Sync data from
Snowflake to Microsoft Excel
Connect your data from Snowflake to Microsoft Excel with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
01
Add your source and destination
Connect to 15+ data sources, like Snowflake, and 150+ destinations, like Microsoft Excel.
Connect
Log in
02
Define your model
Use SQL or select an existing dbt or Looker model.
03
Sync your data
Define how fields from your model map to Microsoft Excel, and start syncing.
email
email
name
name
total_orders
all_orders
last_login
last_login
Model your Snowflake data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Looker
Query using looks. Hightouch turns your look into SQL and will pull from your source.
SQL Editor
Create and Edit SQL from your browser. Hightouch supports SQL native to Snowflake.
Table Selector
Select available tables and sheets from Snowflake and sync using existing views without having to write SQL.
Customer Studio
For less technical users, pass traits and audiences from Snowflake using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Snowflake and Microsoft Excel using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Microsoft Excel). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
About Snowflake
Snowflake is a managed cloud data warehouse that helps you consolidate and aggregate your data into a single, centralized platform to tackle analytics use cases. These workloads include data warehousing, data lakes, data engineering, application development, data sharing, and business intelligence.
Learn more about Snowflake
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