Copy data
from Shopify to Microsoft SQL Server
Ingest data from Shopify into Microsoft SQL Server with no code required. Extend if needed with custom code.
E-commerce Platform
What is Shopify?
Shopify is a comprehensive e-commerce platform that allows you to start, grow, and manage your online store.
- Store Customization
- Offers extensive customization options for your online store through themes and templates.
- Payment Processing
- Supports multiple payment gateways and methods to streamline transactions.
- Inventory Management
- Helps you manage your inventory with real-time updates and alerts.
- Marketing and SEO Tools
- Includes built-in marketing and SEO tools to help drive traffic to your store.
Database
What is Microsoft SQL Server?
Microsoft SQL Server is a relational database management system developed by Microsoft, offering enterprise-grade data management and analytics capabilities.
- High Availability
- Offers advanced high-availability solutions, including Always On availability groups.
- Advanced Security
- Provides robust security features, including encryption, access controls, and threat detection.
- Integration with Microsoft Ecosystem
- Seamlessly integrates with other Microsoft products, including Azure, Power BI, and more.
- Comprehensive Tools
- Includes a suite of tools for data management, development, and business intelligence.
Copy data between
Shopify & Microsoft SQL Server
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.