bigquery
![Cloud Data Warehouse Benchmark](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/639f95df6d3102e462522e49_639cedc57a191c2588c2f6a5_Benchmark-Report_BlogHeader_2.png)
Cloud Data Warehouse Benchmark
Our newest benchmark compares price, performance and differentiated features for Redshift, Snowflake, BigQuery, Databricks and Synapse.
![How to Write Cloud Functions in Python](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/61919427d6736de5c5c74c3c_6133a4917295138a3d706813_python-cloud-function.png)
How to Write Cloud Functions in Python
We walk you through the process of setting up a cloud function connector using Python and Google Cloud Platform Functions.
![Developing SQL for Zendesk Ticket Metrics](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/61919501756c4c624be7b030_6133a2af8231a6e60f3913e6_zendeskgreen.png)
Developing SQL for Zendesk Ticket Metrics
Use SQL queries with Zendesk data to assess help desk performance by employing metrics that offer quantitative insight into the efficiency of support teams.
![Why you shouldn't use Postgres or MySQL as your data warehouse](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/61919412767c351d2d98fec2_6133a4b4eabf24b676c7e71b_featured.jpeg)
Why you shouldn't use Postgres or MySQL as your data warehouse
Columnar databases, not OLTP databases, are the appropriate choice for a data warehouse.
![Fivetran Updates Warehoused Databases via Log-Based Replication](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/619194e57dd18bba49f77dc9_6133a2cfc7875533cafcce9b_featured.png)
Fivetran Updates Warehoused Databases via Log-Based Replication
There’s no magical way to keep databases in sync with your data warehouse, but Fivetran does it the most favorable way — with heavy yet easy-to-use and easy-to-implement engineering.
Start for free
Join the thousands of companies using Fivetran to centralize and transform their data.