Microsoft Power BI vs. Oracle Autonomous Data Warehouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Microsoft Power BI
Score 8.5 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$10
per month per user
Oracle Autonomous Data Warehouse
Score 9.0 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
Pricing
Microsoft Power BIOracle Autonomous Data Warehouse
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BIOracle Autonomous Data Warehouse
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Microsoft Power BIOracle Autonomous Data Warehouse
Features
Microsoft Power BIOracle Autonomous Data Warehouse
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI
8.3
195 Ratings
2% above category average
Oracle Autonomous Data Warehouse
-
Ratings
Pixel Perfect reports8.3166 Ratings00 Ratings
Customizable dashboards8.8194 Ratings00 Ratings
Report Formatting Templates8.0177 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI
8.0
193 Ratings
0% below category average
Oracle Autonomous Data Warehouse
-
Ratings
Drill-down analysis8.3190 Ratings00 Ratings
Formatting capabilities7.8190 Ratings00 Ratings
Integration with R or other statistical packages7.4142 Ratings00 Ratings
Report sharing and collaboration8.4188 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI
8.0
186 Ratings
3% below category average
Oracle Autonomous Data Warehouse
-
Ratings
Publish to Web8.3176 Ratings00 Ratings
Publish to PDF8.0171 Ratings00 Ratings
Report Versioning7.7143 Ratings00 Ratings
Report Delivery Scheduling8.2146 Ratings00 Ratings
Delivery to Remote Servers7.9109 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Microsoft Power BI
7.8
186 Ratings
2% below category average
Oracle Autonomous Data Warehouse
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)8.2180 Ratings00 Ratings
Location Analytics / Geographic Visualization8.1165 Ratings00 Ratings
Predictive Analytics7.4135 Ratings00 Ratings
Pattern Recognition and Data Mining7.436 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Microsoft Power BI
8.5
177 Ratings
0% below category average
Oracle Autonomous Data Warehouse
-
Ratings
Multi-User Support (named login)8.8167 Ratings00 Ratings
Role-Based Security Model8.4145 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)8.4157 Ratings00 Ratings
Report-Level Access Control8.346 Ratings00 Ratings
Single Sign-On (SSO)8.7139 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Microsoft Power BI
8.0
159 Ratings
3% above category average
Oracle Autonomous Data Warehouse
-
Ratings
Responsive Design for Web Access7.7149 Ratings00 Ratings
Mobile Application7.6130 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile7.9152 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Microsoft Power BI
7.8
115 Ratings
1% above category average
Oracle Autonomous Data Warehouse
-
Ratings
REST API8.1103 Ratings00 Ratings
Javascript API7.684 Ratings00 Ratings
iFrames8.055 Ratings00 Ratings
Java API7.068 Ratings00 Ratings
Themeable User Interface (UI)7.690 Ratings00 Ratings
Customizable Platform (Open Source)8.444 Ratings00 Ratings
Best Alternatives
Microsoft Power BIOracle Autonomous Data Warehouse
Small Businesses
BrightGauge
BrightGauge
Score 8.9 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
Oracle Exadata
Oracle Exadata
Score 9.9 out of 10
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User Ratings
Microsoft Power BIOracle Autonomous Data Warehouse
Likelihood to Recommend
8.5
(197 ratings)
8.9
(32 ratings)
Likelihood to Renew
9.5
(3 ratings)
8.0
(1 ratings)
Usability
8.3
(113 ratings)
-
(0 ratings)
Support Rating
10.0
(52 ratings)
-
(0 ratings)
Implementation Rating
9.0
(1 ratings)
9.0
(1 ratings)
User Testimonials
Microsoft Power BIOracle Autonomous Data Warehouse
Likelihood to Recommend
Microsoft
Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
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Oracle
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
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Pros
Microsoft
  • Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
  • Constant updates (this is both good and bad at times).
  • User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
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Oracle
  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
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Cons
Microsoft
  • It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
  • Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
  • Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
  • Would like to export each page or chart as an image.
Read full review
Oracle
  • It is very expensive product. But not to mention, there's good reasons why it is expensive.
  • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
  • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
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Likelihood to Renew
Microsoft
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
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Oracle
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
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Usability
Microsoft
Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
Read full review
Oracle
No answers on this topic
Support Rating
Microsoft
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
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Oracle
No answers on this topic
Implementation Rating
Microsoft
It was integrated with our erp easily and was accessible on cloud.
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Oracle
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
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Alternatives Considered
Microsoft
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
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Oracle
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
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Return on Investment
Microsoft
  • Power BI usage reduced the effort of analytical reports creation by about 80%
  • Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
  • AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.
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Oracle
  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
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ScreenShots

Microsoft Power BI Screenshots

Screenshot of Microsoft Power BI - Turns insights into impact for business usersScreenshot of Power BI integrates easily with Microsoft 365Screenshot of Microsoft Power BI - AI-Powered CapabilitiesScreenshot of Microsoft Power BI - Copilot can be used to create reportsScreenshot of Microsoft Power BI - Data HubScreenshot of Microsoft Power BI - Scales as organizational needs grow