In the analytics category, Teradata and Snowflake Analytics offer distinct advantages. Snowflake seems to hold the upper hand with its seamless cloud integration and flexible pricing model.
Features: Teradata is renowned for its parallel processing capabilities, robust optimizer, and excellent workload management, which help in efficiently handling large data volumes while ensuring transparent scalability. Snowflake Analytics, however, capitalizes on seamless cloud integration, ease of data sharing, and advanced features like time travel, making it highly effective for cloud-based analytics.
Room for Improvement: Teradata could improve its user experience, reduce licensing costs, and enhance cloud compatibility to better support unstructured data. Snowflake Analytics might benefit from improved AI tool integration, enhanced cost management, and better transactional processing.
Ease of Deployment and Customer Service: Teradata offers strong capabilities for on-premises deployments but faces challenges with infrastructure demands. Snowflake's SaaS nature simplifies cloud deployment, allowing for quick scalability. While both receive positive feedback on support, Snowflake's consistency in issue resolution is often rated higher.
Pricing and ROI: Teradata's premium pricing may deter smaller organizations despite its high-quality offering. It is more suitable for large enterprises with comprehensive needs. Snowflake Analytics, with its pay-as-you-go model, provides a more economical option, especially for scalable solutions without large upfront costs, appealing to a wider range of companies.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
It supports both horizontal and vertical scaling effectively.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
AIML-based SQL prompt and query generation could be an area for enhancement.
Navigating the user console can be challenging, particularly when looking for details like the account ID.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Snowflake Analytics is quite economical.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
It is a data offering where I can see data lineage, data governance, and data security.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
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