Wise integration

Wise data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.transfers
type: ingestr
parameters:
  source_connection: wise
  source_table: 'transfers'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/wise.asset.yml

  1. extract · Wise transfersincremental
  2. load · snowflake raw.transfersmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Financial technology company providing international money transfer services, multi-currency accounts, and foreign exchange solutions.

  1. 01

    Add a Wise connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_key
Wise API token
profile_id
Wise profile ID
environment
Environment: live or sandbox (default: live)

Tables

5 tables, ready to load.

  • transfers
  • accounts
  • balances
  • exchange_rates
  • profiles

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Wise.

Does Bruin have a built-in Wise integration?

Yes. Built-in ingestr source.

Which Wise tables can Bruin load?

transfers, accounts, balances, exchange_rates, profiles.

Where can Wise data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Wise?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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