, XML, XLS and more. Export to a variety of graphic image formats.
read more...
  • Dashboards: The rich dashboard feature lets users see and interact with personalized dashboards based on their predefined role. They can explore the data freely along a guided navigation path that leads them to new insights.
  • Report Types: The system can create a variety of report types including ad-hoc analysis, interactive reports, custom reports and a selection of pre-built reports.
  • Big Data: The in-memory processing power of this solution allows users to incorporate big data sets without needing to integrate another solution. It can draw from large databases such as Hadoop, HIVE, Google Analytics, etc.
  • Augmented Analytics: The inclusion of machine learning and AI in the analytics process enhances the user experience by streamlining every aspect of it. The system remembers previous searches, offers natural language search queries and provides intelligence suggestions for the ideal visualization for each individual dataset.
  • Enterprise Reporting: This feature refers to the creation of simple reports in the most efficient, organized manner possible. This analytics tool facilitates the creation of files from templates such as checks, flash reports, tables and more.
  • Spatial Visualizations: The visualization tools aren’t limited to two dimensions; the system also offers a map view in which the data is projected on a fully interactive map. This graphic can include color fill, adjustable size markers, customizable image markers, multiple forms of binning and continuous color-fill features.
read more...

Product Ranking

#86

among all
Business Intelligence Tools

#50

among all
Business Intelligence Tools

Find out who the leaders are

User Sentiment Summary

Great User Sentiment 1881 reviews
Great User Sentiment 508 reviews
87%
of users recommend this product

SPSS Statistics has a 'great' User Satisfaction Rating of 87% when considering 1881 user reviews from 6 recognized software review sites.

83%
of users recommend this product

Oracle Business Intelligence has a 'great' User Satisfaction Rating of 83% when considering 508 user reviews from 3 recognized software review sites.

4.3 (18)
n/a
4.2 (712)
3.3 (11)
4.51 (528)
n/a
4.5 (425)
4.1 (89)
4.6 (40)
4.2 (408)
4.2 (158)
n/a

Synopsis of User Ratings and Reviews

Research Analysis: It’s easy to analyze and interpret large and complex datasets to generate insights, according to 96% of reviewers who mention this feature.
Ease of Use: The platform is user-friendly and easy to navigate as observed by almost 95% of reviewers mentioning ease of use.
Interface: The interface has a clean layout and visually appealing design according to 75% of users referencing it.
Syntax: It’s easy to use (copy and paste) and proof syntax, and save for later, as noted by 95% of reviewers who talk about this feature.
Resources: Of users mentioning support, 93% agreed that access to various support manuals and courses, as well as an extensive user community, was helpful.
Show more
User-friendly interface: Oracle BI is lauded for its intuitive and easy-to-use interface, making it accessible to users with varying technical expertise. Drag-and-drop functionality and self-service reporting empower users to analyze data independently.
Robust data integration: Oracle BI seamlessly integrates with diverse data sources, including relational databases, cloud applications, and flat files. This eliminates data silos and provides a unified view of critical business information.
Powerful data visualization: Oracle BI offers a comprehensive library of interactive visualizations, including charts, graphs, maps, and dashboards. These visuals help users identify trends, patterns, and insights within their data.
Flexible deployment options: Oracle BI offers both on-premise and cloud deployment models, catering to various organizational needs and preferences. This flexibility ensures scalability and accessibility for users across different locations.
Extensive security features: Oracle BI prioritizes data security with role-based access control, data encryption, and auditing capabilities. This ensures authorized users can access relevant information while protecting sensitive data.
Show more
Learning Curve: It needs extensive learning to understand advanced tools and different aspects, as observed by almost 75% of reviewers mentioning training.
Cost: More than 90% of users referencing the price remarked that the product is a bit expensive.
Slow Operation: The system runs slow at times while using huge or complex data sets, and needs to restart, as observed by 92% of reviews on this topic.
Show more
High cost: Oracle BI can be expensive to purchase and implement, especially for small and medium-sized businesses. The initial investment and ongoing maintenance costs can be a significant barrier for some organizations.
Steep learning curve: While the interface is user-friendly, mastering the full potential of Oracle BI requires time and effort. This can be challenging for users who are not familiar with data analysis tools or who have limited technical experience.
Limited customization options: While Oracle BI offers a range of features, some users find the customization options to be restrictive. This can be limiting for organizations with specific needs or unique data analysis requirements.
Potential performance issues: Large datasets and complex queries can lead to performance slowdowns in Oracle BI. This can be frustrating for users who rely on real-time insights and data accessibility.
Vendor lock-in: As a proprietary platform, Oracle BI can lock users into Oracle's ecosystem. This can make it difficult to switch to other BI solutions in the future, limiting flexibility and potentially increasing costs.
Show more

SPSS Statistics is a point-and-click data analysis software that allows non-technical users to leverage advanced statistical analysis. Users praised its user-friendly, visually appealing interface. Many reviews also appreciated how easy it is to use and proof syntax, along with the extensive help documentation available for better understanding. Despite its ease of use, a majority found that using advanced tools involved a steep learning curve. Additionally, its cost runs on the high side and processing large amounts of information slows down its performance, as observed by most reviewers. It’s a good fit for students, data scientists and companies that want to analyze data sets but don’t have the technical resources and expertise to use a more advanced tool.

Show more

Oracle Business Intelligence (OBI) garners mixed reviews from users. Many praise its robust functionality and ability to handle large datasets, with one user noting, "OBI can handle almost anything I throw at it." Another highlights its insightful dashboards and reporting capabilities, stating, "OBI provides the perfect blend of data visualization and analysis tools." However, some users criticize OBI's steep learning curve and complex interface. One user lamented, "It took me months to feel comfortable using OBI effectively." Others point to its integration limitations, especially with non-Oracle products, with one user stating, "OBI shines within the Oracle ecosystem but struggles with others." When compared to competitors like Microsoft Power BI and Tableau, users often cite OBI's scalability and data-handling prowess as its main differentiators. One user highlighted, "OBI is the go-to solution for large-scale enterprise data analysis, leaving Power BI and Tableau behind when dealing with massive datasets." Additionally, users appreciate OBI's tight integration with other Oracle products, creating a seamless workflow within the Oracle ecosystem. However, users also acknowledge OBI's shortcomings in terms of user-friendliness and flexibility. One user stated, "Power BI and Tableau offer a more intuitive and user-friendly experience, making them more accessible to a broader range of users." Additionally, some users find OBI's reliance on Oracle technologies limiting, preferring the broader platform compatibility offered by competitors. Ultimately, the choice between OBI and its competitors depends on specific needs. For organizations requiring in-depth analysis and scalability, OBI remains a powerful contender. However, those prioritizing user-friendliness and integration flexibility may find alternatives like Power BI and Tableau more attractive.

Show more

Screenshots

Top Alternatives in Business Intelligence Tools

Cognos Analytics
Domo
GoodData
Grow
Logi Symphony
Looker Studio
MicroStrategy
Oracle Analytics Cloud
Power BI
Qlik Sense
QuickSight
SAP Analytics Cloud
SAS Visual Analytics
Sisense
Spotfire
Tableau

Related Categories

Business Analytics Tools
Cloud BI Solutions
Data Cleaning Tools
Data Discovery Tools
Ecommerce Analytics Software Tools
Flowchart Software
HR Analytics Software
OLAP Tools
Predictive Analytics Software
Qualitative Data Analysis Software
Self-Service BI Tools
Show more
Business Analytics Tools
Cloud BI Solutions
Data Cleaning Tools
Data Discovery Tools
Data Governance Tools
Ecommerce Analytics Software Tools
Flowchart Software
HR Analytics Software
OLAP Tools
Predictive Analytics Software
Qualitative Data Analysis Software
Self-Service BI Tools
Show more

WE DISTILL IT INTO REAL REQUIREMENTS, COMPARISON REPORTS, PRICE GUIDES and more...

SelectHub Products Reporting and Analytics
Build Your Requirements
SelectHub Products Cost and Pricing Guide
Get Your Free Comparison Report
Compare products
Comparison Report
Just drag this link to the bookmark bar.
?
    Table settings