Open in new tab

Overview

K uses 2 approaches to load metadata and logs

  1. Extractor: K can connect to the source and extract metadata/logs directly from the source.

  2. Collector: K cannot access the source. A collector can be deployed within the network to extract metadata/logs from the source. Think of this as an agent that is managed by the client.

All Integrations are available in Collector form. Some Integrations are available in Extractor form where it makes sense to (e.g. SaaS products like Snowflake)


Integrations

We are constantly rolling out new integrations. Reach out to let us know what you need and we can prioritise the roadmap to meet your requirements.

The list of integrations (and their current status: production ready, beta, in progress, in review and not started) is below.

Integration

Status

Collector available

Extractor available

Alteryx

Yes

No

AWS Athena

Yes

Yes

AWS DynamoDB

No

No

AWS Redshift

Yes

Yes

AWS S3 (via Glue Catalog)

Yes

Yes

Azure Data Factory

Yes

Yes

Azure SQL

Yes

Yes

Cognos

Yes

Yes

Databricks

In progress

No (roadmap)

DB2

Yes

No (roadmap)

DBT Cloud

Yes

Yes

DBT Core (Self Hosted)

Yes

N/A

ElasticSearch

Fivetran

Yes

Yes

Great Expectations

Yes

No

Hevo

Yes

Yes

Hightouch

Yes

Yes

Informatica

Yes

No

Kafka

In progress

No (roadmap)

Mysql

Yes

Yes

Netezza

Oracle (12C/ADW)

Yes

Yes

Oracle Analytics Cloud

Yes

Yes

Postgres

Yes

Yes

Power BI

Yes

Yes

Presto / Trino

SAP Business Objects

SAP HANA

Snowflake

Yes

Yes

SQL Server

Yes

Yes

SSAS

SSIS

Yes

Yes

SSRS

Yes

Yes

Tableau Server

Yes

Yes

Tableau Cloud

Yes

Yes

Teradata

Yes

No (roadmap)

Thoughtspot

Yes

Yes

Building your own integrations

We can provide guides if you are interested in building your own integrations to K. Please reach out to support@kada.ai to organise a walkthrough.


Related articles