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.
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Tableau Public
Score 9.8 out of 10
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Tableau Public is a free edition of the Desktop product. With this edition, data can only be published to the Tableau public website and does not allow work to be saved or exported locally.
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Pricing
Oracle Autonomous Data Warehouse
Tableau Public
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Oracle Autonomous Data Warehouse
Tableau Public
Free Trial
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Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
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Entry-level Setup Fee
No setup fee
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Community Pulse
Oracle Autonomous Data Warehouse
Tableau Public
Features
Oracle Autonomous Data Warehouse
Tableau Public
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Oracle Autonomous Data Warehouse
-
Ratings
Tableau Public
9.8
12 Ratings
19% above category average
Pixel Perfect reports
00 Ratings
9.710 Ratings
Customizable dashboards
00 Ratings
10.012 Ratings
Report Formatting Templates
00 Ratings
9.712 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Oracle Autonomous Data Warehouse
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Ratings
Tableau Public
9.7
12 Ratings
22% above category average
Drill-down analysis
00 Ratings
9.812 Ratings
Formatting capabilities
00 Ratings
9.712 Ratings
Integration with R or other statistical packages
00 Ratings
9.59 Ratings
Report sharing and collaboration
00 Ratings
9.811 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Oracle Autonomous Data Warehouse
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Ratings
Tableau Public
9.5
11 Ratings
15% above category average
Publish to Web
00 Ratings
10.011 Ratings
Publish to PDF
00 Ratings
10.09 Ratings
Report Versioning
00 Ratings
9.89 Ratings
Report Delivery Scheduling
00 Ratings
9.69 Ratings
Delivery to Remote Servers
00 Ratings
8.17 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
Tableau public is the best platform to build dashboards for your personal profile and share with recruiters. It's always good to keep ourselves updated on the latest features, create sample dashboards and save them to a personal profile. Tableau public is free and doesn't need any subscription. anyone can create an account and start building reports.
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.
Data visualization: lots of different options, including bar, scatter, pie, waterfall charts to explore relationships between variables, and to present findings/trends to different teams
Integrates readily with limited, though different data sources: TXT, CSV, TDE, Access
Exports reports for review of different dashboards: client-ready/team-ready, with a clean and tidy presentation in PDF format (or hardcopy)
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.
Tableau Public (both Desktop and Server) like their "for a fee" counterparts offer very easy to learn and use tools to transform data into pictures and gain insights into your data. Most organizations report a reduction in development time of 10x vs. other similar tools, due to the intuitive user interface. That said, with Tableau Public, published workbooks are "disconnected" from the underlying data sources and require periodic updates when the data changes. Users are limited to 1 Gb of storage space per user ID and password as well.
I would like to see better options for public sharing of visualizations and data from within the "for a fee" products as more and more organizations are moving in the direction of data sharing with partners and their communities.
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.
It's free, right? I'll keep using the free version. So the real question to ask is this? Will I pay $999 for the Personal version or $1,999 for the Professional? Yikes! That is a big stretch. I'm not sure about that. The product comparison chart is at: http://www.tableausoftware.com/public/comparison
Tableau public is a great training tool to understand the basics of Tableau before buying it. A great tool to extend Excel's visualization and to publish data for others. Not useful for anything you need secure. No ability to access databases. Static information only.
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.
Start at the end and work backward. Identify the business case / issue and questions the end users have, then identify the data needed, and where to get it.
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
Google Charts/Drive is sufficient for simpler data sets, but it does not integrate with other web platforms and the visualization does not look as professional. I'm not aware of any other competitors that offer the same package as Microsoft.
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.