Copy data
from Oracle to Snowflake
Ingest data from Oracle into Snowflake with no code required. Extend if needed with custom code.
Database
What is Oracle?
Oracle Database is a multi-model database management system produced and marketed by Oracle Corporation, known for its enterprise-grade capabilities.
- High Performance
- Offers high performance for transactional and analytical workloads.
- Robust Security
- Includes advanced security features such as encryption, auditing, and data masking.
- Scalability
- Provides excellent scalability for handling large volumes of data and high user loads.
- Comprehensive Tools
- Comes with a wide range of tools for data management, development, and analytics.
Data Warehouse
What is Snowflake?
Snowflake is a cloud-based data-warehousing platform that supports the big data and analytics.
- Multiple Platforms
- Snowflake supports various platforms, allowing seamless integration with AWS, Azure, GCP, and more.
- Built on Cloud
- Snowflake is a cloud-native data platform, offering flexibility and scalability without the need for dedicated infrastructure.
- Secure Data Sharing
- Snowflake provides secure and governed data sharing capabilities, enabling collaboration across your organization and with external partners.
- Elastic Scalability
- Snowflake's elastic scalability allows you to instantly scale up or down based on your workload demands, ensuring optimal performance and cost-efficiency.
Copy data between
Oracle & Snowflake
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.