IBM Netezza Performance Server and Snowflake compete in the data warehousing category. Snowflake seems to have the upper hand due to its flexible cloud deployment and cost-effective scalability.
Features: IBM Netezza Performance Server is known for high-speed query performance, appliance-based architecture featuring FPGAs, and automatic management of structured data. It delivers rapid data loading with minimal manual intervention, emphasizing speed and appliance efficiency. Snowflake offers dynamic scalability, efficient handling of both structured and semi-structured data, and advanced features like time travel and zero-copy cloning. It allows for flexible scaling to accommodate workload variations and emphasizes seamless cloud data management.
Room for Improvement: IBM Netezza Performance Server could enhance its scalability, big data integration, and cloud compatibility, while addressing concurrency limitations and support for unstructured data. Snowflake could improve its administrative tools and user interface, provide more transparency in pricing, and enhance integration capabilities for machine learning and third-party tools, along with better data processing governance.
Ease of Deployment and Customer Service: IBM Netezza Performance Server involves mostly on-premises deployment with some hybrid cloud capabilities and offers commendable customer support. Snowflake is mainly deployed in public cloud environments, offering rapid deployment and flexible infrastructure. Both services receive high user ratings for customer support, though Snowflake's service experience can differ depending on individual user experiences, attracting users focused on cloud-centric models.
Pricing and ROI: IBM Netezza Performance Server, although expensive, offers good ROI for high-performance analysis due to its hardware integration, with costs involving upfront licensing and support. Snowflake offers a flexible pay-as-you-go pricing model, which can be challenging to estimate initially but provides cost control through its credit model. Its adaptability and scalability are balanced against its relatively higher costs for continuous heavy usage, yet these features often justify the investment, providing strong ROI for data-centric enterprises.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
The technical support from Snowflake is very good, nice, and efficient.
It is provided as a pre-configured box, and scaling is not an option.
Snowflake is very scalable and has a dedicated team constantly improving the product.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
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.
What things you are going with to ask the support and how we manage the relationship matters a lot.
If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
It operates as a high-speed data warehouse, which is essential for handling big data.
We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
| Product | Market Share (%) |
|---|---|
| Snowflake | 10.4% |
| IBM Netezza Performance Server | 4.2% |
| Other | 85.4% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 33 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
IBM Netezza Performance Server offers high performance, scalability, and minimal maintenance. It seamlessly integrates SQL for efficient data processing, making it ideal for enterprise data warehousing needs.
IBM Netezza Performance Server is known for its outstanding data processing capabilities. Its integration of FPGA technology, compression techniques, and partitioning optimizes query execution and scalability. Users appreciate its appliance-like architecture for straightforward deployment, distributed querying, and high availability, significantly boosting operations and analytics capabilities. However, there are areas for improvement, particularly in handling high concurrency, real-time integration, and specific big data functionalities. Enhancements in database management tools, XML integration, and cloud options are commonly desired, along with better marketing and community engagement.
What are the key features of IBM Netezza Performance Server?Industries rely on IBM Netezza Performance Server for robust data warehousing solutions, particularly in sectors requiring intensive data analysis such as finance, retail, and telecommunications. Organizations use it to power business intelligence tools like Business Objects and MicroStrategy for customer analytics, establishing data marts and staging tables to efficiently manage and update enterprise data. With the capacity to handle large volumes of compressed and uncompressed data, it finds numerous applications in on-premises setups, powering data mining and reporting with high reliability and efficiency.
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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