All data in one place
All data in one place
Qlik enables to collect data from an unlimited number of sources regardless of a technology of its collection. A set of data dedicated to the connectors allows for connecting to all the most popular data sources regardless of whether they are on your own servers or in the cloud.
Database sources
Qlik enables to connect through the dedicated connectors to the following data bases:
 SAP
SAP Oracle
Oracle MySQL
MySQL Azure SQL
Azure SQL PostgreSQL
PostgreSQL MongoDB
MongoDB IBM DB2
IBM DB2 Sybase ASE
Sybase ASE MS SQL Server
MS SQL ServerThe database sources that does not have any dedicated connector can be also connected through the OLE DB and ODBC universal interfaces.
Big Data
Qlik supports all the most popular Big Data engines such as:
 Teradata
Teradata Hadoop
Hadoop Cloudera Impala
Cloudera Impala Amazon Redshift
Amazon Redshift Apache Hive
Apache Hive Google BigQuery
Google BigQuery Presto
Presto Apache Spark
Apache Spark Apache Phoenix
Apache PhoenixAnalise data where it is located by the unique Qlik Associative Big Data Index technology. The QABDI technology allows for using the processes of the Qlik Associative Engine to index data directly in the Big Data source.
Internet sources
The Qlik allows for downloading data from the service networking services and the other Web sources through a set of the ready connectors:
 Facebook
Facebook Twitter
Twitter Sharepoint
Sharepoint YouTube Analytics & Data
YouTube Analytics & Data Google Analytics, AdWords, BigQuery
Google Analytics, AdWords, BigQuery Microsoft Dynamics
Microsoft Dynamics OneDrive
OneDrive JIRA
JIRA Watson Natural Language Understanding
Watson Natural Language Understanding Amazon S3
Amazon S3 Slack
Slack FTP
FTPIf a data source fails to have a dedicated connector, you can still use it. Qlik has an integrated REST connector, that can be configured in any manner in order to acquire data from the Web sources.
The other sources
Qlik enables also to read data from the flat files and the other formats such as:
 Excel
Excel CSV
CSV XML
XML Tabele HTML
Tabele HTML TXT
TXT Delimited
DelimitedThe flat files are frequently treated as the additional complementary sources. For instance, they may include also a hierarchy of the cost centre, which is not included in the system, descriptions of the product categories, mapping abbreviations into names or translations of the names into the other languages.
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