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    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. FTP
      20. Google BigQuery
      21. Google Cloud Storage
      22. Google Drive
      23. Google Sheets
      24. GraphQL
      25. IBM DB2
      26. IBM Netezza
      27. JIRA
      28. JSON
      29. Local Files
      30. Microsoft Azure Gen2
      31. Microsoft SharePoint
      32. Microsoft SQL Server
      33. Microsoft SQL Server (JTDS)
      34. MongoDB BI
      35. MySQL
      36. NetSuite - SuiteAnalytics
      37. NetSuite - SuiteQL
      38. NetSuite - Web Service
      39. OneLogin
      40. Oracle
      41. Oracle B2C Service
      42. Oracle Cloud Applications
      43. Oracle EPM
      44. Oracle Essbase
      45. Oracle Sales Cloud
      46. PostgreSQL
      47. Presto
      48. Salesforce v1
      49. Salesforce v2
      50. SAP ERP
      51. SAP Hana
      52. SAP Sybase IQ
      53. ServiceNow
      54. Smartsheet
      55. Snowflake
      56. Splunk
      57. SFTP
      58. Teradata
      59. Vertica
      60. XML
      61. Zuora
    3. Built-in Functions
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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

SuiteQL

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

EPM

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

GraphQL

Presto

Data Lake

S3

Microsoft Azure Gen2

Apache Hadoop

Local Files

FTP

SFTP

Google Cloud Storage

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.