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
Toad Database Developer Tools
Score 8.0 out of 10
N/A
Toad by Quest is a database management toolset that database developers, administrators and data analysts use to simplify workflows, create code free from defects, automate frequent or repetitive processes, and minimize risks. Editions include Toad for Oracle, which automates administration tasks and helps proactively manage databases while embracing performance optimization and risk mitigation. Similar editions exist for IBM DB2, SQL Server, SAP, or MySQL and Postgres environments (Toad Edge).
$229
per year
Pricing
Tableau Desktop
Toad Database Developer Tools
Editions & Modules
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Toad Edge For MySQL
$229
per year
Toad Edge For Postgres
$229
per year
Toad for SQL - Pro Edition
$437
per year
Toad for Oracle - Base Edition
$550
per year
Toad for DB2 z/OS - Base Edition
$636
per year
Toad for SAP - Base Edition
$636
per year
Toad for SQL - Xpert Edition
$763
per year
Toad for Oracle - Professional Edition
$829
per year
Toad for SQL - Dev Edition
$930
per year
Toad for DB2 z/OS - Pro Edition
$996
per year
Toad for Oracle - Professional DB Admin Edition
$1,370
per year
Toad for DB2 z/OS - Xpert Edition
$1,529
per year
Toad for SAP - Xpert Edition
$1530
per year
Toad for Oracle - Xpert Plus Edition
$1,753
per year
Toad for DB2 z/OS - Dev Edition
$1,861
per year
Toad for SAP - Dev Edition
$1863
per year
Toad for SAP - Xpert+ Edition
$2099
per year
Toad for SAP - DBA Edition
$3661
per year
Offerings
Pricing Offerings
Tableau Desktop
Toad Database Developer Tools
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
All pricing plans are billed annually.
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More Pricing Information
Community Pulse
Tableau Desktop
Toad Database Developer Tools
Considered Both Products
Tableau Desktop
Verified User
Engineer
Chose Tableau Desktop
SSRS is poor in visualization and clients feel good while looking at dashboards compare to viewing reports on SSRS.
This is much easier to get directly at the data whereas with Tableau and Hyperion you have to have a report created. For my specific team we do not have the ability to create reports so we have to rely on another team to create the reports with takes time and money.
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).
Toad for Oracle is very well suited for all Oracle implementations, be it single instance or RAC. It is best suited for use of Oracle DBA, Developer and Database Engineers. I don't recommend Toad for Oracle for Project Managers or Solution Architects. This can be a pricier choice for these people. They can do fine with free options like SQL Developer.
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.
Toad is a de-facto standard tool for data developers and analysts. Generally speaking it provides almost every function needed to manage data in EDW with great performance and stability.
The nature of clinical data is big-sized: one table may have billions of rows. Toad provides critical functions to manage SQLs, e.g. Top SQL that can monitor and manage SQLs using CPU power and network bandwidth, so that EDW administrator can optimize ETL operations in the best efficiency.
Many of our data analysts are not computer science backgrounded (having clinical / nursing background). Toad provides great auditing tools such as Tuning Lab or SQL Scanner, so that data analysts can train themselves with guidance of the tool.
The power and control it gives is at the same time kind of a negative thing. There's too many options available, even when you don't need them. For simple database operations it's sometimes easier to just use SQL Developer since navigation is way more intuitive and easy.
Related with the above: there is a steep learning curve. However, since this is the main tool for any Oracle developer, this is not that much of a problem.
If I remember well, Toad used to be free, some 20 years ago. Or at least had a free version. It would be nice to have a free version. The dedicated Oracle developers and DBA's won't use the free version, but all the rest of us developers might use it instead of SQL Developer. It would make communications between everybody somewhat easier.
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.
I give is an 8 because nothing is a 10 and there is always room for improvement. I believe the user who is not as technologically inclined would be better suited with an easier way to identify the options for setting the layout up for Toad's GUI. To some it is very cumbersome and confusing.
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.
I give the overall support for Toad for Oracle a 10/10. This is because whenever there has been an issue with this software, our team has got an immediate response. The same can not be said for similar software. The most recent example of this is when we needed to renew our licenses. Some employees were unable to log in to code with the given license key. Support was able to resolve the issue quickly.
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.
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.
Toad is much better than Tableau query writer. Tableau is not intuitive and requires knowledge of proprietary database language to fully implement. Tableau does not perform as quickly and accurately as Toad. Toad is very easy and slim to install. Additional hardware is often required to run Tableau smoothly. Support for Tableau is even more expensive than Toad support.
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.
Quick and easy query development helps reduce man-hours in a project which converts to real dollars.
Query analysis and tuning result in low database overhead and low latency, thus translating into real dollars because a system can thus handle more requests from customers.
Ease of use makes it easy to deploy greenhorns in projects with minimal training, thus helping save money. Otherwise menial and simple jobs would have required experienced DBAs.
