Teradata and Microsoft Azure Synapse Analytics compete in the large-scale data processing and analytics market. Microsoft Azure Synapse Analytics seems to have the upper hand due to its seamless integration within the Azure ecosystem and ease of use.
Features: Teradata is known for its parallel processing and scalability, offering reliable performance in structured data environments with powerful optimization features. Microsoft Azure Synapse Analytics provides strong analytics functions and flexibility for both structured and unstructured data with excellent integration capabilities.
Room for Improvement: Teradata could improve on pricing, flexibility in cloud environments, and handling of unstructured data. Microsoft Azure Synapse Analytics needs better integration for larger datasets, streamlined initial setup, and enhanced support for machine learning and IoT features.
Ease of Deployment and Customer Service: Teradata offers versatile deployment options, supporting on-premises and hybrid models with noted satisfaction in technical support. Microsoft Azure Synapse Analytics supports easier cloud-based deployments, with well-rated technical support and praised Azure services integration.
Pricing and ROI: Teradata is perceived as a high-end solution with significant costs, offering substantial ROI for large environments. Microsoft Azure Synapse Analytics offers flexible pricing models, including pay-as-you-go options, posing cost-effectiveness challenges for high usage scenarios.
They are slow to respond and not very knowledgeable.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Microsoft Azure Synapse Analytics is scalable, offering numerous opportunities for scalability.
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.
I find the service stable as I have not encountered many issues.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
There is a need for better documentation, particularly for customized tasks with Microsoft Azure Synapse Analytics.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
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.
Microsoft Azure Synapse Analytics offers significant visibility, which helps us understand our usage more clearly.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.
Microsoft Azure Synapse Analytics is built with these 4 components:
Microsoft Azure Synapse Analytics Features
Microsoft Azure Synapse Analytics has many valuable key features, including:
Microsoft Azure Synapse Analytics Benefits
Some of the benefits of using Microsoft Azure Synapse Analytics include:
Reviews from Real Users
Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.
PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
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.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
