Data to the People: tb8.1 vs qv11.2 vs sf5.5

After announcement of Tableau 8.1 ( and completion of TCC13) this week people asked me to refresh my comparison of leading Data Visualization tools and I felt it is the good time to do it, because finally Tableau can claim it has 64-bit platform and it is able now to do more advanced Analytics, thanks to Integration with R (both new features needs to be benchmarked and tested, but until my benchmarks are completed I tend to believe to Tableau’s claims).  I actually felt that Tableau may be leapfrogged the competition and now Qlikview and Spotfire have to do something about it (of course if they care).

I enjoyed this week Tableau’s pun/wordplay/slogan “Data to the People” it reminds, of course, other slogan “Power to the People” but also indirectly refers to NYSE Symbol “DATA” which is the SYMBOL of Tableau Software Inc. and it means (indirectly): “Tableau to the People”:


In fact the “keynote propaganda” from Christian Chabot and Chris Stolte was so close to what I am saying for years on this blog, that I used their slogan FEBA4A (“Fast, Easy, Beautiful, Anywhere for Anyone”) as the filter to include or remove from comparison any runner-ups, traditional, me-too and losing tools and vendors.

For example despite the huge recent progress Microsoft did with its BI Stack (updates in Office 2013, 365 and SQL 2012/14 of Power Pivot/View/Map/Query, SSAS, Data Explorer, Polybase, Azure Services, StreamInsight, in-Memory OLTP, Columnstore Indexing etc.) did not prevent me from removal of Microsoft’s BI Stack from comparison (MSFT still trying to sell Data Visualization as a set of add-ins to Excel and SQL Server as oppose to separate product), because it it is not FEBA4A.

For similar reasons I did not include runner-ups like Omniscope, Advizor, Panopticon (it is part of Datawatch now), Panorama, traditional BI vendors, like IBM, Oracle, SAP, SAS, Microstrategy and many me-too vendors like Actuate, Pentaho, Information Builders, Jaspersoft, Jedox, Yellowfin, Bime and dozens of others. I even was able finally to rule out wonderful toolkits like D3 (because they are not for “anyone” and they require brilliant people like Mike Bostock to shine).

I was glad to see similar thinking from Tableau’s CEO in his yesterday’s interview here: and I quote:

“The current generation of technology that companies and governments use to try to see and understand the data they store in their databases and spreadsheets is without exception complicated, development-intensive, staff-intensive, inflexible, slow-moving and expensive. And every one of those adjectives is true for each of the market-share leaders in our industry.”

Here is my brief and extremely personal (yes, opinionated but not bias) comparison of 3 leading Data Visualization (DV Comparison) platforms (if you cannot see in your browser, see screenshot below of Google Doc:

I did not add pricing to comparison, because I cannot find enough public info about it. This is all I have:




  • additional pricing info for Tableau Server Core Licensing: “8 core server (enough to support 1,000 users, or 100 concurrent) for Tableau is $180k first year, about $34k every year after year 1 for maintenance”. With 8 core licensing I actually witnessed support for more then 1000 users: 1300+ active interactors, 250+ Publishers, 3000+ Viewers. I also witnessed (2+ years ago, since then price grew!) more than once that negotiation with Tableau Sales can get you down to $160K for 8 Core license with 20% every year after year 1 for maintenance (so in 2010-2011 total price was about $192K with 1 year maintenance)

  • Also one of visitors indicated to me that current pricing for 8 core Tableau 8.0 license for 1st year is $240K  now plus (mandatory?) 20-25% maintenance for 1st year… However negotiations are very possible and can save you up to 20-25% of “discount”. I am aware of recent cases where 8-core license was sold (after discount) for around $195K with maintenance for 1st year for about $45K so total sale was $240K with 1st year maintenance (25% growth in price for last 3 years).

Below is a screenshot of above comparison, because some browsers (e.g. Safari or Firefox before version 24) cannot see either Google Doc embedded into WordPress or Google Doc itself:


Please note that I did not quantify above which of 3 tools are better, it is not possible until I will repeat all benchmarks and tests (I did many of those in the past; if I will have time in the future, I can do it again) when actual Tableau 8.1 will be released (see latest here: ). However I used above the green color for good and red color for bad (light-colored backgrounds in 3 middle columns indicated good/bad). Also keep in mind that Qliktech and TIBCO may release something new soon enough (say Qlikview 12 or they called it now Qlikview.Next and Spotfire 6), so leapfrogging game may continue.

Update 10/11/13: interesting article about Tableau (in context with Qlikview and Spotfire) by Akram Annous from SeekeingAlpha: . Akram is very active visitor to my blog, especially to this article above. This article only 1 month old but already needs updates due recent pre-announcements about Qlikview.Next (Qlikview 12) and Spotfire 6, which as I predicted showing that leapfrogging game continue at full speed. Akram is brave enough by “targeting” pricing for DATA shares as $55 IN 30 DAYS, $35 IN 6 MONTHS. I am not convinced yet.

frogleap4if you will see the AD below, it is not me, it is…

Tableau 8.1 announced, 8.2 to follow

Today Tableau Customer Conference 2013 started with 3200+ attendees from 40+ countries and 100+ industries, with 700 employees of Tableau, 240 sessions. Tableau 8.1 pre-announced today for release in fall of 2013, also version 8.2 planned for winter 2014, and Tableau 9.0 for later in 2014.

Update 9/10/13: keynote now is available recorded and online:
(Recorded Monday Sept 9, 2013 Christian Chabot, Chris Stolte and the developers LIVE)

New in 8.1: 64-bit, Integration with R, support for SAML, IPV6 and External Load Balancers, Copy/Paste Dashboards and worksheets between workbooks, new Calendar Control, own visual style, including customizing even filters, Tukey’s Box-and-Whisker Box-plot, prediction bands, ranking, visual analytics for everyone and everywhere (in the cloud now)

Planned and new for 8.2: Tableau for MAC, Story Points (new type of worksheet/dashboard with mini-slides as story-points), seamless access to data via data connection interface to visually build a data schema, including inner/left/right/outer visual joins, beautifying columns names, easier metadata etc, Web authoring enhancements (it may get into 8.1: moving quick filters, improvement for Tablets, color encoding.) etc.

8.1:  Francois Ajenstat announced: 64-bit finally (I asked for that for many years) for server processes and for Desktop, support for SAML (single-sign-ON on Server and Desktop), IPV6, External Load Balancers:


SAML8.1: Dave Lion announced R integration with Tableau:


r8.1: Mike Arvold announced “Visual Analytics for everyone”, including implemention of famous Tukey’s Box-and-Whisker Box-plot, better forecasting, prediction bands, ranking, better heatmaps:

MikeArvold8.1: Melinda Minch announced “fast, easy, beautiful”, most importantly copy/paste dashboards and worksheets between workbooks, customizing everything, including quick filters, new calendar control, own visual style, folders in Data Window etc…

MelindaMinch28.2: Jason King pre-announced the Seamless access to data via data connection interface to visually build a data schema, including inner/left/right/outer “visual” joins, beautifying columns names, default formats, new functions like DATEPARSE, appending data-set with new tables, beautifying columns names, easier metadata etc.

JasonKingSeamlessAccess2data28.2: Robert Kosara introduced Story Points (using new type of worksheet/dashboard with mini-slides as story-points) for new Storytelling functionality:

RobertKosara28.2: Andrew Beers pre-announced Tableau 8.2 on MAC and he got a very warm reception from audience for that:

AndrewBeers3Chris Stolte proudly mentioned his 275-strong development team, pre-announced upcoming Tableau Releases 8.1 (this fall), 8.2 (winter 2014) and 9.0 (later in 2014) and introduced 7 “developers” who (see above Francois, Mike, Dave, Melinda, Jason, Robert and Andrew) discussed during this keynote new features (feature list is definitely longer and wider that recent “innovations” we saw from Qlikview 11.2 and even from Spotfire 5.5):

ChrisStolte2Christian Chabot opening keynote today… He said something important: current BI Platforms are not fast, nor easy, they are not beautiful and not for anyone and they are definitely not “anywhere” but only in designated places with appropriate IT personnel (compare with Tableau Public, Tableau Online, Tableau free Reader etc.) and it is only capable to produce a bunch of change requests from one Enterprise’s department to another, which will take long time to implement with any SDLC framework.

CEOChristian basically repeated what I am saying on this blog for many years, check it here : traditional BI software (from SAP, IBM, Oracle, Microstrategy and even Microsoft cannot compete with Tableau, Qlikview and Spotfire) is obsolete and dying and this is very direct challenge and threat to BI vendors (I am not sure if they understand that): your (BI that is) time is over and now it is time for Tableau (also for Qlikview and Spotfire but they are slightly behind now…).

Summer Readings from my Google+ Page

While blog preserving my observations and thoughts, it preventing me to spend enough time to read what other people thinking and saying, so I created almost 2 years ago the extension of this blog in the form of 2 Google+ pages and , where I accumulated all reading pointers for myself and gradually reading those materials when I have time.

Those 2 pages magically became extremely popular (this is unintended result) with total more than 5000 Google+ followers as of today. For example here is a Chart showing monthly growth of the  number of followers for the main extension of this blog :


So please see below some samples of Reading Pointers accumulated over last 3 months of summer by my Google+ pages:

Author trying to simplify BigData Definition as following: “BigData Simplified: Too much data to fit into a single server”:

Recent talk from Donald Farmer:

Dmitry pointing to implementation Disaster of Direct Discovery in Qlikview 11.2:

Specs for Tableau in Cloud:

The DB-Engines Monthly Ranking ranks database management systems according to their popularity. Turned out that only 3 DBMSes are popular: Oracle, SQL Server and MySQL:

According to Dr. Andrew Jennings, chief analytics officer at FICO and head of FICO Labs, three main skills of data scientist are the same 3 skills I tried to find when hiring programmers for my teams 5, 10, 20 and more years ago: 1. Problem-Solving Skills. 2. Communications Skills. 3. Open-Mindedness. This makes all my hires for last 20+ years Data Scientists, right? See it here:

A study finds the odds of rising to another income level are notably low in certain cities, like Atlanta and Charlotte, and much higher in New York and Boston:

Tableau is a prototyping tool:

Why More Data and Simple Algorithms Beat Complex Analytics Models:

New Census Bureau Interactive Map Shows Languages Spoken in America:

Google silently open sourced a tool called word2vec, prepackaged deep-learning software designed to understand the relationships between words with no human guidance. It actually similar to known for a decade methods called PLSI and PLSA:

“Money is not the only reward of education, yet it is surely the primary selling point used to market data science programs, and the primary motivator for students. But there’s no clear definition of data science and no clear understanding of what knowledge employers are willing to pay for, or how much they will pay, now or in the future. Already I know many competent, diligent data analysts who are unemployed or underemployed. So, I am highly skeptical that the students who will invest their time and money in data science programs will reap the rewards they have been led to expect.”:

Some good blog-posts from InterWorks:

Technique for using Tableau data blending to create a dynamic, data-driven “parameter”:

More about Colors:

Russian Postcodes are collected and partially visualized:

EXASolution claims to be up to 1000 times faster than traditional databases and the fastest database in the world – based on in memory computing.

web interest to Tableau and Qlikview: