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Using the Squirro Data loader framework, all major SQL databases are supported.
Data can be loaded in bulk or incrementally.
Atlassian JIRA
Using the Squirro Data loader framework, data from JIRA can be easily ingested into Squirro.
All fields supported by JQL and the Jira REST API v2 are supported. Data can be loaded in bulk or incrementally.
Microsoft Exchange
Using the Squirro Exchange Sync utility emails can be easily ingested into Squirro. See Exchange Sync.
Microsoft SharePoint
Using the Squirro Data loader framework, data from Sharepoint can be easily ingested into Squirro.
This module is currently in beta testing. Contact us for additional information.
QlikView
Using the Squirro Data loader framework, data from QlikView can be ingested into Squirro.
Squirro integrates into the QlikView Loading process, using CSV documents and can benefit from the data transformations that are done for QlikView.
Salesforce.com
Using the Squirro Data loader framework, data from the Salesforce platform can be easily ingested into Squirro.
All objects supported by the Salesforce Object Query Language (SOQL) are supported and can be loaded in bulk or incrementally.
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Using the Squirro Data loader framework, data from the ServiceNow platform can be easily ingested into Squirro.
Both the ServiceNow REST API as well as direct to SQL is supported. Data can be loaded in bulk or incrementally.
Atlassian JIRA
Using the Squirro Data loader framework, data from JIRA can be easily ingested into Squirro.
All fields supported by JQL and the Jira REST API v2 are supported. Data can be loaded in bulk or incrementally.
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The Bulk Loader is a command line interface that interacts with Squirro to upload large volumes of data. Please refer to the Bulk Loader documentation for further information.
Any other system?
The Squirro Data Loader framework is an easy to use and highly extendable solution that enables us to support virtually any 3rd party system.
If you're desired system is not listed yet, please contact us.
Deleting data sources
To delete a data source, hover over its row. A Delete button will appear. Click on the button to delete the data source.
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