How to connect Teamleader to Collibra

Discover how to get data from Teamleader (and from other sources) into Collibra by locating it into your data warehouse that is connected to Collibra.
Load your Teamleader data into your central data warehouse to analyze it with Collibra.
To analyze Teamleader data with Collibra, Pipes provides you with fast and easy access to all your data by automatically loading it in your data warehouse. Always up-top-date, no performance issues, without writing a single line of code.
1

Connect your data warehouse

It will be the central database for your Teamleader data. Pipes supports the most popular relational data warehouses in the cloud and on-premises.
2

Connect to Teamleader

You just need to enter the associated credentials to allow Pipes access to the Teamleader API.
3

Create a data pipeline

Create a pipeline from Teamleader to your central data warehouse. The pipeline will run automatically on your defined schedule, so you will always have fresh data available.
4

Access your Teamleader data with Collibra

Connect Collibra to your data warehouse. You will see your Teamleader data there in form of standardized tables. Now you can analyze your data without performance issues!

About Teamleader

Teamleader provides a unified CRM, invoicing, and project planning platform for SMEs. Its easy-to-use software makes work easier for 10,000+ SMEs.

About Collibra

Collibra Software is a data governance platform for data management and administration. It empowers organizations to find meaning in their data and improve business decisions.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.