GoodData vs. Tableau Desktop

GoodData is well suited when you have a lot of data sources and you need a single location where you can pipe the data into and then create insights/charts/analytics based on the data you've piped in there. It's also great if you want to customize how the datasets interact with each other and what that logical data model looks like. Super super intuitive there. I think it's not great for data presentation if your product is presenting data to your customers. For internal use, it's great

Incentivized

Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.

• It's a good platform that has a flexible pricing plan which means that users can get hands-on service free at the start.
• GoodData provides its users with excellent charts and drill-down analysis which makes complex large data sets so simplified and easy to understand and interpret.
• For me it is so convenient because everything just gets saturated on a single page.

Incentivized

• 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.

Incentivized

• No option to visualise a pin on a map
• Custom metrics and variables can be tricky to get right
• Hard to gauge where you are in terms of workspace data limits
• Adding and removing DB fields from models is not as intuitive as it could be
• Data model loading logs can be quite dense and hard to read, esp. when new
• Setting up models to correctly reference between DB tables takes practise
• No option to limit the amount of data a model loads once the table is included

Incentivized

• Formatting the data to work correctly in graphical presentations can be time consuming
• Daily data extracts can run slowly depending on how much data is required and the source of the data
• The desktop version is required for advanced functionality, editing on [the] Tableau server allows only limited features

Incentivized

Each client I have worked with and spoken too has renewed their GoodData subscription. I know of not one to date that has cancelled. The GoodData platform has a very high rate of renewal from the discussions I have had with their internal teams as well

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.

Incentivized

After comparing over 20 solution, this is probably not the best in class but the feature set is very competitive. If budget is of no issue, solution like Looker is probably more popular and robust but if you do not want to spend every bit of your budget just for your BI tooling, most users would find GoodData reasonably good enough especially if you are on the SME level

Incentivized

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.

We are approximately one month since go-live. There has been one short outage.

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.

Performance on refreshing metrics works well.

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

Incentivized

The fast and comprehensive responses we got from GoodData regarding the doubts we had experienced while starting to use the products and metrics were of great help in ensuring the metrics we were obtaining were accurate to what we wanted to know about our customers' experience and our product areas of opportunity.

Incentivized

I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though

Incentivized

Petr was a rock star - patient, knowledgeable, clear and easy to work with.

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.

GoodData implementation team was professional and courteous

The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful

Incentivized

Thorough, professional and on time.

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.

Incentivized

We chose gooddata compared to other products because gooddata is easier for ordinary people like me to use. Apart from being easy, gooddata also has many features which are more than enough to help my work and costs incurred by gooddata are lower than when I use other products. Thank you goodata for helping our work

Incentivized

If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.

Incentivized

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.

• It has helped us drive down support ticket volume
• Better data insights of support tickets helped identify key customer issues and channelize efforts accordingly
• Detailed analysis of existing issue, helped identify product defects across the board thereby provide meaning insights to engineering teams to resolve product issues that were previously unknown to us

Incentivized

• 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.

Incentivized