Copy data
from Databricks to Postgres
Ingest data from Databricks into Postgres with no code required. Extend if needed with custom code.
Data Analytics Platform
What is Databricks?
Databricks is a unified data analytics platform that accelerates innovation by unifying data engineering, data science, and business analytics.
- Unified Data Platform
- Combines data engineering, data science, and business analytics in a single platform.
- Collaborative Environment
- Provides collaborative notebooks and integrated workflows to enhance team productivity.
- Scalable and Flexible
- Scales seamlessly with your data and workload demands, ensuring optimal performance and cost-efficiency.
- Advanced Analytics and ML
- Built-in support for machine learning and advanced analytics, allowing for powerful data insights.
Database
What is Postgres?
Postgres, also known as PostgreSQL, is a powerful, open-source relational database system with a strong reputation for reliability, feature robustness, and performance.
- Open Source
- Postgres is an open-source database, providing a cost-effective and customizable solution for data management.
- ACID Compliance
- Ensures atomicity, consistency, isolation, and durability for reliable transaction processing.
- Extensibility
- Postgres supports advanced data types, custom functions, and extensions, allowing for a highly extensible database environment.
- Strong Community Support
- Backed by a large and active community, Postgres benefits from continuous improvements and extensive support.
Copy data between
Databricks & Postgres
Bruin Cloud enables you to copy data between any source and destination.
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.