IBM Netezza Performance Server and Snowflake compete in the data warehousing domain. Snowflake seems to have the upper hand due to its cloud-native architecture and versatility, appealing to modern data needs.
Features: IBM Netezza offers high-speed processing of complex queries, an integrated hardware-software design, and secure on-premises deployment. Snowflake provides multi-cloud support, automatic scaling, and separation of storage and compute, delivering flexibility and ease in resource management.
Room for Improvement: IBM Netezza could improve by simplifying its setup process for quicker deployment, enhancing connectivity options, and integrating more cloud-based functionalities. Snowflake could work on improving long-term cost predictability, enhancing support for certain localized data privacy regulations, and expanding capabilities for advanced machine learning integration.
Ease of Deployment and Customer Service: Snowflake facilitates straightforward cloud deployment, minimizing time and resource demands, supported by responsive customer service. IBM Netezza requires more effort for on-premises setups, taking a traditional approach that can be resource-intensive.
Pricing and ROI: IBM Netezza involves significant upfront costs due to hardware needs but offers long-term ROI for businesses prioritizing control and security. Snowflake's pay-as-you-go model is cost-efficient, flexible, and scales expenses with growth, potentially providing a quicker ROI.
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.
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.
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.
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.
It operates as a high-speed data warehouse, which is essential for handling big data.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
Being able to perform AI and Machine Learning in the same location as the data is quite advantageous.
Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.
Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.
Its platform is made up of three components:
Snowflake has many valuable vital features. Some of the most useful ones include:
There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.
Below are quotes from interviews we conducted with users currently using the Snowflake solution:
Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."
A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
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