We performed a comparison between Oracle Analytics Cloud and Tableau based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The solution can scale."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"The solution is user-friendly."
"A valuable feature is the speed of the solution."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"It has the best feature for data augmentation."
"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"The product’s performance is better than other tools."
"It is so easy to do a lot of things. There is a lot of flexibility and creativity in this product. In other products, you don't have this flexibility."
"The most valuable feature is the user experience."
"It is an excellent tool for data capture, processing, and visualization."
"Gradual scalability from simple to complex situations"
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The solution could be more flexible."
"When you implement the product on a small scale, it doesn't generate any ROI."
"It is expensive."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"The scalability has room for improvement."
"The interfaces could be improved and some in-memory operations could be built in."
"The price could be better."
"Tableau is difficult to scale because of the cost, which makes it difficult to scale."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"I am a BI consultant. I have worked on different reporting tools, such as Power BI and MicroStrategy. As compared to other tools, Tableau lags behind in handling huge enterprise-level data in terms of robust security and the single integrated metadata concept. When we connect to large or very big databases, then performance-wise, I sometimes found Tableau a little bit slow. It can have the single metadata concept like other tools for the reusability of the objects in multiple reports."
"It's not an aesthetic platform at the moment."
"Creating empty extracts is not easy."
"The charts in Tableau are quite limited."
"I take a long time to process the hundreds of thousands or millions of records that must be processed every day."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Oracle Analytics Cloud is rated 8.0, while Tableau is rated 8.4. The top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Microsoft Power BI, Oracle Business Intelligence Cloud Service and SAP Analytics Cloud, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Oracle Analytics Cloud vs. Tableau report.
See our list of best BI (Business Intelligence) Tools vendors and best Data Visualization vendors.
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