---
title: SAS vs SAP vs Power BI
---
# SAS vs SAP vs Power BI
Last Reviewed: May 12, 2026 15 min read [8 comments](https://www.selecthub.com/business-intelligence/sas-and-sap-and-power-bi/#comments)
[  ](https://www.selecthub.com/author/ritinder-kaur/) [Written by Ritinder Kaur](https://www.selecthub.com/author/ritinder-kaur/)
Sr. Technical Content Writer
[  ](https://www.selecthub.com/author/hunter-lowe/) [Edited by Hunter Lowe](https://www.selecthub.com/author/hunter-lowe/)
Content Editor
[  ](https://www.selecthub.com/author/sagardeep-roy/) [Technical Research by Sagardeep Roy](https://www.selecthub.com/author/sagardeep-roy/)
Senior Analyst
Table of Contents
* [SAS Visual Analytics Overview](#SAS%5FVisual%5FAnalytics%5FOverview)
* [SAP Analytics Cloud Overview](#SAP%5FAnalytics%5FCloud%5FOverview)
* [Power BI Overview](#Power%5FBI%5FOverview)
* [Features Comparison](#Features%5FComparison)
* [Source Connectivity](#Source%5FConnectivity)
* [Data Management](#Data%5FManagement)
* [Data Querying](#Data%5FQuerying)
* [Data Visualization](#Data%5FVisualization)
* [Reporting](#Reporting)
* [Advanced Analytics](#Advanced%5FAnalytics)
* [Augmented Analytics](#Augmented%5FAnalytics)
* [Embedded Analytics](#Embedded%5FAnalytics)
* [Geospatial Analytics](#Geospatial%5FAnalytics)
* [IoT Analytics](#IoT%5FAnalytics)
* [Mobile BI](#Mobile%5FBI)
* [Data Security](#Data%5FSecurity)
* [Technical Support](#Technical%5FSupport)
* [Next Steps](#Next%5FSteps)
* [Top Competitors](#Top%5FCompetitors)
When it comes to cutting-edge [business intelligence](https://www.selecthub.com/c/business-intelligence-tools/) and analytics tools, the SAS, SAP BI vs. Power BI comparison covers it. The three products are analytics market leaders with the latest capabilities that set them miles ahead of their competitors. However, Power BI leads the pack.
Let’s see how.
[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)
![SAS vs SAP vs Power BI Comparative Guide]()
## [SAS Visual Analytics Overview](https://www.selecthub.com/p/business-intelligence-tools/sas-visual-analytics/)
SAS Analytics enables visual data exploration through reports, charts and other graphical aids. Interactive dashboards and self-service capabilities make complex data understandable. It helps you spot hidden patterns and uncover new opportunities through trend analysis.
![Visual Representation of duration of travel in SAS Visual Analytics]()
Visual representation of the duration of travel to a city business district by route.
Machine learning recommendations make data exploration straightforward. Seamless integration with MS Office tools like Excel and Outlook helps create data stories in report or dashboard format. It’s available on mobile with easy gestures and controls.
## [SAP Analytics Cloud Overview](https://www.selecthub.com/p/business-analytics-tools/sap-analytics-cloud/)
SAP Analytics Cloud helps you uncover trends, assist in planning and identify opportunities associated with big data. Machine learning and NLP are available out of the box and enable predictive analytics.
![Estimated Revenue Projection Dashboard in SAP]()
Forecast sales opportunities by customer segment and product.
Data sources include [Apache Hadoop](https://www.selecthub.com/p/big-data-analytics-tools/hadoop/), Apache Hive, Hbase, Cassandra, SAP’s Business Warehouse and [SAP HANA](https://www.selecthub.com/p/big-data-analytics-tools/sap-hana/). Animated visualizations enable period-over-period growth insight. Reporting with built-in versioning is made possible with [SAS Viya](https://www.selecthub.com/p/big-data-analytics-tools/sas-viya/).
## [Power BI Overview](https://www.selecthub.com/p/business-intelligence-tools/power-bi/)
It is a BI and analytics software with multidimensional data querying and robust integration capabilities. It connects to several [ERP platforms](https://www.selecthub.com/c/erp-software/), live warehouses and business systems, besides SEO and web analytics applications and social media platforms. A [WYSIWYG](https://www.merriam-webster.com/dictionary/WYSIWYG) builder allows you to customize pre-designed templates or create visualizations and reports from scratch.
![Paginated Report Preview Power BI]()
Create custom formatted, print-ready reports.
[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)
## Features Comparison
All three products are available as SaaS solutions, with BI, planning and predictive analytics on a single interface, and you can deploy them on Windows, Linux and Mac.
After in-depth research and evaluation, SelectHub analysts scored the products on more than ten features. Here’s the list.
![SAS vs SAP vs Power BI Features Comparison]()
### Source Connectivity
Data source connectivity is ubiquitous — all connect to RDBMS, NoSQL databases and warehouses, including cloud sources, through ODBC, JDBC and parameterized connections.
**SAS** relies on partners for connecting to [accounting](https://www.selecthub.com/c/accounting-software/), [help desk](https://www.selecthub.com/c/help-desk-software/), ERPs, [CRMs](https://www.selecthub.com/c/crm-software/), [marketing](https://www.selecthub.com/c/marketing-automation-software/), payment processing and [project management platforms](https://www.selecthub.com/c/project-management-software/). SEO and web analytics connectivity and IM integration are also partner-dependent.
Social media connectivity is built-in, with the platform drawing data from Twitter, Facebook and YouTube. SAS connects to FTP/SFTP sources out of the box.
**SAP** supports accounting, help desk, ERPs, CRMs, marketing and payment processing platform integration with partner support. Other such collaborations include project management platforms, SEO and web analytics systems, and FTP/SFTP sources.
IM integration isn’t available.
**Power BI** connects to accounting, help desk, ERPs, CRMs, marketing, payment processing and project management platforms out of the box. SEO, web analytics and social media connectivity are built-in. Power BI can’t work directly with FTP sources – you’ll need to bring the files down to a local folder and connect to it. It connects seamlessly to IM apps like Slack.
All three products need partner integration to connect to [eCommerce applications](https://www.selecthub.com/c/ecommerce-platforms/).
**Analyst Rating:**
* SAS Visual Analytics: **75**
* SAP Analytics Cloud: **67**
* Power BI: **87**
**Winner:** Power BI takes the lead in source connectivity.
### Data Management
In the SAS vs. SAP BI vs. Power BI comparison, all three products source and blend multidimensional data for exploration and analysis.
**SAS** lets you create, test and compare models with its LASR analytic server. You can uncover possible correlations by organizing information in a hierarchical format and drilling into its layers. SAS describes the software’s drill-down capabilities as “self-service,” free of preset exploration paths.
**SAP** enables automated data discovery with machine learning insights. You can build and customize models with imported and live data in SAP Analytics Cloud. Incorporating external metrics into a chart or table through dynamic linking is possible.
**Power BI** allows building multidimensional models through the [SQL Server Analysis Services](https://www.selecthub.com/p/business-intelligence-tools/sql-server/). Dynamic linking is available, and interactivity lets you filter and highlight data using [fit lines](https://www.investopedia.com/terms/l/line-of-best-fit.asp) and dataset correlations.
**Analyst Rating:**
* SAS Visual Analytics: **100**
* SAP Analytics Cloud: **100**
* Power BI: **100**
**Winner:** It’s a tie in this comparison between SAS vs. SAP vs. Power BI.
[Get our BI Tools Requirements Template](https://pmo.selecthub.com/bi-requirements-template-site-vers/)
### Data Querying
All three products enable in-memory analysis by querying aggregated data from relational databases, XML and CSV files, and OLAP and web services. You can import data to create calculated columns with easy drag-and-drop actions and even run scheduled queries.
![Power BI Query Editor]()
A View of the Center Pane in Power BI Data Query Editor with Menu Options.
**SAS’s** scheduling feature lets you create, manage and schedule jobs for SAS Data Integration Studio, SAS Web Report Studio and SAS Marketing Automation modules. Subqueries, filters, set operators and calculated conditions are available. SAS scores for exploration and reporting with its Visual Data Builder, though it doesn’t provide live data connectivity.
**SAP** Analytics Cloud leans on SAP HANA for in-memory data processing. It ranks ahead of the other two platforms with its built-in update functionality. The platform supports queries, but not when you need to combine set operators and subqueries.
The APOS Live Data Gateway enables live updates. As for SAP BI vs. Power BI, SAP relies on manual SQL commands for ad hoc exploration and analysis.
**Power BI** doesn’t have a separate workflow for batch updates, relying on the bulk operations functionality to do the job. Subqueries, filters, set operators and calculated conditions are available. Power BI’s Query Editor connects live to shared datasets in the Power BI Service for reporting. The software has a proprietary language, DAX, for model querying.
**Analyst Rating:**
* SAS Visual Analytics: **84**
* SAP Analytics Cloud: **96**
* Power BI: **98**
**Winner:** Power BI is the surefire winner for this category, with live connectivity tipping the scales in its favor.
### Data Visualization
SAP, SAS and Power BI provide interactive visualizations with deep-dive analysis.
**SAS** gives you animated graph views as an automatic slideshow in a web browser or web viewer that supports animations. The platform provides an auto-refresh setup per user, not as a global setting.
**SAP** enables animations in visualizations out of the box. Dashboard templates and auto-refresh capabilities are available natively.
**Power BI** supports animations only through end-user customization. The vendor provides pre-built templates and the option to configure automatic data updates.
**Analyst Rating:**
* SAS Visual Analytics: **75**
* SAP Analytics Cloud: **94**
* Power BI: **86**
**Winner:** SAP Analytics Cloud wins for this category, with Power BI a close second.
### Reporting
Canned and [ad hoc reporting](https://www.selecthub.com/business-intelligence/importance-ad-hoc-reporting/) is a primary enterprise requirement. All these products provide conditional formatting, scheduled delivery, interactivity and built-in alerts in reports.
**SAS** Cloud Analytics supports natural language data exploration and reporting using SAS Viya. Versioning is enabled.
**SAP** Analytics is the only one with built-in Smart Assist and Search to Insight features. The vendor provides version control for audit and future reference.
**Power BI** lacks report versioning. Text-based natural language reporting is available through partner integration.
![Power BI Visual Analytics]()
Get a closer look at the metrics by splitting a visual into multiple versions of itself with Power BI.
**Analyst Rating:**
* SAS Visual Analytics: **75**
* SAP Analytics Cloud: **94**
* Power BI: **86**
**Winner:** SAP leads for reporting due to version control and NLP capabilities.
[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)
### Advanced Analytics
All three products let you perform complex calculations, providing statistical functions like mean, skewness, [kurtosis](https://www.brownmath.com/stat/shape.htm), standard deviation and variance. You can forecast trends with segmentation, time-series analysis and what-if analysis.
![SAS Visual Analytics Scatter Plot]()
A scatter plot in SAS Visual Analytics.
**SAS** Visual Analytics relies on additional modules to provide regression methods like [logistic](https://careerfoundry.com/en/blog/data-analytics/what-is-logistic-regression/), [multivariate](https://www.mygreatlearning.com/blog/introduction-to-multivariate-regression/), partial least square, generalized additive and quantile regression. SAS provides [cluster analysis](https://www.publichealth.columbia.edu/research/population-health-methods/k-means-cluster-analysis) with additional modules. [PMML](https://sourceforge.net/projects/pmml/) support is available.
**SAP** Analytics Cloud comes equipped with linear regression functions and PMML support. Cluster analysis is possible with workarounds.
**Power BI** makes [linear regression](https://www.unite.ai/what-is-linear-regression/) and cluster analysis available out of the box. It doesn’t support PMML.
**Analyst Rating:**
* SAS Visual Analytics: **84**
* SAP Analytics Cloud: **94**
* Power BI: **89**
**Winner:** SAP Analytics Cloud wins for advanced analytics with PMML and cluster analysis.
### Augmented Analytics
[Augmented analytics is the future](https://www.selecthub.com/business-analytics/business-analytics-trends/) and many BI solutions streamline data exploration and analysis with NLP and machine learning recommendations.
All three products surface key metrics drivers and outliers through variances and basic correlations.
**SAS** provides automatic recommendations for data profiling and [parsing](https://www.ipburger.com/blog/data-parsing-2/). The software suite relies on additional modules for text searches. Faster deployment through automated packaging of code, PMML and apps is possible.
![SaS Decision Tree]()
A decision tree indicating purchase behavior by segment.
**SAP** enables intelligent data preparation with smart recommendations for gender analysis, code matching, parsing, standardization and white space trimming. Text-based searches are available out of the box. The software doesn’t support automated packaging.
**Power BI’s** Query Editor provides column profiling for imported data. The platform enables insight through natural language searches, allowing automatic algorithm selection for on-the-fly model analysis. Its Analyze feature displays explanations and contextual insights on demand.
Power BI’s clustering, [segmentation](https://justtotaltech.com/what-is-data-segmentation/) and [decision trees](https://corporatefinanceinstitute.com/resources/knowledge/other/decision-tree/) enhance descriptive insights and forecasting.
Power BI doesn’t provide automated packaging.
All three products lack automated anomaly alerting.
**Analyst Rating:**
* SAS Visual Analytics: **56**
* SAP Analytics Cloud: **63**
* Power BI: **80**
**Winner:** Power BI leads the pack with on-demand insight and automated machine learning modules.
### [Embedded Analytics](https://www.selecthub.com/category/business-intelligence/embedded-bi/)
Embedded insight is trending in personal and professional spheres, with the latest TIBCO Spotfire version enabling transactions within visualizations. Such innovations speed up insight to action, boosting the embedded analytics market growth. Market Data Forecast predicts it [will reach $61.98 billion by 2025](https://www.marketdataforecast.com/market-reports/embedded-analytics-market).
![Embedded Analytics Market Trend]()
**SAS** doesn’t have a dedicated embedded module. Instead, it embeds reports into web or mobile applications using the Visual Analytics SDK. It doesn’t support multi-tenancy for embedded instances.
**SAP** Analytics Cloud’s embedded instance is exclusive to SAP S/4HANA tenants, helping insert dashboards and visualizations into other SAP or third-party applications. The solution doesn’t support embedded multi-tenancy.
**Power BI** is the most flexible – you can embed specific visualizations built in the platform into your applications, or you can white label your Power BI instance. The solution scores again by providing multi-tenancy with exclusive customer workspaces. Power BI provides background data processing, which SAS and SAP don’t.
**Analyst Rating:**
* SAS Visual Analytics: **0**
* SAP Analytics Cloud: **0**
* Power BI: **100**
**Winner:** Power BI is the clear winner for this category due to white labeling and embedded multi-tenancy.
[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)
### Geospatial Analytics
In the SAP BI vs. Power BI vs. SAS comparison, all three products natively provide maps and geospatial visualizations.
**SAS** works with Mapbox, Google Maps and Bing Maps.
**SAP** connects only to the HERE and Galigeo location platforms. SAP lags in geocoding and geospatial functions, relying on additional modules to provide these attributes.
**Power BI** integrates with Mapbox, Google Maps and Bing Maps. It ranks ahead of the other two with spatial file support and WMS server integration.
**Analyst Rating:**
* SAS Visual Analytics: **77**
* SAP Analytics Cloud: **69**
* Power BI: 91
**Winner:** Power BI wins this category, hands down.
### [IoT Analytics](https://www.selecthub.com/business-intelligence/analytics-behind-iot/)
The Internet of Things encompasses smartphones, Bluetooth, WiFi and sensor data.
In the SAP, SAS vs. Power BI comparison, all three products rely on additional modules to provide streaming and edge analytics from various sources.
**SAS** is the only product among the three that offers a standardized, extensible, sensor-based model out of the box. Its analytics-for-IoT module organizes and stores complex streaming datasets into hierarchies and dependencies for quicker analysis.
**SAP** ingests IoT data by working with additional modules — Streaming Analytics and Edge Services.
**Power BI** analyzes fast-moving data streams by relying on Azure Stream Analytics and Azure IoT Hub.
**Analyst Rating:**
* SAS Visual Analytics: **73**
* SAP Analytics Cloud: **60**
* Power BI: 60
**Winner:** SAS Visual Analytics is the winner here.
### Mobile BI
Software offering mobile apps and offline mode has a competitive edge when it comes to on-the-go business insight. All three products have mobile apps for Windows, iOS and Android devices.
![Mobile-optimized Report in Power BI Desktop]()
Creating a mobile-optimized report in Power BI Desktop.
**SAS** allows read-only access to reports in low-internet areas, provided you had accessed the reports earlier.
**SAP** lags in providing offline mode, available only on iOS devices when set to airplane mode.
**Power BI** lets you subscribe to personalized alerts by setting up [push notifications](https://web.dev/notifications/) on your device. Read-only access to reports, if accessed previously, is available in offline mode.
**Analyst Rating:**
* SAS Visual Analytics: **100**
* SAP Analytics Cloud: **97**
* Power BI: 100
**Winner:** SAS Visual Analytics and Power BI tie for the winner’s spot for mobile insights.
[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)
### Data Security
Employee negligence is the primary cause of data loss, and [27% of data breaches are malicious insider acts](https://www.tessian.com/resources/ponemon-report-data-loss-prevention-on-email-2022/). Authentication and authorization protocols are enterprises’ first line of defense, with activity logs and audit trails a close second.
When comparing Power BI vs. SAS vs. SAP for data security, all three products offer user activity monitoring, row-level security and data encryption out of the box.
**SAS** Visual Analytics maintains a record of user and administrator actions and generates regular usage reports. [Column-level security](https://satoricyber.com/sql-server-security/sql-server-column-level-security/) isn’t supported.
The SAS Viya deployment process provides encryption for [data in motion](https://www.okta.com/uk/identity-101/data-in-motion/) by default. SAS Viya secures network connections in compliance with SAS security standards.
**SAP** has a dedicated tracking module for user activities, object usage, roles and team details. Column-level restrictions aren’t available. The system encrypts data for secure access by authorized users. Administrators can define file and folder access permissions, including the right to create, read, update, delete, execute, maintain, manage and share them.
![Folder Restrictions in SAP]()
As an Admin, you can retain the folder hierarchy by restricting users from creating new sub-folders.
**Power BI** delivers robust activity tracking with built-in logs. Additionally, you can view usage stats from [SharePoint Online](https://www.selecthub.com/p/project-management-software/sharepoint/), Exchange Online, [Dynamics 365](https://www.selecthub.com/p/erp-software/dynamics-365-erp/) and other services with the unified Office 365 audit log. It encrypts data at rest and in motion with Microsoft-managed keys, though Premium users can set their own keys.
The software provides column-level restricted access only in tabular visualizations via filtering.
**Analyst Rating:**
* SAS Visual Analytics: **80**
* SAP Analytics Cloud: **100**
* Power BI: 97
**Winner:** SAP Analytics Cloud wins for data security.
### Technical Support
All products provide help desk support via instant messaging, live chat, phone and email. SLAs and active community support are available.
**SAS** provides training, support, consulting and partner services. The SAS partner network includes Accenture, Cisco, Hewlett-Packard, IBM and Intel, among other international corporations.
**SAP** has an active partner network and online training courses. The vendor provides standard technical support and troubleshooting through the SAP Support Portal. For product information, you can turn to the Help Portal. SAP Digital Business Services is an organization providing product support to large SAP customers.
**Power BI** has a network of partner businesses to provide knowledge and consulting services to their users. Companies such as Dell, Launch Consulting, Peters & Associates, DB Best Technologies LLC and over 300 other firms partner with Microsoft.
In addition to the partner program, Power BI’s support network consists of traditional resources, community forums and educational tools. Guided lessons, sample Power BI files and informational blogs support the learning process.
**Analyst Rating:**
* SAS Visual Analytics: **100**
* SAP Analytics Cloud: **100**
* Power BI: 100
**Winner:** All three products win top honors for this category.
[Compare BI Pricing & Costs with our Pricing Guide](https://pmo.selecthub.com/bi-price-report-pdf-onsite/)
## Next Steps
We compared these three market leaders for thirteen features.
Power BI ranks above the others for five – source connectivity, augmented analytics, querying, embedded analytics and geospatial analytics.
SAP Analytics leads in four categories – data visualization, reporting, advanced analytics and security.
SAS Visual Analytics leads in IoT analytics.
The three products tie for data management and user support, while Power BI and SAS tie for mobile business intelligence.
This comparison intends to highlight the primary and advanced features of BI and analytics solutions so you can make an informed choice. Log in to our [Kickstarter App](https://express.selecthub.com/) to compare these products in-depth with detailed scores for each sub-feature. Evaluate how much it’ll cost you with our [pricing guide](https://pmo.selecthub.com/bi-price-report-pdf-onsite/).
Or reach out to our [Managed Selection Services](https://www.selecthub.com/managed-selection-services/) to connect directly to sellers.
Have you used one of these products? Which features benefit you the most? Let us know in the comments!
## Top Competitors
[**Tableau Server**](https://www.selecthub.com/p/business-intelligence-tools/tableau-server/)
Starting at $35 per user per month
[**Dundas BI**](https://www.selecthub.com/p/business-intelligence-tools/dundas-bi/)
Starting at $6 per user per month
[**Oracle Analytics Cloud**](https://www.selecthub.com/p/business-intelligence-tools/oracle-analytics-cloud/)
Starting at $350 per named user
[**SAP Business Objects**](https://www.selecthub.com/p/business-intelligence-tools/businessobjects/)
Starting at $21 per user per month
[**Domo**](https://www.selecthub.com/p/business-intelligence-tools/domo/)
Starting at $2,100 per user per year
[**MicroStrategy**](https://www.selecthub.com/p/business-intelligence-tools/microstrategy/)
Starting at $5000 per named user per year
[**Sisense**](https://www.selecthub.com/p/business-intelligence-tools/sisense/)
Starting at $21,000 per year for 5 users
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Originally published in July 2024 and last updated in May 2026\. Contributions from Ritinder Kaur, Sagardeep Roy, Akshay Parekh, and Hunter Lowe.
## About the Contributors
The following team members helped research, create, and review this content.
[ ](https://www.selecthub.com/author/ritinder-kaur/)
Written by
[Ritinder Kaur](https://www.selecthub.com/author/ritinder-kaur/)
Sr. Technical Content Writer
Ritinder Kaur is a Senior Technical Content Writer at SelectHub and has ten years of experience writing about B2B software and quality assurance. She has a Masters degree in English language and literature and writes about Business Intelligence and Data Science. Her articles on software testing have been published on Stickyminds.
[See Full Bio](https://www.selecthub.com/author/ritinder-kaur/)
[ ](https://www.selecthub.com/author/sagardeep-roy/)
Technical Research by
[Sagardeep Roy](https://www.selecthub.com/author/sagardeep-roy/)
Senior Analyst
Sagardeep is a Senior Research Analyst at SelectHub, specializing in diverse technical categories. His expertise spans Business Intelligence, Analytics, Big Data, ETL, Cybersecurity, artificial intelligence and machine learning, with additional proficiency in EHR and Medical Billing. Holding a Master of Technology in Data Science from Amity University, Noida, and a Bachelor of Technology in Computer Science from West Bengal University of Technology, his experience across technology, healthcare, and market research extends back to 2016\. As a certified Data Science and Business Analytics professional, he approaches complex projects with a results-oriented mindset, prioritizing individual excellence and collaborative success.
[See Full Bio](https://www.selecthub.com/author/sagardeep-roy/)
[ ](https://www.selecthub.com/author/akshay-parekh/)
Technical Research by
[Akshay Parekh](https://www.selecthub.com/author/akshay-parekh/)
Principal Analyst
Akshay is a highly analytical and detail-oriented Software Research Analyst with a proven track record of generating industry-standard templates for RTs, RFIs, pricing guides, LTSRs, and more across software categories like Big Data Analytics, BI, ETL, EDI, EHR, Endpoint Security and Medical Billing. He holds a Bachelor of Technology in Computer Science Engineering and an MBA in Marketing and Analytics from IBS Hyderabad. He loves to spend time exploring spirituality, reading books, and watching sports, especially cricket, tennis, MMA, and boxing.
[See Full Bio](https://www.selecthub.com/author/akshay-parekh/)
[ ](https://www.selecthub.com/author/hunter-lowe/)
Edited by
[Hunter Lowe](https://www.selecthub.com/author/hunter-lowe/)
Content Editor
Hunter Lowe is a Content Editor, Writer and Market Analyst at SelectHub. His team covers categories that range from ERP and business intelligence to transportation and supply chain management. Hunter is an avid reader and Dungeons and Dragons addict who studied English and Creative Writing through college. In his free time, you'll likely find him devising new dungeons for his players to explore, checking out the latest video games, writing his next horror story or running around with his daughter.
[See Full Bio](https://www.selecthub.com/author/hunter-lowe/)
Bergen AdairThe Best Business Intelligence Systems and the Different Types
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#### **VS** \- June 26, 2022
What about Qliksense or Tableau.. these are also good analytical tools
**[Reply](#comment-138258)**
[](https://www.selecthub.com/author/ritinder-kaur/)
#### **Ritinder Kaur** \- June 27, 2022
We agree. And thank you for reading. For the Qlik Sense vs Tableau comparison, do read our article
**[Reply](#comment-138323)**
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#### **B** \- August 9, 2021
The analysis is interesting for your particular use case, but it would be good to see the systems compared for other use cases. For example, SAS has capability to manage massive datasets, and it can also be controlled for regulated environments. Ultimately it would be good to have workplaces that support multiple tools, as different use cases lead to different approaches. Too often we are hamstrung by a “one size fits all” mentality. Modern data systems should enable different analytics and visualisation tools to be applied.
**[Reply](#comment-84117)**
* 
#### **Erika Schuh** \- December 2, 2020
a very big disadvantage of SAP and Power Bi is, that the transfer to 3\. companies that do not have Power BI or SAP installed is rather cumbersome. PBI can only export pdf or csv, even though it is a Microsoft product! The management doesn’t want to have dashborads where you have to look up numbers with a magnifying glass, or even to learn how to use these tools. SAS has an Excel Add in, weher all user could make there own reports by using the add in Excel
**[Reply](#comment-55273)**
* 
#### **Sara Due** \- January 11, 2020
This is only meant to be a starting point for analysis of the BI platform market and does not cover all the vendors and possibilities are out there. Forrester recommends those in the market for BI dig deep before investing.
**[Reply](#comment-28458)**
#### **Hsing Tseng** \- January 13, 2020
You’re correct that this is just a starting point for those interested in BI platforms. We have many more articles and posts that dive deeper into the market on our website and we encourage everyone to do adequate research into which software works best for their needs. A great place to start that research is browsing our BI product directory for a more in-depth analysis of specific products here:
Thank you for reading, Sara!
**[Reply](#comment-28577)**
* 
#### **Anonymous** \- October 28, 2018
Very obvious that you are promoting Power BI. Why don’t you discuss the weaknesses of each product as well..?
**[Reply](#comment-13569)**
[](https://www.selecthub.com/author/alainia/)
#### **Alainia Conrad** \- October 29, 2018
We are an unbiased company, so we don’t promote any particular vendor over another. Our experts’ analysis simply showed that Power BI was the better system.
**[Reply](#comment-13575)**
Compare
**Tier 1:**
Fully/moderately supported out-of-the-box allowing for quick and easy deployment.
Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development.
**Tier 2:**
Supported with workarounds or add-ons that may require additional costs.
Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor with or without any additional cost.
**Tier 3:**
Requires partner integrations or custom development that is often at an additional cost.
Requires additional integrations, plugins, marketplace applications from a third-party vendor, or custom development using the APIs, libraries, extensions, and development framework supported by the software, with or without any additional cost.
[Close](#)
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