Organizations
need to make data-driven decisions. But
how do they obtain sound data and scale and operationalize those data-driven
decisions? Self-service data preparation
solutions from SAP can help. The SAP®
Agile Data Preparation application provides self-service access to trusted
data, offers in-memory performance, and is built for everyone including
business analysts, IT experts, and data stewards.
N/A
Tableau Desktop
Score 8.3 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$75
per month
Pricing
SAP Agile Data Preparation
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
SAP Agile Data Preparation
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Pre-requisite to have SAP HANA in your landscape.
All pricing plans are billed annually.
More Pricing Information
Community Pulse
SAP Agile Data Preparation
Tableau Desktop
Features
SAP Agile Data Preparation
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
SAP Agile Data Preparation
-
Ratings
Tableau Desktop
8.4
175 Ratings
3% above category average
Pixel Perfect reports
00 Ratings
8.1145 Ratings
Customizable dashboards
00 Ratings
9.1174 Ratings
Report Formatting Templates
00 Ratings
8.1151 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
SAP Agile Data Preparation
-
Ratings
Tableau Desktop
8.3
172 Ratings
4% above category average
Drill-down analysis
00 Ratings
8.5167 Ratings
Formatting capabilities
00 Ratings
8.4170 Ratings
Integration with R or other statistical packages
00 Ratings
8.0126 Ratings
Report sharing and collaboration
00 Ratings
8.5165 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
SAP Agile Data Preparation
-
Ratings
Tableau Desktop
8.3
166 Ratings
1% above category average
Publish to Web
00 Ratings
8.0155 Ratings
Publish to PDF
00 Ratings
8.0154 Ratings
Report Versioning
00 Ratings
8.3120 Ratings
Report Delivery Scheduling
00 Ratings
8.6128 Ratings
Delivery to Remote Servers
00 Ratings
8.778 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
SAP Agile Data Preparation is well suited for an organization with loads of data where data can be transformed, analyzed and shared on a single click. Thus, the software is well suited for organization which have intense data working. Further, the software is not suited for small/medium organization as there data would be comparatively less and they may not be able to afford the software.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
Centralized data storage, monitoring, and constant refreshes, as well as synchronization of global data are helping supply chain members reduce risk and secure stronger contracts.
SAP empowers its users for successful data management by providing very easy-to-use tools which allow one to access, manipulate, and update a ton of data.
SAP allows you to create data with having technical programming skills
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
Our organization chose SAP Agile Data Preparation because of its brand name and the pricing. The software was feasible for the organization as it provides loads of feature as compared to other software's at a reasonable price. Additionally, SAP Agile Data Preparation is powered by SAP HANA so that is a prerequisite to data preparation freedom. Also, at the implementation stage the software was working really efficiently in terms of features, durability and performance.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.