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Visitors to this blog keep asking me to estimate Tableau Software prices (including for Tableau Online), even Tableau published all non-server prices on its website here: https://tableau.secure.force.com/webstore However this does not include discounts, especially for enterprise volume of buying no pricing for servers of any kind (at least 2 kinds of server licenses exist) and no pricing for consulting and training.

Thanks to website of Tableau Partner “Triad Technology Partners” we have a good estimate of all Tableau prices (they are always subject of negotiations) in form of so called GSA Schedule (General Services Administration, Federal Acquisition Service, Special Items: No. 132-33 Perpetual Software Licenses, No. 132-34 Maintenance of Software as a Service, No. 132-50 Training Courses) for Tableau Software Products and Services, see it here:

http://www.triadtechpartners.com/vendors/tableau-software/ here (for example it includes prices for IBM Cognos and others):
http://www.triadtechpartners.com/contracts/ and specific Tableau Prices here:
http://www.triadtechpartners.com/wp-content/uploads/Tableau-GSA-Price-List-April-2013.pdf

I grouped Tableau’s Prices (please keep in mind that TRIAD published GSA schedule in April 2013, so it is 1 year old prices, but they are good enough for estimating purposes)  in 5 groups below: Desktop, Server with licensing for Named Users (makes sense if you have less then hundred “registered” users), Core Licenses for Tableau Server (recommended when you have more then 150 “registered” users), Consulting and Training Prices:

Google sheet for spreadsheet above is here:

https://docs.google.com/spreadsheets/d/1oCyXRR3B6dqXcw-8cE05ApwsRcxckgA6QdvF9aF6_80/edit?usp=sharing
and image of it – for those who has misbehaved browsers is below:
TableauPrices2013

Again, please keep in mind that above just an estimate for prices (except for Tableau Online), based on 2013 GSA Schedule, and a good negotiator can always get a good discount (I got it each time I tried). You may also wish to review more general article from Boris Evelson here:

http://blogs.forrester.com/boris_evelson/14-04-22-a_common_denominator_for_pricing_and_negotiating_business_intelligence_bi_and_analytics_software#comment-27689

Note about choice between Core License and Server License with Named Users: I know organizations who choose to keep Named Users Licensing instead of switching to Core License even with more then 300 registered users, because it allows them to use much more capable hardware (with much more CPU Cores).

Observing and comparing multiple (similar) multidimensional objects over time and visually discovering multiple interconnected trends is the ultimate Data Visualization task, regardless of specific research area – it can be chemistry, biology, economy, sociology, publicly traded companies or even so called “Data Science”.

For purposes of this article I like the dataset, published by World Bank: 1000+ Measures (they called it World Development Indicators) of 250+ countries for over 50+ years – theoretically more then 10 millions of DataPoints:

http://data.worldbank.org/data-catalog/world-development-indicators?cid=GPD_WDI

Of course some DataPoints are missing so I restricted myself to 20 countries, 20 years and 25 measures (more reasonable Dataset with about 10000 DataPoints), so I got 500 Time Series for 20 Objects (Countries) and tried to imitate of how Analysts and Scientists will use Visualizations to “discover” Trends and other Data Patterns in such situation and extrapolate, if possible, this approach to more massive Datasets in practical projects. My visualization of this Dataset can be found here:

http://public.tableausoftware.com/views/wdi12/Trends?amp;:showVizHome=no

In addition to Trends Line Chart (please choose Indicator in Filter at bottom of the Chart, I added (in my Tableau Visualization above) the Motion Chart for any chosen Indicator(s) and the Motion Map Chart for GDP Indicator. Similar Visualization for this Dataset done by Google here: http://goo.gl/g2z1b6 .

As you can see below with samples of just 6 indicators (out of 1000+ published by World Bank), behavior of monitored objects (countries) are vastly different.

GDP trends: clear Leader is USA, with China is the fastest growing among economic leaders and Japan almost stagnant for last 20 years (please note that I use “GDP Colors of each country” for all other 1000+ indicators and Line Charts):

GDPTrends

Life Expectancy: Switzerland and Japan provide longest life to its citizens while India and Russian citizens are expected to live less then 70 years. Australia probably improving life expectancy faster than other 20 countries in this subset.

LifExpectancy

Health Expenditures Per Capita: Group of 4: Switzerland, Norway (fastest growing?), Luxemburg and USA health expenses about $9000 per person per year while India, Indonesia and China spent less then $500:

HealthExpenditurePerCapita

Consumer Price Index: Prices in Russia, India and Turkey growing faster then elsewhere, while prices in Japan and Switzerland almost unchanged in last 20 years:

CPI

Mobile Phones Per 100 Persons: Russia has 182 mobile phones per 100 people(fastest growing in last 10 years) while India has less then 70 cellular phones per 100 people.

CellPhonesPer100

Military Expenses as Percentage of Budget (a lot of missing data when it comes to military expenses!):  USA, India and Russia spending more then others – guess why is that:

MilitaryExpensesPercentageOfBudget

 

You can find many examples of Visual Monitoring of multiple objects overtime. One of samples is https://www.tradingview.com/ where over 7000 objects (publicly traded companies) monitored while observing hundreds of indicators (like share prices, Market Capitalization, EBITDA, Income, Debt, Assets etc.). Example (I did for previous blog post): https://www.tradingview.com/e/xRWRQS5A/

Data Visualization Readings, Q1 2014, selected from Google+ extensions of this blog:
http://tinyurl.com/VisibleData and
http://tinyurl.com/VisualizationWithTableau

dvi032914

Data Visualization Index (using DATA+QLIK+TIBX+MSTR; click on image above to enlarge):
Since 11/1/13 until 3/15/14: DATA stock grew 50%. QLIK 11%, MSTR – 6%, TIBX – lost 1%.
Current Market Capitalization: Tableau – $5.5B, QLIK – $2.6B, TIBCO – 3.5B, Microstrategy – $1.4B
Number of Job Openings Today: Tableau – 231, QLIK – 135, Spotfire (estimate) – 30, Microstrategy – 214
However during last 2 weeks of March of 2014 DATA shares lost 24%, QLIK lost 14%, TIBX and MSTR both lost about 10%

Why use R? Five reasons.
http://www.econometricsbysimulation.com/2014/03/why-use-r-five-reasons.html

Studying Tableau Performance Characteristics on AWS EC2
http://tableaulove.tumblr.com/post/80571148718/studying-tableau-performance-characteristics-on-aws-ec2

Head-to-head comparison of Datawatch and Tableau
http://datawatch.com/datawatch-vs-tableau

Diving into TIBCO Spotfire Professional 6.0
http://www.jenunderwood.com/2014/03/25/diving-into-tibco-spotfire-professional-6-0/

TIBCO beats Q1 2014 estimates but Spotfire falters
http://diginomica.com/2014/03/20/tibco-beats-estimates-spotfire-falters/

Qlik Doesn’t Fear Tableau, Oracle In Data Analytics
http://news.investors.com/031314-693154-qlik-focuses-on-easy-to-use-data-analytics.htm?p=full

Best of the visualisation web… February 2014
http://www.visualisingdata.com/index.php/2014/04/best-of-the-visualisation-web-february-2014/

Datawatch: ‘Twenty Feet From Stardom’
http://seekingalpha.com/article/2101513-datawatch-twenty-feet-from-stardom

Tableau plans to raise $345M — more than its IPO — with new stock offering
http://venturebeat.com/2014/03/16/tableau-plans-to-raise-345m-more-than-its-ipo-with-new-stock-offering/

TIBCO Spotfire Expands Connectivity to Key Big Data Sources
http://www.marketwatch.com/story/tibco-expands-connectivity-to-key-big-data-sources-2014-03-11

Tableau and Splunk Announce Strategic Technology Alliance
http://www.splunk.com/view/SP-CAAAKH5?awesm=splk.it_hQ

The End of The Data Scientist!?
http://alpinenow.com/blog/the-end-of-the-data-scientist/

bigData

Data Science Is Dead
http://slashdot.org/topic/bi/data-science-is-dead/

Periodic Table of Elements in TIBCO Spotfire
http://insideinformatics.cambridgesoft.com/InteractiveDemos/LaunchDemo/?InteractiveDemoID=1

Best of the visualisation web… January 2014
http://www.visualisingdata.com/index.php/2014/03/best-of-the-visualisation-web-january-2014/

Workbook Tools for Tableau
http://powertoolsfortableau.com/tableau-workbooks/workbook-tools/

Tapestry Data Storytelling Conference
http://www.tapestryconference.com/attendees
http://www.visualisingdata.com/index.php/2014/03/a-short-reflection-about-tapestry-conference/ ReadingLogo

URL Parameters in Tableau
http://interworks.co.uk/business-intelligence/url-parameters-tableau/

Magic Quadrant 2014 for Business Intelligence and Analytics Platforms
http://www.gartner.com/technology/reprints.do?id=1-1QLGACN&ct=140210&st=sb

What’s Next in Big Data: Visualization That Works the Way the Eyes and Mind Work
http://insights.wired.com/profiles/blogs/what-s-next-in-big-data-visualization-that-works-the-way-the-eyes#axzz2wPWAYEuY

What animated movies can teach you about data analysis
http://www.cio.com.au/article/539220/whatanimatedmoviescanteachaboutdata_analysis/

Tableau for Mac is coming, finally
http://www.geekwire.com/2014/tableau-mac-coming-finally/

Authenticating an External Tableau Server using SAML & AD FS
http://www.theinformationlab.co.uk/2014/02/04/authenticating-external-tableau-server-using-internal-ad/

Visualize this: Tableau nearly doubled its revenue in 2013
http://gigaom.com/2014/02/04/visualize-this-tableau-nearly-doubled-its-revenue-in-2013/

Qlik Announces Fourth Quarter and Full Year 2013 Financial Results
http://investor.qlik.com/releasedetail.cfm?ReleaseID=827231

InTheMiddleOfWinter2

Tableau Mapping – Earthquakes, 300,000,000 marks using Tableau 8.1 64-bit
http://theywalkedtogether.blogspot.com/2014/01/tableaumapping-earthquakes-300000000.html

Data Science: What’s in a Name?
http://www.linkedin.com/today/post/article/20130215205002-50510-the-data-scientific-method

Gapminder World Offline
http://www.gapminder.org/world-offline/

Advanced Map Visualisation in Tableau using Alteryx
http://www.theinformationlab.co.uk/2014/01/15/DrawingArrowsinTableau

Motion Map Chart
https://apandre.wordpress.com/2014/01/12/motion-map-chart/

One of Bill Gates’s favorite graphs redesigned
http://www.perceptualedge.com/blog/?p=1829

Authentication and Authorization in Qlikview Server
http://community.qlik.com/blogs/qlikviewdesignblog/2014/01/07/authentication-and-authorization

SlopeGraph for QlikView (D3SlopeGraph QlikView Extension)
http://www.qlikblog.at/3093/slopegraph-for-qlikview-d3slopegraph-qlikview-extension/

Revenue Model Comparison: SaaS v. One-Time-Sales
http://www.wovenware.com/blog/2013/12/revenue-model-comparison-saas-v-one-time-sales#.UyimffmwIUo

Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It
http://www.wired.com/wiredscience/2013/10/topology-data-sets/all/

Posting data to the web services from QlikView
http://community.qlik.com/docs/DOC-5530

It’s your round at the bar
http://interworks.co.uk/tableau/radial-bar-chart/

Lexical Distance Among the Languages of Europe
http://elms.wordpress.com/2008/03/04/lexical-distance-among-languages-of-europe/

SnowInsteadOfRainJan2014-SNOW

For last 6 years every and each February my inbox was bombarded by messages from colleagues, friends and visitors to this blog, containing references, quotes and PDFs to Gartner’s Magic Quadrant (MQ) for Business Intelligence (BI) and Analytics Platforms, latest can be found here: http://www.gartner.com/technology/reprints.do?id=1-1QLGACN&ct=140210&st=sb .

Last year I was able to ignore these noises (funny enough I was busy by migrating thousands of users from Business Objects and Microstrategy to Tableau-based Visual Reports for very large company), but in February 2014 I got so many questions about it, that I am basically forced to share my opinion about it.

  • 1st of all, as I said on this blog many times that BI is dead and it replaced by Data Visualization and Visual Analytics. That was finally acknowledged by Gartner itself, by placing Tableau, QLIK and Spotfire in “Leaders Quarter” of MQ for 2nd year in a row.

  • 2ndly last 6 MQs (2009-2014) are suspicious for me because in all of them Gartner (with complete disregard of reality) placed all 6 “Misleading” vendors (IBM, SAP, Oracle, SAS, Microstrategy and Microsoft) of wasteful BI platforms in Leaders Quarter! Those 6 vendors convinced customers to buy (over period of last 6 years) their BI software for over $60B plus much more than that was spent on maintenance, support, development, consulting, upgrades and other IT expenses.

There is nothing magic about these MQs: they are results of Gartner’s 2-dimensional understanding of BI, Analytics and Data Visualization (DV) Platforms, features and usage. 1st Measure (X axis) according to Gartner is the “Completeness of Vision” and 2nd Measure (Y axis) is the “Ability to Execute”, which allows to distribute DV and BI Vendors among 4 “Quarters”: RightTop – “Leaders”, LeftTop -“Challengers”, RightBottom – “Visionaires” and LeftBottom – “Niche Players” (or you can say LeftOvers).

mq2014

I decided to compare my opinions (expressed on this blog many times) vs. Gartner’s (they wrote 78 pages about it!) by taking TOP 3 Leaders from Gartner, than taking 3 TOP Visionaries from Gartner (Projecting on Axis X all Vendors except TOP 3 Leaders) than taking 3 TOP Challengers from Gartner (Projecting on Axis Y all Vendors except TOP 3 Leaders and TOP 3 Visionaries ) than TOP 3 “Niche Players” from the Rest of Gartner’s List (above) and taking “similar” choices by myself (my list is wider then Gartner’s, because Gartner missed important to me DV Vendors like Visokio and vendors like Datawatch and Advizor Solutions are not included into MQ in order to please Gartner’s favorites), see the comparison of opinions below:

12DVendorsIf you noticed, in order to be able to compare my opinion, I had to use Gartner’s terms like Leader, Challenger etc., which is not exactly how I see it. Basically my opinion overlapping with Gartner’s only in 25% of cases in 2014, which is slightly higher then in previous years – I guess success of Tableau and QLIK is a reason for that.

BI Market in 2013 reached $14B and at least $1B of it spent on Data Visualization tools. Here is the short Summary of the state of each Vendor, mentioned above in “DV Blog” column:

  1. Tableau: $232M in Sales, $6B MarketCap, YoY 82% (fastest in DV market), Leader in DV Mindshare, declared goal is “Data to the People” and the ease of use.

  2. QLIK: $470M in Sales, $2.5B MarketCap, Leader in DV Marketshare, attempts to improve BI, but will remove Qlikview Desktop from Qlik.Next.

  3. Spotfire: sales under $200M, has the most mature Platform for Visual Analytics, the best DV Cloud Services. Spotfire is limited by corporate Parent (TIBCO).

  4. Visokio: private DV Vendor with limited marketing and sales but has one of the richest and mature DV functionality.

  5. SAS: has the most advanced Analytics functionality (not easy to learn and use), targets Data Scientists and Power Users who can afford it instead of free R.

  6. Revolution Analytics: as the provider of commercial version and commercial support of R library is a “cheap” alternative to SAS.

  7. Microsoft: has the most advanced BI and DV technological stack for software developers but has no real DV Product and has no plan to have it in the future.

  8. Datawatch: $33M in sales, $281M MarketCap, has mature DV, BI and real-time visualization functionality, experienced management and sales force.

  9. Microstrategy: $576M in sales, 1.4B MarketCap; BI veteran with complete BI functionality; recently realized that BI Market is not growing and made the desperate attempt to get into DV market.

  10. Panorama: BI Veteran with excellent easy to use front-end to Microsoft BI stack, has good DV functionality, social and collaborative BI features.

  11. Advizor Solutions: private DV Veteran with almost complete set of DV features and ability to do Predictive Analytics interactively, visually and without coding.

  12. RapidMiner: Commercial Provider of open-source-based and easy to use Advanced Analytical Platform, integrated with R.

Similar MQ for “Advanced Analytics Platforms” can be found here: http://www.gartner.com/technology/reprints.do?id=1-1QXWEQQ&ct=140219&st=sg – have fun:

mq2014aap

In addition to differences mentioned in table above, I need to say that I do not see that Big Data is defined well enough to be mentioned 30 times in review of “BI and Analytical Platforms” and I do not see that Vendors mentioned by Gartner are ready for that, but may be it is a topic for different blogpost…

Update: 

My Best Wishes for 2014 to all visitors of this Blog!

New2014

2013 was very successful year for Data Visualization (DV) community, Data Visualization vendors and for this Data Visualization Blog (number of visitors per grew from average 16000 to 25000+ per month).

From certain point of view 2013 was the year of Tableau – it went public, Tableau has now the largest Market Capitalization among DV Vendors (more than $4B as of Today) and its strategy (Data to the People!) became the most popular among DV users and it had (again) largest YoY revenue growth (almost 75% !) among DV Vendors. Tableau already employed more than 1100 people and still has 169+ job openings as of today. I wish Tableau to stay the Leader of our community and to keep their YoY above 50% – this will not be easy.

Qliktech is the largest DV Vendor and it will exceed in 2014 the half-billion dollars benchmark in revenue (probably closer to $600M by end of 2014) and will employ almost 2000 employees. Qlikview is one of the best DV product on market. I wish in 2014 Qlikview will create Cloud Services, similar to Tableau Online and Tableau Public and I wish Qlikview.Next will keep Qlikview Desktop Professional (in addition to HTML5 client).

I wish TIBCO will stop trying to improve BI or make it better – you cannot reanimate a dead horse; instead I wish Spotfire will embrace the approach “Data to the People” and act accordingly. For Spotfire my biggest wish is that TIBCO will spin it off the same way EMC did with VMWare. And yes, I wish Spofire Cloud Personal will be free and enabled to read at least local flat files and local DBs like Access.

2014 (or may be 2015?) can witness new, 4th DV player coming to competition: Datawatch bought recently Panopticon and if it will complete integration of all products correctly and add features which other DV vendors above already have (like Cloud Services), it can be very competitive player. I wish them luck!

TibxDataQlikQwchFrom051713To122413

Microsoft released in 2013 a lot of advanced and useful DV-related functionality and I wish (I recycling this wish for many years now) that Microsoft finally will package the most its Data Visualization Functionality in one DV product and add it to Office 20XX (like they did with Visio) and Office 365 instead of bunch of plug-ins to Excel and SharePoint.

It is a mystery for me why Panorama, Visokio and Advizor Solutions still relatively small players, despite all 3 of them having an excellent DV features and products. Based on 2013 IPO experience with Tableau may be the best way for them to go public and get new blood? I wish to them to learn from Tableau and Qlikview success and try this path in 2014-15…

For Microstrategy my wish is very simple – they are only traditional BI player who realised that BI is dead and they started in 2013 (actually before then 2013) a transition into DV market and I wish them all success they can handle!

I also think that a few thousands of Tableau, Qlikview and Spotfire customers (say 5% of customer base) will need (in 2014 and beyond) more deep Analytics and they will try to complement their Data Visualizations with Advanced Visualization technologies they can get from vendors like http://www.avs.com/

My best wishes to everyone! Happy New Year!

y16_84590563

Since we approaching (in USA that is) a Thanksgiving Day for 2013 and shopping is not a sin for few days, multiple blog visitors asked me what hardware advise I can share for their Data Science and Visualization Lab(s). First of all I wish you will get a good Turkey for Thanksgiving (below is what I got last year):

Turkey2012

I cannot answer DV Lab questions individually – everybody has own needs, specifics and budget, but I can share my shopping thoughts about needs for Data Visualization Lab (DV Lab). I think DV Lab needs many different types of devices: smartphones, tablets, projector (at least 1), may be a couple of Large Touchscreen Monitors (or LED TVs connectable to PCs), multiple mobile workstations (depends on size of DV Lab team), at least one or two super-workstation/server(S) residing within DV Lab etc.

Smartphones and Tablets

I use Samsung Galaxy S4 as of now, but for DV Lab needs I will consider either Sony Xperia Z Ultra or Nokia 1520 with hope that Samsung Galaxy S5 will be released soon (and may be it will be the most appropriate for DV Lab):

sonyVSnokia

My preference for Tablet will be upcoming Google Nexus 10 (2013 or 2014 edition – it is not clear, because Google is very secritive about it) and in certain cases Google Nexus 7 (2013 edition). Until Nexus 10 ( next generation) will be released, I guess that two leading choices will be ASUS Transformer Pad TF701T

t701

and Samsung Galaxy Note 10.1 2014 edition (below is a relative comparison of the size of these 2 excellent tablets):

AsusVsNote10

Projectors, Monitors and may be Cameras.

Next piece of hardware in my mind is a projector with support for full HD resolution and large screens. I think there are many good choices here, but my preference will be BENQ W1080ST for $920 (please advise if you have a better projector in mind in the same price range):

benq_W1080ST

So far you cannot find too many Touchscreen Monitors for reasonable price, so may be these two 27″ touchscreen monitors (DELL P2714T for $620 or Acer T272HL bmidz for $560) are good choices for now:

dell-p2714t-overview1

I also think that a good digital camera can help to Data Visualization Lab and considering something like this (can be bought for $300): Panasonic Lumix DMC FZ72 with 60X optical zoom and ability to do a Motion Picture Recording as HD Video in 1,920 x 1,080 pixels – for myself:

panasonic_lumix_dmc_fz72_08

Mobile and Stationary Workstations and Servers.

If you need to choose CPU, I suggest to start with Intel’s Processor Feature Filter here: http://ark.intel.com/search/advanced . In terms of mobile workstations you can get quad-core notebook (like Dell 4700 for $2400 or Dell Precison 4800 or HP ZBook 15 for $3500) with 32 GB RAM and decent configuration with multiple ports, see sample here:

m4700

If you are OK with 16GB of RAM for your workstation, you may prefer Dell M3800 with excellent touchscreen monitor (3200×1800 resolution) and only 2 kg of weight. For a stationary workstation (or rather server) good choices are Dell Precision T7600 or T7610 or HP Z820 workstation. Either of these workstations (it will cost you!) can support up to 256GB RAM, up to 16 or even 24 cores in case of HP Z820), multiple high-capacity hard disks and SSD, excellent Video Controllers and multiple monitors (4 or even 6!) Here is an example of backplane for HP Z820 workstation:

HP-z820

I wish to visitors of this blog a Happy Holidays and good luck with their DV Lab Shopping!

With releases of Spotfire Silver (soon to to be a Spotfire Cloud), Tableau Online and attempts of a few Qlikview Partners (but not Qliktech itself yet) to the Cloud and providing their Data Visualization Platforms and Software as a Service, the Attributes, Parameters and Concerns of such VaaS or DVaaS ( Visualization as a Service) are important to understand. Below is attempt to review those “Cloud” details at least on a high level (with natural limitation of space and time applied to review).

But before that let’s underscore that Clouds are not in the skies but rather in huge weird buildings with special Physical and Infrastructure security likes this Data Center in Georgia:

GoogleDataCenterInGeorgiaWithCloudsAboveIt2

You can see some real old fashion clouds above the building but they are not what we are talking about. Inside Data Center you can see a lot of Racks, each with 20+ servers which are, together with all secure network and application infrastructure contain these modern “Clouds”:

GoogleDataCenterInGeorgiaInside2

Attributes and Parameters of mature SaaS (and VaaS as well) include:

  • Multitenant and Scalable Architecture (this topic is too big and needs own blogpost or article). You can review Tableau’s whitepaper about Tableau Server scalability here: http://www.tableausoftware.com/learn/whitepapers/tableau-server-scalability-explained
  • SLA – service level agreement with up-time, performance, security-related and disaster recovery metrics and certifications like SSAE16.
  • UI and Management tools for User Privileges, Credentials and Policies.
  • System-wide Security: SLA-enforced and monitored Physical, Network, Application, OS and Data Security.
  • Protection or/and Encryption of all or at least sensitive (like SSN) fields/columns.
  • Application Performance: Transaction processing speed, Network Latency, Transaction Volume, Webpage delivery times, Query response times
  • 24/7 high availability: Facilities with reliable and backup power and cooling, Certified Network Infrastructure, N+1 Redundancy, 99.9% (or 99.99% or whatever your SLA with clients promised) up-time
  • Detailed historical availability, performance and planned maintenance data with Monitoring and Operational Dashboards, Alerts and Root Cause Analysis
  • Disaster recovery plan with multiple backup copies of customers’ data in near real time at the disk level, a 

    multilevel backup strategy that includes disk-to-disk-to-tape data backup where tape backups serve as a secondary level of backup, not as their primary disaster recovery data source.

  • Fail-over that cascades from server to server and from data center to data center in the event of a regional disaster, such as a hurricane or flood.

While Security, Privacy, Latency and Hidden Cost usually are biggest concerns when considering SaaS/VaaS, other Cloud Concerns surveyed and visualized below. Recent survey and diagram are published by Charlie Burns this month:

CloudConcerns2013

Other survey and diagram are published by Shane Schick in October 2011 and in February of 2013 by KPMG. Here are concerns, captured by KPMG survey:

CloudConcernsKPMG

As you see above, Rack in Data Center can contain multiple Servers and other devices (like Routers and Switches, often redundant (at least 2 or sometimes N+1). Recently I designed the Hosting Data VaaS Center for Data Visualization and Business Intelligence Cloud Services and here are simplified version of it just for one Rack as a Sample.

You can see redundant network, redundant Firewalls, redundant Switches for DMZ (so called “Demilitarized Zone” where users from outside of firewall can access servers like WEB or FTP), redundant main Switches and Redundant Load Balancers, Redundant Tableau Servers, Redundant Teradata Servers, Redundant Hadoop Servers, Redundant NAS servers etc. (not all devices shown on Diagram of this Rack):

RackDiagram

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