1. Integrating QlikView with MPP data sources
QlikView can enable ODBC/OLE connections if the source MPP system provide drivers for data extraction
QlikView Data Exchange QVX can be used if no drivers available
Highly optimized data format that QlikView understands natively
Offers a message format specification for communication between a QlikView script and a custom data connector
QlikView does not provide out of box connectors for each of the MPP data sources. Rather it provides APIs for developers who can create custom connectors for these data sources. There are also QlikView partners who develop custom connectors. For-example QVSource is one of them. They provide many connectors to extract data from NoSQL databases, including MongoDB. (
There are three different options to integrate QV with MPP data sources:
1. Some of the MPP systems provide drivers to allow data extraction. In these scenarios, QlikView can enable ODBC/OLE connections through a simple wizard to extract the data.
2. Another option is to use QVX data exchange which is a highly optimized data format that QlikView understands natively. It offers a message format specification for communication between a QlikView script and a custom data connector. By using QVX, data can be extracted from MPP system and loaded into QlikView in an optimized way.
Internal use only

2. Integrating QlikView with MPP data sources
Two methods can be used with QlikView Data Exchange QVX
Method 1 – QVX Files
Method 2 – Network Pipeline
Integrated ETL process
Export source data to intermediate files and load the data into QlikView from these intermediate files.
The EDX trigger capability of QlikView Publisher can be used to create an automated trigger process for the data loads.
To extract data by using QVX, developers can either configure the source system to generate the QVX files (method 1) or create a custom connector with APIs to pull data in QlikView (method 2). For example, QVSource, a QlikView partner, provides connectors to extract data from noSQL type databases by using these APIs.
3. The final option is to export MPP data to intermediate files and load the data into QlikView from these intermediate files. The EDX trigger capability of
QlikView Publisher can be used to create an automated trigger process for the data loads.
Internal use only

3. Integrating QlikView with Hadoop
Hadoop Hive Integration
Hadoop Hive is a data warehouse system and provides SQL interface
JDBC connector can be used to connect Hadoop Hive to QlikView
An example solution is provided on QlikCommunity (
The solution uses a JDBC connector dll for QlikView. With this connector, developers can connect to the Hive instance in QlikView and select the tables to be loaded.
Internal use only

4. Integrating QlikView with Hadoop
Hadoop Hbase and HDFS integration
Hadoop HBase is a column oriented non relational database
HDFS is the distributed file system
Two approaches can be used to extract data from these systems
QlikView Data Exchange QVX
Integrated ETL process
Internal use only