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Difference Between OLAP and QlikView

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vs.
OLAP
Star Scheme
Sales
campaigns
Sales
organization
Time
Sales, profit,
costs, key
numbers, etc.
Geography
heirarchy
Products
Other
dimension
Snowflake Scheme
Sales
campaigns
Sales
organization
Time
Sales
organization
Time
Sales, profit,
costs, key
numbers, etc.
Products
Geography
heirarchy
Geography
heirarchy
Products
Other
dimension
Other
dimension
Other
dimension
Data Warehouse
Sales
campaigns
Sales
organization
Time
Sales
organization
Time
Sales, profit,
costs, key
numbers, etc.
Products
Geography
heirarchy
Geography
heirarchy
Products
Other
dimension
Other
dimension
Other
dimension
Relational OLAP
User Interface
SQL queries are
generated graphically.
Flexible, but neither fast
nor user-friendly.
Data Warehouse
Multidimensional OLAP
User Interface
Every click is a query. Fast, but
not flexible. Limited number of
dimensions.
Hyper Cube
Build the cube. Lots of Data.
Slow. Everything must be
predefined.
Data Warehouse
Hybrid OLAP
User Interface
Every click is a query. Fast, but
not flexible. Limited number of
dimensions.
Hyper Cube
Drill-through when needed.
Slow, and not user-friendly.
Data Warehouse
User Interface
QlikView file
Data Warehouse
User Interface
Relational database inside
QlikView document.
QlikView file
Data Warehouse is not required.
Any data source will do.
Data Warehouse
User Interface
QlikView file
Load the data… then work off-line!
Data Source
User Interface
QlikView file
User Interface
Every click is a query.
Extremely fast, and very
flexible.
Click !
The selection propagates through the
relational database. The technology
used is called AQL.
AQL™
The patented AQL technology performs its associations
when a QlikView user makes a query through the pointand-click interface.
As a value or several values (in a dimension) are
selected, QlikView makes a split second association
showing only values (in other dimensions and measures)
associated with the current selection.
Simultaneously, graphs and tables (holding one or
several general expressions), are calculated to show the
result of the current selection.
User Interface
Any number of Virtual
hypercubes (Pivot
tables, Diagrams,
Gauges etc.) can be
put in the QlikView
document.
These are calculated on
demand, i.e. on every click.
Summary
• MOLAP
– Limited number of dimensions
– Not Flexible
• ROLAP
– Not User-friendly
• HOLAP
– A poor combination of the two above methods
Summary
• Data warehouse not necessary
• Unlimited number of dimensions
• Possibility for several hypercubes talking to
each other
• Flexible
• User-Friendly
Author
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