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K Platform currently offers the following Collector Methods:

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Athena (via Collector method)

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AWS RDS Postgres (via Collector method)

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Azure Data Factory (via Collector method)

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Azure SQL (via Collector method)

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BigQuery (via Collector method)

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Cognos (via Collector method)

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Collector Integration General Notes

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DB2 (via Collector method)

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DBT Cloud (via Collector method)

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Glue (via Collector method)

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Hevo (via Collector method)

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Hightouch (via Collector method)

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IICS (via Collector method)

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Informatica (via Collector method)

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MySQL (via Collector method)

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Oracle Analytics Cloud (via Collector method)

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Oracle Database (via Collector method)

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Postgres (via Collector method)

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Power BI (via Collector method)

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Redshift (via Collector method)

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Sensitive Data (e.g. PII) Scanner

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Snowflake (via Collector method)

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SQL Server (via Collector method)

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SSIS (via Collector method)

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SSRS (via Collector method)

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Tableau Cloud (via Collector method)

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Tableau Server (via Collector method)

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Teradata (via Collector method)

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About Collectors

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Collectors are extractors that are developed and managed by you (A customer of K).

KADA provides python libraries that customers can use to quickly deploy a Collector.

Why you should use a Collector

There are several reasons why you may use a collector vs the direct connect extractor:

  1. You are using the KADA SaaS offering and it cannot connect to your sources due to firewall restrictions

  2. You want to push metadata to KADA rather than allow it pull data for Security reasons

  3. You want to inspect the metadata before pushing it to K

Using a collector requires you to manage

  1. Deploying and orchestrating the extract code

  2. Managing a high water mark so the extract only pull the latest metadata

  3. Storing and pushing the extracts to your K instance.

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