Teradata and Amazon Redshift are well-known competitors in the data warehousing space. Amazon Redshift appears to have the upper hand due to its favorable pricing and flexibility.
Features: Teradata is admired for its robust parallel processing capabilities and adaptability, offering flexibility with row and column partitioning and an efficient smart optimizer. Its scalability and workload management options are additional highlights. Amazon Redshift is celebrated for its scalability, cost-effectiveness, and seamless cloud integration within AWS services, which simplifies setup and management.
Room for Improvement: Teradata could enhance its pricing models, cloud integration, and support for OLTP processing. Users also desire a more user-friendly interface and better customer support. Amazon Redshift could benefit from speeding up snapshot restoration times, expanding support for SQL functions, and improving unstructured data handling. Enhancements in real-time data integration and cost reductions for smaller data loads are also sought after by users.
Ease of Deployment and Customer Service: Teradata supports diverse deployment environments, including on-premises and hybrid clouds, offering organizational flexibility, though customer service is rated as average. Amazon Redshift is mainly deployed in public cloud environments, praised for its easy setup, yet users occasionally experience delays in technical support, suggesting improvement opportunities.
Pricing and ROI: Teradata is perceived as costly, suitable for larger enterprises with critical performance needs, offering notable ROI. Amazon Redshift stands out for competitive pricing, appealing to cost-conscious users focused on cloud solutions. While it offers various pricing models and good value, it can still be costly for smaller-scale use cases, providing strong ROI, especially for cloud-centric organizations.
Whenever we need support, if there is an issue accessing stored data due to regional data center problems, the Amazon team is very helpful and provides optimal solutions quickly.
It's costly when you enable support.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
The scalability part needs improvement as the sizing requires trial and error.
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.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
They should bring the entire ETL data management process into Amazon Redshift.
Integration with AI could be a good improvement.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
It's a pretty good price and reasonable for the product quality.
The cost of technical support is high.
The pricing of Amazon Redshift is expensive.
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.
The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly.
Scalability is also a strong point; I can scale it however I want without any limitations.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.
Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.
The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.
Amazon Redshift Functionalities
Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:
Reviews from Real Users
“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS
“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini
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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