Copy data
from SAP Hana to Postgres
Ingest data from SAP Hana into Postgres with no code required. Extend if needed with custom code.
Database
What is SAP Hana?
SAP HANA is an in-memory, column-oriented, relational database management system developed by SAP SE.
- In-Memory Computing
- Leverages in-memory computing for lightning-fast data processing and real-time analytics.
- Advanced Analytics
- Supports advanced analytics, including predictive analytics, spatial data processing, and text analytics.
- High Performance
- Designed for high performance with multi-core and parallel processing capabilities.
- Integrated Platform
- Provides an integrated platform for transactional and analytical workloads.
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
SAP Hana & 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.