SnowETL: Delivering Business Value

• Utilize All Available Data Across Your Company: Improve business processes and gain a competitive advantage by harnessing your company’s comprehensive data resources.
• Leverage the Latest, Most Up-to-Date Data: Drive superior business decisions and achieve better results using the most current data available.
• Low Entry Threshold: Easily create data pipelines by just saving a Python script.
• Access Archived Data Effortlessly: Enhance your strategic approaches with the capability for in-depth analysis of archived data.
• Focus on Data, Not Infrastructure: Invest your resources in analyzing data, rather than in developing complex and costly infrastructure.

Gather your data in existing infrastructure with reduced effort

• No Extra Infrastructure Needed: ETL occurs entirely within Snowflake
• No DevOps Involvement Required: There’s no need to involve DevOps to configure the data pipeline.
• Low Entry Threshold: Easily create data pipelines by just saving a Python script.
• Centralized Data Storage: Aggregate data from various sources into one centralized storage.
• Simple Architecture and Quick Setup: The system ensures easy implementation and quick deployment.
• Full Access to Python Libraries: Utilize any Python library without restrictions.
• Full Access to Source Code: Complete transparency with access to the source code.

Keep control over your data with reduced costs

• No Warehouse Costs During Data Ingestion: Avoid fees for running a warehouse while ingesting data.
• No Extra Tools Needed: Only a Snowflake user account is required.
• Low Data Storage Costs: All data is stored cost-effectively on Snowflake’s stage.

How Does It Work – User-independent

• Scheduled Execution: The Python script is executed at predefined time intervals.
• Output File Management: Files are saved to a dedicated directory or stage.
• Delta Detection: Capable of detecting differences between the current and previous files to process deltas.
• Cost-Efficient Data Loading: Data can be loaded into Snowflake tables using Serverless Tasks, eliminating compute costs without the need for a running warehouse.

SnowETL – architecture

SnowETL – sample connectors

SnowETL currently supports a diverse range of connectors, and we are continuously enhancing its capabilities to support even more.

SnowETL – why?

Do you face the following issues when sharing data with business users?

• It takes too long.
• It requires the involvement of technical specialists.
• It costs too much.
• It requires additional infrastructure.

SnowETL solves these issues. It is:

• Faster – data pipelines are created faster.
• Easier – anyone with Python skills can create data pipelines.
• Cheaper – requires no additional components or extra effort.
• Simpler – requires no additional infrastructure.