Home > Destinations > Snowflake > Piwik

Connect Piwik to Snowflake

Connect Piwik to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Piwik API pipeline.

Piwik export job

First sync scheduled

Piwik Selected accounts

Configured job

Snowflake Destination table

Account Piwik · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Piwik data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Piwik data in PostgreSQL

Bring all your Piwik data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

Piwik Analytics data

INproperties PMsessions CUusers BLpages

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.Piwik_raw

TableScopeStatus

propertiesSelectedReady

sessionsSelectedReady

usersSelectedReady

pagesSelectedReady

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from Piwik so every dashboard, model, and report works with fresh information.

PiwikConfigured account

SnowflakePiwik Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

properties326 updated sessions102 appended Warehouse up to date

Analysis

Unify Piwik with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks properties · Cart abandonment rate Analytics

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

Snowflake model business_360 Unified

FieldFrom

customer_idCRM

Cart abandonment rateproperties

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Piwik metrics and dimensions available in Snowflake

Access 159 metrics and 219 dimensions from Piwik connectors including Revenue, Orders, Goal conversions, Goal conversion rate, Bounce rate, Cart abandonment rate, Downloads, Outlinks, Date, Source / medium, Campaign name, Channel, Page URL, Page title, Product category, Referrer URL and many more...

159

Metrics availables

219

Dimensions availables

View all Piwik Metrics metrics and dimensions

Connect Piwik to Snowflake in minutes

Move your data from Piwik to Snowflake with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Piwik account

Authenticate your Piwik account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Piwik 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields

Authentication Choose one

Password

Key pair

Host Required

xy12345.eu-west-1

Username Required

catchr_service

Database Required

MARKETING.RAW

Private key passphrase Optional

••••••••••••

Private key Required for key pair

-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----

Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day Piwik traffic and conversion performance in SQL.

This example summarizes users, sessions, conversions, and conversion rate by traffic source.

30-day window

SELECT
  traffic_source,
  SUM(active_users) AS active_users,
  SUM(sessions) AS sessions,
  SUM(conversions) AS conversions,
  SAFE_DIVIDE(
    SUM(conversions),
    SUM(sessions)
  ) AS conversion_rate
FROM `your_project.marketing_raw.piwik_events_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY traffic_source
ORDER BY sessions DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Emailing

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

What do I need to export Piwik data to Snowflake?

Register Piwik, save the Snowflake connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "properties".

What does a Piwik table in Snowflake contain?

Select concrete Piwik fields such as Cart abandonment rate, Currency conversion rate, Bounce rate, and Normalized Week of the year. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as properties, sessions, and users.

How do scheduled Snowflake jobs keep Piwik data current?

The "properties" job can begin with a historical Piwik fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

What controls row replacement in a Piwik Snowflake table?

Select a valid date field when configuring the Piwik job for "properties". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

How can I model Piwik performance with Snowflake?

With Piwik data, a Snowflake query can summarize users, sessions, conversions, and conversion rate by traffic source. Turn Cart abandonment rate and Currency conversion rate into a stable Snowflake view that analysts and reporting tools can query repeatedly.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

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100+ sources

Used by the world's leading companies

Export Piwik data to Snowflake

Centralize Piwik data in PostgreSQL

Keep your Snowflake tables up to date

Unify Piwik with the rest of your business data

Piwik metrics and dimensions available in Snowflake

Connect Piwik to Snowflake in minutes

Connect your Piwik account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Piwik traffic and conversion performance in SQL.

Choose what to load into Snowflake.

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