Snowflake and DATPROF are recognized products in the data management and testing domains. Snowflake seems to have the upper hand due to its advanced scalability and cloud flexibility, despite DATPROF's strong data protection features.
Features: Snowflake offers scalability, flexible and fast processing through its distributed architecture, and multi-format accessibility. DATPROF is strong in data subsetting, data masking, and generating synthetic test data, which are crucial for data protection and test environments.
Room for Improvement: Snowflake should improve its geospatial query capabilities, integration processes, and pricing clarity. Enhancements in client UI tools and reducing the need for external support are also needed. For DATPROF, better API expansion, mainframe support, and more reusability in template implementation would be beneficial.
Ease of Deployment and Customer Service: Snowflake offers flexible deployment across cloud environments with generally responsive technical support, though more SLAs could enhance service. DATPROF's on-premises operation, while helpful to some, suffers from mixed support reviews, particularly in terms of response time.
Pricing and ROI: Snowflake's pay-as-you-go model is flexible but complex, requiring better cost predictability. Despite higher costs, its features could justify investment with effective use. DATPROF's pricing is seen as affordable, though improvements in licensing models could enhance value.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
The technical support from Snowflake is very good, nice, and efficient.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Snowflake is very scalable and has a dedicated team constantly improving the product.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
Cost reduction is one area I would like Snowflake to improve.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
The independence of the compute and storage within Snowflake is key.
Product | Market Share (%) |
---|---|
Snowflake | 5.1% |
DATPROF | 6.5% |
Other | 88.4% |
Company Size | Count |
---|---|
Small Business | 2 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 28 |
Midsize Enterprise | 20 |
Large Enterprise | 56 |
DATPROF offers test data management solutions known for subsetting, easy maintenance, intelligent data modeling, and data protection features, suitable for businesses requiring efficient data handling and compliance across operations.
DATPROF is renowned for capabilities including collaboration without heavy supplier reliance, synthetic data generation, and data masking across applications. Its features allow flexible customization, integration with systems, and scalable masking. Users benefit from its intuitive design and efficient data management while seeking improvements in orchestration features, enhancing discovery-to-masking integration, and expanding APIs. Addressing requirements like template reusability, empty database functionality, and mainframe platform compatibility are focus areas. Suggestions for better synthetic data generation and mainframe alliances highlight future growth potential.
What are DATPROF's most valuable features?In industries requiring stringent data protection such as finance and healthcare, DATPROF is crucial for managing test databases, meeting CI/CD targets, and ensuring GDPR compliance. Teams leverage DATPROF for transitioning to cloud environments, masking sensitive data, and creating synthetic data, thereby supporting diverse IT environments.
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?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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