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Is Tableau Dead?

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71–80 of 128 posts

Re: Is Tableau Dead?

#71

I hate Tableau with a passion. The main bugbear is that viewers can't see the SQL code the dashboards execute. I am no fan of Looker, but the "Explore here" allows other users to see the SQL and tweak it if needed. Most intermediate data stakeholders are confident enough to modify the where clause to suit their custom needs, allowing them to self-serve. The licensing costs are prohibitive, too. It is almost unafforda…

I really like mode. It strikes a decent balance between being sql/notebook first but also has the memory engine for diving into things by non-tech.

Re: Is Tableau Dead?

#72
I use tableau for scientific, engineering and operations data visualization and it’s a breath of fresh air compared to my years spent writing pages of MATLAB/matplotlib/seaborn/bokeh/plotly code just to get something presentable. For many use-cases it’s even better and faster than JMP’s graph builder, and that’s saying something. The major missing feature is stats tooling (t-tests and CI-based error bars), but the number of use cases that don’t require these is large and the time saved from Tableau’s “immediately presentable” defaults is huge.

Re: Is Tableau Dead?

#73

I was an early Tableau adopter and promoter in my org many years back. At the time the incumbent, Qliksense, was lagging badly and there was genuine grass roots support for Tableau as our next gen BI tool. Adoption grew significantly and people were happy...for a while. I remember reaching out the founder/CEO at the time and getting responses back. It was great. Fast forward today and its different, over time Tableau…

Speaking of too many dashboards, my opinion at this point is that Tableau is where data goes to die. I have so many dashboards that are created in my organization but each dashboard gets one or less views per month. No one ever looks at these dashboards that get created.

My feeling is that these dashboards were probably more like one-time reports that someone decided to automate. But there's definitely a sense of Tableau fatigue. And I don't know if switching to a different technology like Power BI will make that any better.

Re: Is Tableau Dead?

#74
post #63

Earlier quoted context omitted.

Heroku is one of those things that if someone tells me their still on it without a plan to migrate I question the executive leadership at their company. Shade of its former self, expensive, and there are plenty of better options. Really seems like the company is in zombie mode until it's eventual slow demise.

I agree.. but I'm surprised how little Heroku alternatives have popped up yet.. There is new contestants, mostly focussed on more global deploys, but no "Heroku but maintained" that I know of.. yet.

We did a bake off 18 months ago and identified ~5 similar platforms at the time. Fly.io and Render were 2 of them.

We chose Render and have been happy with things just chugging along as they were on Heroku.

Their runtime seems to take up quite a bit more RAM, but the IAC is a great addition resulting in 100% consistent environments.

Re: Is Tableau Dead?

#75

I was an early Tableau adopter and promoter in my org many years back. At the time the incumbent, Qliksense, was lagging badly and there was genuine grass roots support for Tableau as our next gen BI tool. Adoption grew significantly and people were happy...for a while. I remember reaching out the founder/CEO at the time and getting responses back. It was great. Fast forward today and its different, over time Tableau…

Speaking of too many dashboards, my opinion at this point is that Tableau is where data goes to die. I have so many dashboards that are created in my organization but each dashboard gets one or less views per month. No one ever looks at these dashboards that get created. My feeling is that these dashboards were probably more like one-time reports that someone decided to automate. But there's definitely a sense of Tab…

100% same experience at my place.

I go back to thinking about how the data can be pushed rather than pulled. Whilst BI tools have some solutions I never found anything great so ended up with homebrew scripts. Definitely an opportunity space.

Re: Is Tableau Dead?

#76
post #5
post #2

Our renewal got Shanghaied by an extremely greedy and over zealous sales rep who injected himself between us and our renewals reps, and wanted to turn a sub $80k renewal into damn near $200k this year and $300k next. Needless to say it got nowhere fast and, by the time he gave up and threw us “back” to renewals, the damage had been done. We elected to do what they thought was unthinkable and we just walked away. My o…

This is about to be us with Heroku. Feels like software sales has just gotten worse for years now.

I would encourage you to find the exit ASAP from Heroku… we saw continual degradation of service and uptime during our last 2 years there.

Re: Is Tableau Dead?

#77
post #63

Earlier quoted context omitted.

Heroku is one of those things that if someone tells me their still on it without a plan to migrate I question the executive leadership at their company. Shade of its former self, expensive, and there are plenty of better options. Really seems like the company is in zombie mode until it's eventual slow demise.

I agree.. but I'm surprised how little Heroku alternatives have popped up yet.. There is new contestants, mostly focussed on more global deploys, but no "Heroku but maintained" that I know of.. yet.

I am not surprised. There are a handful of competitors but I believe the ship has sailed. I am a complete AWS dunce but it's too easy for me to spin up an ECS with spot machines and run my python app on it. When Heroku hit the scene and for many years, there was no easy alternative. You had to go and provision your own machines to then setup.

Re: Is Tableau Dead?

#78

There seems to be a lot of shade here at Power BI. Forgetting Microsoft’s dominance in the market, I’ve much appreciated Microsoft’s approach to data visualization which is soft on the visuals, but gradually improving them and hard on the programming aspects, such as Power Query or “M” and Data Analysis Expressions (“DAX”). The former they have opened to anyone to create via Power BI visuals SDK. The reason I say thi…

my biggest issue with Power BI after building washboarding for hospitals was that they are dangerous.

There are impossible to drill down and understand - "where did this data come from" - how was this calculated.

Similar to other comments, you can version, it's beyond hard to error check. A python or sql script you can at least verify and recreate. I view Power BI as just the new excel - big files full of hidden errors.

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