Ingest data
from anywhere
Ingest data from any source into your data lake or data warehouse, with no code required. Extend if needed with custom code.
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name: raw.users
type: ingestr
parameters:
source_connection: postgres
source_table: 'public.users'
destination: bigquery
Build data pipelines faster
Built-in connectors, defined with YAML
Bruin is a code-based platform, meaning that everything you do comes from a Git repo, versioned. All of the data ingestions are defined in code, version controlled in your repo.
- Multiple platforms
- Bruin supports quite a few platforms as built-in connectors. You can ingest data from AWS, Azure, GCP, Snowflake, Notion, and more.
- Built on open-source
- Bruin's ingestion engine is built on ingestr, an open-source data ingestion tool.
- Custom sources & destinations
- Bruin supports pure Python executions, enabling you to build your own data ingestion code.
- Incremental loading
- Bruin supports incremental loading, meaning that you can ingest only the new data, not the entire dataset every time.
Build safer
End-to-end quality in raw data
Bruin's built-in data quality capabilities are designed to ensure that the data you ingest is of the highest quality and always matches with your expectations.
- Built-in quality checks
- Bruin supports built-in quality checks, such as not_null, accepted_values, and more, all ready to be used in all assets.
- Custom quality checks
- Bruin allows you to define custom quality checks in SQL, enabling you to define your own quality standards.
- Templating in quality checks
- Bruin supports templating in quality checks, meaning that you can use variables in your checks, and run checks only for incremental periods.
- Automated alerting
- Failing quality checks will automatically send alerts to the configured channels, ensuring that you are always aware of the data quality issues.
name: raw.users
type: ingestr
parameters:
source_connection: postgresql
source_table: 'public.users'
destination: bigquery
columns:
# Define columns along with their quality checks
- name: status
checks:
- name: not_null
- name: accepted_values
values:
- active
- inactive
- deleted
# You can also define custom quality checks in SQL
custom_checks:
- name: new user count is greater than 1000
query: |
SELECT COUNT(*) > 1000
FROM raw.users
WHERE status = 'active'
AND created_at BETWEEN "{{start_date}}" AND "{{end_date}}"
Seamless data ingestion
100+ Sources and Destinations. Infinite Possibilities.
Built on ingestr, our open-source engine. Connect your entire data stack with a single command.
1-Week Implementation Guarantee
Need a source that's not listed? Share testing credentials and we'll implement it within 7 days.
Popular Data Pipelines
Stripe → Google BigQuery
Analyze payment data in your data warehouse
PostgreSQL → Snowflake
Migrate production data to cloud warehouse
Salesforce → Databricks
Build customer insights with ML
Apache Kafka → ClickHouse
Stream events to analytics database
MongoDB → Google BigQuery
Structure document data for analysis
Shopify → Amazon Redshift
Centralize store data for reporting
Build Your Data Pipeline
Select a source and destination to see the tutorial
Step 1: Select Source
Step 2: Select Destination
All Available Data Pipeline Combinations
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- PostgreSQL to IBM DB2 data pipeline tutorial
- PostgreSQL to InfluxDB data pipeline tutorial
- PostgreSQL to Microsoft SQL Server data pipeline tutorial
- PostgreSQL to MotherDuck data pipeline tutorial
- PostgreSQL to MySQL data pipeline tutorial
- PostgreSQL to SFTP data pipeline tutorial
- PostgreSQL to SQLite data pipeline tutorial
- PostgreSQL to Snowflake data pipeline tutorial
- QuickBooks to AWS Athena data pipeline tutorial
- QuickBooks to Amazon DynamoDB data pipeline tutorial
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- QuickBooks to ClickHouse data pipeline tutorial
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- QuickBooks to DuckDB data pipeline tutorial
- QuickBooks to Elasticsearch data pipeline tutorial
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- SFTP to CSV Files data pipeline tutorial
- SFTP to ClickHouse data pipeline tutorial
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- SFTP to SQLite data pipeline tutorial
- SFTP to Snowflake data pipeline tutorial
- SQLite to AWS Athena data pipeline tutorial
- SQLite to Amazon DynamoDB data pipeline tutorial
- SQLite to Amazon Redshift data pipeline tutorial
- SQLite to Amazon S3 data pipeline tutorial
- SQLite to CSV Files data pipeline tutorial
- SQLite to ClickHouse data pipeline tutorial
- SQLite to CrateDB data pipeline tutorial
- SQLite to Databricks data pipeline tutorial
- SQLite to DuckDB data pipeline tutorial
- SQLite to Elasticsearch data pipeline tutorial
- SQLite to Google BigQuery data pipeline tutorial
- SQLite to Google Cloud Spanner data pipeline tutorial
- SQLite to Google Cloud Storage data pipeline tutorial
- SQLite to Google Sheets data pipeline tutorial
- SQLite to IBM DB2 data pipeline tutorial
- SQLite to InfluxDB data pipeline tutorial
- SQLite to Microsoft SQL Server data pipeline tutorial
- SQLite to MotherDuck data pipeline tutorial
- SQLite to MySQL data pipeline tutorial
- SQLite to PostgreSQL data pipeline tutorial
- SQLite to SFTP data pipeline tutorial
- SQLite to Snowflake data pipeline tutorial
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- Slack to Amazon DynamoDB data pipeline tutorial
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- Slack to CrateDB data pipeline tutorial
- Slack to Databricks data pipeline tutorial
- Slack to DuckDB data pipeline tutorial
- Slack to Elasticsearch data pipeline tutorial
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- Smartsheet to ClickHouse data pipeline tutorial
- Smartsheet to CrateDB data pipeline tutorial
- Smartsheet to Databricks data pipeline tutorial
- Smartsheet to DuckDB data pipeline tutorial
- Smartsheet to Elasticsearch data pipeline tutorial
- Smartsheet to Google BigQuery data pipeline tutorial
- Smartsheet to Google Cloud Spanner data pipeline tutorial
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- Smartsheet to Google Sheets data pipeline tutorial
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- Smartsheet to InfluxDB data pipeline tutorial
- Smartsheet to Microsoft SQL Server data pipeline tutorial
- Smartsheet to MotherDuck data pipeline tutorial
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- Snowflake to CrateDB data pipeline tutorial
- Snowflake to Databricks data pipeline tutorial
- Snowflake to DuckDB data pipeline tutorial
- Snowflake to Elasticsearch data pipeline tutorial
- Snowflake to Google BigQuery data pipeline tutorial
- Snowflake to Google Cloud Spanner data pipeline tutorial
- Snowflake to Google Cloud Storage data pipeline tutorial
- Snowflake to Google Sheets data pipeline tutorial
- Snowflake to IBM DB2 data pipeline tutorial
- Snowflake to InfluxDB data pipeline tutorial
- Snowflake to Microsoft SQL Server data pipeline tutorial
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- Snowflake to SFTP data pipeline tutorial
- Snowflake to SQLite data pipeline tutorial
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- Solidgate to Amazon DynamoDB data pipeline tutorial
- Solidgate to Amazon Redshift data pipeline tutorial
- Solidgate to Amazon S3 data pipeline tutorial
- Solidgate to CSV Files data pipeline tutorial
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- Solidgate to CrateDB data pipeline tutorial
- Solidgate to Databricks data pipeline tutorial
- Solidgate to DuckDB data pipeline tutorial
- Solidgate to Elasticsearch data pipeline tutorial
- Solidgate to Google BigQuery data pipeline tutorial
- Solidgate to Google Cloud Spanner data pipeline tutorial
- Solidgate to Google Cloud Storage data pipeline tutorial
- Solidgate to Google Sheets data pipeline tutorial
- Solidgate to IBM DB2 data pipeline tutorial
- Solidgate to InfluxDB data pipeline tutorial
- Solidgate to Microsoft SQL Server data pipeline tutorial
- Solidgate to MotherDuck data pipeline tutorial
- Solidgate to MySQL data pipeline tutorial
- Solidgate to PostgreSQL data pipeline tutorial
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- Solidgate to SQLite data pipeline tutorial
- Solidgate to Snowflake data pipeline tutorial
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- Stripe to Amazon DynamoDB data pipeline tutorial
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- Stripe to Snowflake data pipeline tutorial
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- TikTok Ads to CrateDB data pipeline tutorial
- TikTok Ads to Databricks data pipeline tutorial
- TikTok Ads to DuckDB data pipeline tutorial
- TikTok Ads to Elasticsearch data pipeline tutorial
- TikTok Ads to Google BigQuery data pipeline tutorial
- TikTok Ads to Google Cloud Spanner data pipeline tutorial
- TikTok Ads to Google Cloud Storage data pipeline tutorial
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- Trustpilot to CrateDB data pipeline tutorial
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- Trustpilot to DuckDB data pipeline tutorial
- Trustpilot to Elasticsearch data pipeline tutorial
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- Trustpilot to Google Cloud Storage data pipeline tutorial
- Trustpilot to Google Sheets data pipeline tutorial
- Trustpilot to IBM DB2 data pipeline tutorial
- Trustpilot to InfluxDB data pipeline tutorial
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- Trustpilot to MySQL data pipeline tutorial
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- Trustpilot to SFTP data pipeline tutorial
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- Wise to Amazon S3 data pipeline tutorial
- Wise to CSV Files data pipeline tutorial
- Wise to ClickHouse data pipeline tutorial
- Wise to CrateDB data pipeline tutorial
- Wise to Databricks data pipeline tutorial
- Wise to DuckDB data pipeline tutorial
- Wise to Elasticsearch data pipeline tutorial
- Wise to Google BigQuery data pipeline tutorial
- Wise to Google Cloud Spanner data pipeline tutorial
- Wise to Google Cloud Storage data pipeline tutorial
- Wise to Google Sheets data pipeline tutorial
- Wise to IBM DB2 data pipeline tutorial
- Wise to InfluxDB data pipeline tutorial
- Wise to Microsoft SQL Server data pipeline tutorial
- Wise to MotherDuck data pipeline tutorial
- Wise to MySQL data pipeline tutorial
- Wise to PostgreSQL data pipeline tutorial
- Wise to SFTP data pipeline tutorial
- Wise to SQLite data pipeline tutorial
- Wise to Snowflake data pipeline tutorial
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- Zendesk to Amazon DynamoDB data pipeline tutorial
- Zendesk to Amazon Redshift data pipeline tutorial
- Zendesk to Amazon S3 data pipeline tutorial
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- Zendesk to CrateDB data pipeline tutorial
- Zendesk to Databricks data pipeline tutorial
- Zendesk to DuckDB data pipeline tutorial
- Zendesk to Elasticsearch data pipeline tutorial
- Zendesk to Google BigQuery data pipeline tutorial
- Zendesk to Google Cloud Spanner data pipeline tutorial
- Zendesk to Google Cloud Storage data pipeline tutorial
- Zendesk to Google Sheets data pipeline tutorial
- Zendesk to IBM DB2 data pipeline tutorial
- Zendesk to InfluxDB data pipeline tutorial
- Zendesk to Microsoft SQL Server data pipeline tutorial
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- Zendesk to SQLite data pipeline tutorial
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- Zoom to Amazon DynamoDB data pipeline tutorial
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- Zoom to ClickHouse data pipeline tutorial
- Zoom to CrateDB data pipeline tutorial
- Zoom to Databricks data pipeline tutorial
- Zoom to DuckDB data pipeline tutorial
- Zoom to Elasticsearch data pipeline tutorial
- Zoom to Google BigQuery data pipeline tutorial
- Zoom to Google Cloud Spanner data pipeline tutorial
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- Zoom to Google Sheets data pipeline tutorial
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- Zoom to InfluxDB data pipeline tutorial
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- Zoom to MotherDuck data pipeline tutorial
- Zoom to MySQL data pipeline tutorial
- Zoom to PostgreSQL data pipeline tutorial
- Zoom to SFTP data pipeline tutorial
- Zoom to SQLite data pipeline tutorial
- Zoom to Snowflake data pipeline tutorial
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