Vertica and Snowflake compete in the data warehousing and analytics sector. Based on the features, Snowflake holds an advantage in cloud integration and flexible scaling, while Vertica excels with in-depth analytical capabilities for large datasets.
Features: Vertica efficiently handles large data volumes with fast query performance, scalability, and rich analytical capabilities. It supports SQL queries and offers excellent data compression without requiring special hardware. Its clustering feature facilitates easy scaling. Snowflake provides flexible node and cluster configurations, supports multiple data formats, and enables easy data accessibility and integration. It offers robust ELT processing and time-travel data features, making it highly scalable in cloud settings.
Room for Improvement: Vertica could improve transactional capabilities, workload management, and SQL optimization. Users seek more intuitive tools for cluster management and system performance monitoring, along with better procedural processing support. Snowflake needs enhancements in cost transparency, stored procedures, and support for unstructured data. Users request simpler ELT functionalities and more native service integrations, alongside improved analytic functions and a user-friendly data handling interface.
Ease of Deployment and Customer Service: Vertica's versatility suits on-premises and hybrid cloud setups, though customer service experiences are mixed, with areas noted for improvement in response times. Snowflake, designed for the cloud, offers seamless deployment in public and hybrid environments and is generally praised for customer service, although there are calls for enhanced technical support quality.
Pricing and ROI: Vertica’s pricing model, based on data size, is considered fair and flexible, offering ROI for complex analytics needs, though some find it expensive. Snowflake's usage and storage-based pricing model poses predictability challenges but provides flexibility and scalability, often offsetting initial cost concerns and offering good value for larger operations.
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.
OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
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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