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.
$70
per month
ThoughtSpot
Score 8.1 out of 10
N/A
ThoughtSpot is an AI-Powered Analytics company, that aims to create a more fact-driven world with an easy to use analytics platform. ThoughtSpot enables users to leverage natural language search powered by large language models to ask and answer data questions. Users within an organization can limitlessly engage with live data in any popular cloud data platform to create and interact with granular, hyper…
$95
per month
Pricing
Tableau Desktop
ThoughtSpot
Editions & Modules
Tableau Creator
$70.00
Per User / Per Month
ThoughtSpot Analytics Team
$95
per month flat subscription
ThoughtSpot Analytics Pro
starts at $30,000
per year consumption-based pricing, pay for what you use
ThoughtSpot Analytics Enterprise
contact for pricing
per year consumption-based pricing, pay for what you use
ThoughtSpot Everywhere Pro
contact for pricing
per year consumption-based pricing, pay for what you use
ThoughtSpot Everywhere Enterprise
contact for pricing
per year consumption-based pricing, pay for what you use
Tableau is indeed better than ThoughtSpot (as of now), but the license for Tableau is expensive. ThoughtSpot integrates BI with AI, which kind of looks like the future.
We have been using Tableau as the enterprise reporting tool and felt sending data to external people had few restrictions hence we tried with ThoughtSpot.
Thoughtspot is a fairly new tool when compared to Tableau. I'll just list the benefits of each one of threse below - Tableau - 1. Much more customizable the Thoughtspot
ThoughtSpot is the leader in embedded analytics and is much easier to work with massive volumes of data. None of the other tools listed had both of those functionalities, which were most important to us. There are other features that they have such as easier drill down, …
Compare to Kibana, which was we used previously, ThoughtSpot is definitely better in terms of UI, visualizations, usability, and the SpotIQ/ML components. The only disadvantage for ThoughtSpot is the lack of drill-down function/click-on filters.
The main reason for selecting Thoughtspot was to share reporting with other external vendors and ease of doing business.
Verified User
Manager
Chose ThoughtSpot
We selected ThoughtSpot with the promise that it would evolve into a Google search for business insights. To date, it has not gotten close in my opinion.
ThoughtSpot is far cheaper and easier to deploy than several of the larger players in the industry. I'd have no concerns in recommending ThoughtSpot to anyone considering a similar solution.
While Thoughtspot runs on "keyword search" technology, it needs the users to import data and build the data model in thoughtspot which creates a duplicate copy of your data mart. Answer Rocket uses "NLP (Natural Language Processing)" to work on your existing database and while …
In ad-hoc reporting...ThoughtSpot is superior in speed-to-results. The other products are capable, however, they require SQL coding and setup that ThoughtSpot only requires on initial load of data. Both PowerBI and ThoughtSpot use a text-based "natural language" query engine, …
ThoughtSpot is just as good at creating the initial graphic for the end user, it might even be better because the user really does not need much technical knowledge in order to create a basic graphic. Currently, ThoughtSpot cannot yet compete with the other tools when it comes …
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.
Well suited for my clients for a Macro view of business insights, credit risk, ESG insights, etc. However, I think ThoughtSpot needs to make exploring underlying data easier, adding a feature where you can click on charts and filters will help users and especially business users to easily understand the granularities as well.
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.
Beautiful visualizations. The visuals are distinct, clean, and easy to discern from one another.
Intelligent querying functionality. When looking to manipulate the data, the search function makes it easy to manipulate the features in the data, along with aggregating them in the way you'd like.
Embedding! It has been a smooth process thus far for our product & technical teams to work with ThoughtSpot and bring it into our product.
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.
I give it just waiting because passport is brilliant and it has helped our organisation In advancing to the next stage in the age of AI. It has allowed or non-tech people to better service and clients in a cost-effective way. George port has allowed us to create new products for us and for our clients increasing our revenue streams and reducing clients churn
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.
The tool is easy to use if you know what you are doing and looking for. I know as they work towards improvements and simple language it will become even easier, but as of now they are doing a great job but there is room for improvement.
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
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
I give it this meeting because the team is not only help able to help us in the current solutions but also amazing and taking feedback and feeding it back to their development team which includes more products and features into ThoughtSpot
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.
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
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.
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.
We also explored Tableau Ask Data. Tableau is our standard for BI in our organization. We want to use the smallest amount of tools in our company to have the best adaption. ThoughSpot will fill a few gaps that we have with our current set up and will also enhance out offering for our employees in the transition of being more data driven within in near future
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.
Because it is very reliable, inside the situation, we need strong internet connection to access a lot of data but easily never had any downtime except during the upgrades
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.
Saved an immense amount of time for a sole analyst on a team by enabling the end-users to ask their own questions instead of always turning to her, allowing her to focus on other priorities.
Immediate answer to question on second POC that led to personnel changes.
