Teradata and Snowflake Analytics are leading solutions in the analytics category. Snowflake seems to have the upper hand with its scalability and cloud-native architecture, providing a balance of performance and cost-effectiveness.
Features: Teradata is renowned for its fast query execution, parallel processing, and reliable performance in complex data warehousing tasks. It supports robust data management and handles large data volumes with efficiency. Snowflake, however, offers advanced features like auto-scaling, time travel, and data sharing capabilities. Its ease of use, scalability, and flexible cloud-native architecture make it particularly appealing for a broad range of analytic applications.
Room for Improvement: Teradata can be expensive and faces challenges with a dated user interface and limited scalability in cloud environments. It requires better integration with other systems and support for unstructured data. Snowflake, while cost-effective, can become expensive with increased usage. It lacks native support for certain analytics integrations and could improve its interface and options for on-premises deployments.
Ease of Deployment and Customer Service: Teradata offers deployment flexibility across on-premises, cloud, and hybrid environments but often requires significant expertise and setup effort. Its customer service is generally favorable, though response times could improve. Snowflake provides a streamlined deployment process with cloud-native design, facilitating easy scalability. Users praise Snowflake’s proactive customer service and user-friendly support.
Pricing and ROI: Teradata is often seen as costly but delivers strong ROI through performance and reliability, suitable for larger enterprises with complex needs. Snowflake employs a usage-based pricing model, aligning costs closely with workloads, making it accessible for diverse applications. It allows for scalability without significant upfront investments, providing a more adaptive cost structure.
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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