1. On-premises 5.1
  2. Guides
  3. Tours
  4. Concepts
  5. Tools
  6. References
    1. Apache Spark
    2. Connectors
      1. Amazon Web Services (AWS) Athena
      2. Amazon Web Services (AWS) DynamoDB
      3. Amazon Web Services (AWS) RedShift
      4. Amazon Web Services (AWS) S3
      5. Apache Drill
      6. Apache Hadoop HDFS
      7. Apache Hive
      8. Apache Kafka
      9. Box
      10. Cassandra (Simba)
      11. Cassandra (Incorta)
      12. Cisco Meraki
      13. Cosmos DB
      14. Custom CData
      15. Custom SQL
      16. Dropbox
      17. File System (LocalFiles)
      18. Freshservice
      19. Google BigQuery
      20. Google Drive
      21. Google Sheets
      22. IBM DB2
      23. IBM Netezza
      24. JIRA
      25. JSON
      26. Local Files
      27. Microsoft Azure Gen2
      28. Microsoft SharePoint
      29. Microsoft SQL Server
      30. Microsoft SQL Server (JTDS)
      31. MongoDB BI
      32. MySQL
      33. NetSuite - SuiteAnalytics
      34. NetSuite - Web Service
      35. OneLogin
      36. Oracle
      37. Oracle B2C Service
      38. Oracle Cloud Applications
      39. Oracle Essbase
      40. Oracle Sales Cloud
      41. PostgreSQL
      42. Presto
      43. Salesforce v1
      44. Salesforce v2
      45. SAP ERP
      46. SAP Hana
      47. SAP Sybase IQ
      48. ServiceNow
      49. Smartsheet
      50. Snowflake
      51. Splunk
      52. Teradata
      53. Vertica
      54. XML
      55. Zuora
    3. Built-in Functions
    4. Incorta Connector SDK
    5. Security
    6. Visualizations
    7. Other
  7. Integrations
  8. Data applications
  9. Releases

Connectors → All

A connector specifies how the Loader Service connects to an external system or application and ingests data using a certain protocol, service, or Application Programming Interface (API). An instance of a connector with defined properties in a tenant is an External Data Source. You can create an external data source using a connector with the Data Manager. You can also develop your own connector using the Connector SDK.

In most cases, you use a connector to create an external data source. To create an external data source, you can use the Data Manager.

Application

DynamoDB

Cisco Meraki

Freshservice

Jira

SuiteAnalytics

Web Service

B2C Service

Essbase

Cloud Applications

Sales Cloud

Salesforce v1

Salesforce v2

SAP ERP

ServiceNow

Smartsheet

Splunk

Zuora

Database

Apache Hive

IBM DB2

MongoDB BI

MySQL

Netezza

Oracle

PostgreSQL

Redshift

HANA

Sybase IQ

Snowflake

Microsoft SQL Server

Microsoft SQL Server (jTDS)

Teradata

Vertica

File System

Box

Dropbox

Google Drive

JSON

OneLogin

Microsoft SharePoint

XML

Query Service

Athena

Apache Drill

Google BigQuery

Cassandra

Cassandra (Simba)

Azure Cosmos DB

Presto

Data Lakes

S3

Microsoft Azure Gen2

Apache Hadoop

Local Files

FTP

SFTP

Custom

Custom CData

Custom SQL

Streaming Data

Apache Kafka

Other

Google Sheets

Data File

File System

Note: Files System connector

It is not possible to create an external data source with the File System connector. LocalFiles is a built-in external data source that uses the File System connector. To extract data from a local data file, you can use LocalFiles as the Data Source type for a physical schema table.