27: Building Open Source Data Startup with Airbyte CEO, Michel Tricot The Data Life Podcast
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- Technology
We talk with Michel Tricot, who is the Founder and CEO of Airbyte, which is an open source data integration Y Combinator startup. It has raised over $30M in capital and has been growing quite fast. It was a great conversation and I think you will also enjoy it. 🎉
We cover lots of things in the podcast including:
1. Technical aspects of what Airbyte does, how it sits in the ETL/ ELT landscape, how it differs from other tools such as Fivetran, Stich etc.
2. Data Warehouses being a canonical source of data and how Airbyte helps with bringing the data into the warehouse.
3. How Airbyte works as an open source data tool.
4. Life aspects of running a fast growing start-up including raising capital, hiring etc.
Links to the tools/ services mentioned:
1. Airbyte: airbyte.io
2. Airbyte Slack where you can talk with the team: slack.airbyte.io
3. Dbt for transformation in ELT: getdbt.com
4. Airflow which is a data orchestration tool: https://airflow.apache.org/
5. Astronomer which can host Airflow: https://astronomer.io/
Pay as you use data warehouses:
6. Snowflake Data Warehouse: https://www.snowflake.com/
7. BigQuery Data Warehouse: https://cloud.google.com/bigquery
Set up your own infrastructure:
8. Redshift Data Warehouse: https://aws.amazon.com/redshift/
---
Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message
Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support
We talk with Michel Tricot, who is the Founder and CEO of Airbyte, which is an open source data integration Y Combinator startup. It has raised over $30M in capital and has been growing quite fast. It was a great conversation and I think you will also enjoy it. 🎉
We cover lots of things in the podcast including:
1. Technical aspects of what Airbyte does, how it sits in the ETL/ ELT landscape, how it differs from other tools such as Fivetran, Stich etc.
2. Data Warehouses being a canonical source of data and how Airbyte helps with bringing the data into the warehouse.
3. How Airbyte works as an open source data tool.
4. Life aspects of running a fast growing start-up including raising capital, hiring etc.
Links to the tools/ services mentioned:
1. Airbyte: airbyte.io
2. Airbyte Slack where you can talk with the team: slack.airbyte.io
3. Dbt for transformation in ELT: getdbt.com
4. Airflow which is a data orchestration tool: https://airflow.apache.org/
5. Astronomer which can host Airflow: https://astronomer.io/
Pay as you use data warehouses:
6. Snowflake Data Warehouse: https://www.snowflake.com/
7. BigQuery Data Warehouse: https://cloud.google.com/bigquery
Set up your own infrastructure:
8. Redshift Data Warehouse: https://aws.amazon.com/redshift/
---
Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message
Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support
44 min