Load your Amplitude event data into your Snowflake account. You can set up recurring syncs through the Amplitude UI, as well as manually start a sync of your historical data.


  • Depending on your company's network policy, you may need add these IP addresses to your allowlist in order for Amplitude's servers to access your Snowflake instance:

    • Amplitude US IP addresses:
    • Amplitude EU IP addresses:


  • Maximum running time for a single Snowflake SQL query is 12 hours.

Set up a recurring data export to Snowflake

Creating a recurring data export is a simple, three-step process you can handle yourself. Each sync completes within five to ten minutes, though often it's much closer to real time. This method also lets you watch jobs.

To set up a recurring export of your Amplitude data to Snowflake, follow these steps:

Required user permissions

You need admin/manager privileges in Amplitude, as well as a role that allows you to enable resources in Snowflake.

  1. In Amplitude Data, click Catalog and select the Destinations tab.

  2. In the Warehouse Destinations section, click Snowflake.

  3. Under Export Data to Snowflake, choose which data you'd like to include in this export: Export events ingested today and moving forward, Export all merged Amplitude IDs, or export both. For events, you can also specify filtering conditions to only export events that meet certain criteria.

  4. Review the Event table and Merge IDs table schemas and click Next.

  5. In the Snowflake Credentials For Amplitude section, enter the following information:

    • Account Name: This is the account name on your Snowflake account. It's the first part of your Snowflake URL, before ''.
    • Warehouse: The warehouse Amplitude uses to load the data. For best results, this should be a warehouse dedicated to loading Amplitude data to ensure other Snowflake operations aren't disrupted.
    • Database: The database where Amplitude stores data. Dedicate this database specifically to Amplitude data.
    • Role: The role that the connection uses to write this data. The default value of role is AMPLITUDE only.
    • Username: The username Amplitude uses to connect to the Snowflake account.

    Amplitude offers password-based and key pair authentication for Snowflake. If you want to use password authentication, select the Password option and then enter your password in the Password field. If you want to use key pair authentication, select the Key pair option and then click Generate Key.


    If you use password-based authentication, note that your password is case-sensitive.

  6. Copy the autogenerated SQL query and run it in Snowflake to give Amplitude the proper permissions.

  7. Click Next. Amplitude attempts to upload test data using the credentials you entered. If the upload is successful, click Finish.

All future events are automatically sent to Snowflake.

From here, Amplitude generates micro-batch files at five-minute intervals and loads them to customer-owned Snowflake accounts directly every 10 minutes. You are able to see the data in your Snowflake accounts within 20 minutes after Amplitude receives the events.

Export historical Amplitude data to Snowflake

To export your historical data from Amplitude into Snowflake, navigate to the integration, then click Export Data and select a date range.

This process can take anywhere from a single day to several weeks. It depends on your data volume, warehouse size, cluster count, network bandwidth, and number of concurrent historical data exports you currently have, among other factors.

Reduce your Snowflake computation costs

If you are looking to reduce the Snowflake computation costs when receiving data from Amplitude, try these methods:


The effectiveness of these recommendations depends on the frequency with which you export to your Snowflake instance.

  • Modify warehouse size and number of clusters. For shorter export cadences (15 to 30 minutes), try starting with xsmall or small. Then upgrade as needed.
  • When backfilling data into Snowflake, start with a small warehouse and upgrade as needed.
  • You can also try reducing the auto suspend time to 60s. This option might not be available within the Snowflake UI, but can be manually set via direct Snowflake query.

Snowflake export format

Event table schema

The Event table schema includes the following columns:

Column Type Description
amplitude_attribution_ids ARRAY Hashed attribution ids on the event
amplitude_id NUMBER The original Amplitude ID for the user. Use this field to automatically handle merged users. Example: 2234540891
app NUMBER Project ID found in your project's Settings page. Example: 123456
city VARCHAR City. Example: “San Francisco”
client_event_time TIMESTAMP_NTZ Local timestamp (UTC) of when the device logged the event. Example: 2015-08-10T12:00:00.000000
client_upload_time TIMESTAMP_NTZ The local timestamp (UTC) of when the device uploaded the event. Example: 2015-08-10T12:00:00.000000
country VARCHAR Country. Example: "United States"
data VARIANT Dictionary where certain fields such as first_event and merged_amplitude_id are stored
device_carrier VARCHAR Device Carrier. Example: Verizon
device_family VARCHAR Device family. Example: Apple iPhone
device_id VARCHAR The device specific identifier. Example: C8F9E604-F01A-4BD9-95C6-8E5357DF265D
device_type VARCHAR Device type. Example: Apple iPhone 5s
dma VARCHAR Designated marketing area (DMA). Example; San Francisco-Oakland-San Jose, CA
event_id NUMBER A counter that distinguishes events. Example: 1
event_properties VARIANT
event_time TIMESTAMP_NTZ Amplitude timestamp (UTC) which is the client_event_time adjusted by the difference between server_received_time and client_upload_time, specifically: event_time = client_event_time + (server_received_time - client_upload_time) Amplitude uses this timestamp is used to organize events on Amplitude charts. NOTE: If the difference between server_received_time and client_upload_time is less than 60 seconds, the event_time isn't adjusted and equals the client_event_time. Example: 2015-08-10T12:00:00.000000
event_type VARCHAR Event type
group_properties VARIANT
groups VARIANT Group types. See the Accounts documentation for more information.
ip_address VARCHAR IP address. Example: ""
language VARCHAR
library VARCHAR
location_lat FLOAT Latitude. Example: 12.3456789
location_lng FLOAT Longitude. Example: -123.4567890
os_name VARCHAR OS name. Example: ios
os_version VARCHAR OS version.
paying VARCHAR True if the user has ever logged any revenue, otherwise (none). Note: The property value can be modified via the Identify API. Example: true
platform VARCHAR
processed_time TIMESTAMP_NTZ
region VARCHAR Region. Example: California
sample_rate NUMBER
server_received_time TIMESTAMP_NTZ
server_upload_time TIMESTAMP_NTZ Amplitude timestamp (UTC) of when Amplitude servers received the event. Example: 2015-08-10T12:00:00.000000
session_id NUMBER The session start time in milliseconds since epoch. Example: 1396381378123
start_version VARCHAR App version the user was first tracked on. Example: 1.0.0
user_creation_time TIMESTAMP_NTZ event_time (UTC) of the user's first event. Example: 2015-08-10T12:00:00.000000
user_id VARCHAR A readable ID specified by you. Should be something that doesn't change; for that reason, using the user's email address isn't recommended.
user_properties VARIANT
uuid VARCHAR A unique identifier per row (event sent). Example: bf0b9b2a-304d-11e6-934f-22000b56058f
version_name VARCHAR The app version. Example: 1.0.0

Merged User table schema

The Merged User table schema contains the following:

Column Type Description
amplitude_id NUMBER(38,0) The Amplitude ID being merged into a user's original Amplitude ID.
merge_event_time TIMESTAMP The time of the event a user's new Amplitude ID was associated with their original Amplitude ID.
merge_server_time TIMESTAMP The server time of the event when a user's new Amplitude ID was associated with their original Amplitude ID.
merged_amplitude_id NUMBER(38,0) The originally assigned Amplitude ID when the user is first created.
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April 22nd, 2024

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