Comparison

I got this question often: which is the best Data Visualization product? Lets compare some DV platforms such as Spotfire, Qlikview, Tableau Software and the Microsoft BI platform (PowerPivot, Excel 2010, SQL Server with its VertiPaq, SSAS, SSRS and SSIS). 2 key factors for tool selection are

  • which makes it easy to comprehend the data,
  • price-performance

Because modern datasets are huge (or growing very fast!), they are usually best comprehended using Data Visualization (DV) with an ability to interact with data through visual drill-down capabilities and dashboards. There is not a single best visualization product.  Each has its place.  For example, Spotfire has best web client and analytical functionality. On the other hand, Qliktech may be the best visualization product for interactive drill-down capabilities.  The Microsoft BI platform provides better price-performance ratio and good for Self-Serviced DV. Tableau has the best ability to interact with OLAP cubes etc. We put into a summary table the comparison of 4 Platforms to help you to evaluate DV products, based on your needs.

Criteria Spotfire Qlikview Tableau MS BI Stack Comment
Business Criteria ======= ======= ======= ======= Speed, Scalability, Price
Implementation Speed Good High Good Average Qlikview is fastest to implement
Scalability Unlimited Limited by RAM Very Good Good Need the expert in scalable SaaS
Pricing High Above Average High Average Microsoft is the price leader
Licensing/support cost High High High Average Smart Client is the best way to save
Enterprise Readiness Excellent Good for SMB Good for SMB Excellent Partners are the key to SMB market
Long-term viability Good 1 product Average Excellent Microsoft are 35+ years in business
Mindshare Analytics Market Growing fast Growing fast 3rd attempt to win BI Qlikview is a DV Leader, Successful IPO
Technical Criteria ======= ======= ======= ======= Drilldown, Analytics, UI
Clients for End Users ZFC, Spotfire Silver RIA, ZFC, Mobile Windows, ZFC Excel, .NET Free Qlikview Personal Edition is a big plus
Interactive Visualization Very Good Excellent Very Good As good as Excel Most users value Visualization over Modeling
Data Integration Good Good Excellent Good Need for Data Integration expert
Visual Drill-Down Very Good Excellent Good Average Qlikview is fastest thanks to in-memory database
Dashboard Support Very Good Excellent Good Below Average Spotfire and Qlikview are best for Dashboards
Integration with GIS Excellent Good Good Average Spotfire has the best GIS integration
Modeling and Analytics Excellent Weak Excellent OLAP Good with SSAS Spotfire is the best, Excel is the most popular
UI & set of Visual Controls Very Good Best Very Good Good Need for UI expert to integrate DV components
Development Environment Rich API, S+ Scripting, Rich API Average Excellent Tableau requires less consulting than competitors
64-bit In-Memory Columnar DB Very Good Excellent In-memory Data Engine Very Good 64-bit RAM allows huge datasets in memory
Summary – Best for: Visual Analytics DV, Drilldown Visual OLAP Self-service BI Good Visualization requires a customization!

We also suggest for you to take a look on other comparisons: Altheon comparing Qlikview, Tableau and Omniscope and others (to be added later)

Notes.

  • TIBCO is a vendor of the balanced Spotfire Platform: Spotfire Professional, Server, Enterprise and Web Players, S-Plus, DecisionSite, Metrics, Data Automation and Miner  technologies, combining in-memory database with interactive Data Visualization, advanced analytics (S+), data mining and multi-filtering functionality. Spotfire 3.2.1 provides best web client and supports iPad
  • Qliktech is a vendor of Qlikview DV Platform: Qlikview Developer, Qlikview Server, Publisher and Access Point tools with a leading in-memory columnar database combined with advanced Visual Drill-Down, Interactive Dashboards and comprehensive set of client software, running even on SmartPhones.
  • Microsoft is a vendor of the most comprehensive set of BI and DV components, including SQL Server, Analytical, Reporting and Integration Services (SSAS, SSRS, SSIS), Sharepoint, Excel 2010 with PowerPivot add-in (Excel is the most popular BI tool, regardless) and VertiPaq engine. I did not include PerformancePoint Server: it was discontinued in April 2009 and PerformancePoint Services from SharePoint I cannot recommend, because I CAN NOT recommend SharePoint.
  • DV expert can be a cost-effective customizer of all of the above with the ability to customize DV with development components from leading technological vendors like Dundas, DevExpress etc.
  • I did not include Oracle, because it does not have own DV tool; however Oracle is an OEM partner with Tableau and resell it as a part of OBIEE toolset.

DV expert can help to select the appropriate DV approach for your specific application. Additional services include the following:

  • Professional gathering of business requirements, system analysis of workflow and dataflow, and functional specifications;
  • The custom software development for Extract, Transform and Load (ETL) processing from large Client Databases into in-memory superfast columnar DB and interactive OLAP Cubes;
  • Design of Custom Data Visualization and dashboards deployed over the Internet through smart client and RIA technologies.

Custom DV applications enable the user to perform visual drill-down, fast searches for outliers in large datasets, easy-to-use root-cause and business logic analysis, interactive data search, and visual and predictive analytics. Some factors and/or features are very important and some I did not mention because they will  be mentioned on other pages and posts of this blog (e,g, see “in-memory” page and DV Tools pages. I perceive that DV area has 4 super-leaders in this area: Qlikview 10, Spotfire 3.2.1, Tableau 6.0 and PowerPivot, but for completeness (because the real function is to be a “Data Visualizers”), I wish to add Visokio’s Omniscope. I do not include vendors who are 1-2 generation behind: SAP, SAS, IBM, Oracle, Microstrategy and I can add to this list a dozen more of mis-leaders. Many vendors working on some in-memory technology. Recently released Tableau 6.0 has now in-memory data engine (64-bit).

Additional factors to consider when comparing DV tools (table above overlaps with list below):

  • - memory optimization [Qlikview is the leader in in-memory columnar database technology];
  • - load time [I tested all products above and PowerPivot is the fastest];
  • - memory swapping [Spotfire is only who can use a disk as a virtual memory, while Qlikview limited by RAM only];
  • - incremental updates [Qlikview probably the best in this area];
  • - thin clients [Spotfire has the the best thin client, especially with their recent release of Spotfire 3.2 and Spotfire Silver];
  • - thick clients [Qlikview has the best THICK client, Tableau has free Desktop Reader, Visokio has Java-based Omniscope Desktop Viewer] ,
  • - access by 3rd party tools [PowerPivot's integration with Excel 2010, SQL Server 2008 R2 Analysis Services and SharePoint 2010 is a big attraction];
  • - interface with SSAS cubes [PowerPivot has it, Tableau has it, Omniscope will have it very soon, Qlikview and Spotfire do not have it],
  • - GUI [3-way tie, it is heavily depends on personal preferences, but Qlikview is more easy to use than others];
  • - advanced analytics [Spotfire 3.2 is the leader here with its integration with S-PLUS and support for IronPython and other add-ons]
  • - the productivity of developers involved with tools mentioned above. In my experience Qlikview is much more productive tool in this regard.

Permalink: http://apandre.wordpress.com/tools/comparison/

10 Responses to Comparison

  1. Wow
    It is so amazing comparison chart.
    good luck.

  2. Ben says:

    This analysis looks spot-on. Thanks for publishing this.

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  5. Johan says:

    Great post ! Any particular reason Oracle wasn’t included ? Do you think they’re not ready for DV ?

    • Andrei Pandre says:

      Johan:

      As I said above, Oracle does not have a good own DV Product (you can say Oracle is not ready), instead Oracle OEM-ed Tableau and sell it under name of Visual Explorer.

  6. Guy Cuthbert says:

    Andrei

    Nice post – and thanks for the link to our QlikView/Omniscope/Tableau comparsion too. A quick one for you – my understanding is that Tableau *can* use virtual memory for large in-memory models (from v6 onwards) – your comments suggest that only Spotfire does this?

    • Andrei Pandre says:

      Guy:

      Starting with v6 Tableau has in-memory data engine and can use a virtual memory too, somewhat similar to Spotfire.

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