

Snowflake and InfoWorks compete in data management and analytics. Snowflake stands out for its scalability and cloud-native design, while InfoWorks shines in data workflows and automation.
Features: Snowflake provides scalable cloud-native architecture, seamless data sharing and excellent semi-structured data support. InfoWorks offers powerful automation in data engineering, intuitive complex workflow management, and user-friendly tools to streamline processes.
Ease of Deployment and Customer Service: Snowflake features a straightforward cloud-based deployment model with flexible scaling options, offering strong customer support. InfoWorks provides a simplified deployment approach with intuitive automation tools and ensures smooth transitions for complex data environments, emphasizing ease of adoption.
Pricing and ROI: Snowflake has consumption-based pricing, which might result in higher costs with intensive use but offers good ROI for scalable needs. InfoWorks requires potentially higher initial investment but promises significant ROI by saving time and resources through automation. Snowflake’s cost can deter smaller operations, while InfoWorks offers a cost-effective solution for data engineering optimization.
| Product | Market Share (%) |
|---|---|
| Snowflake | 10.1% |
| InfoWorks | 1.0% |
| Other | 88.9% |

| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
Infoworks is the only solution providing complete functionality in a single platform from data ingestion, data synchronization and the building of data models and cubes
Scale your data warehousing and analytics on Hadoop, not by adding armies of people but instead by using advanced machine intelligence
Infoworks is the complete Data Warehousing solution, eliminating the need to integrate multiple disparate point solutions. Infoworks helps organizations lower their EDW costs now and make business users even more successful.
Infoworks is the only solution providing complete functionality in a single platform from data Ingestion, data Synchronization and the building of data models and cubes. Infoworks achieves all this by automatically crawling and synchronizing data from all data sources, dynamically adapting to schema/data changes and automatically organizing the data sets for high performance query access.
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?
What Benefits Should You Look for?
In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
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