Teradata and Microsoft Azure Synapse Analytics are both major players in the data analytics category. While Teradata shines in parallel processing capabilities, Azure Synapse Analytics seems to have the upper hand due to its seamless integration with Azure services and ease of use within the Microsoft ecosystem.
Features: Teradata offers robust parallel processing capabilities for fast query execution and strong performance with large data volumes. It requires management expertise and provides high productivity in hybrid environments. Azure Synapse Analytics integrates well with other Azure services, providing familiarity and ease of use for current Microsoft users. It offers scalable options for processing and analytics, along with a user-friendly interface suited for diverse data tasks.
Room for Improvement: Teradata has high costs and complexity, and it faces challenges in scalability and cloud adoption. Improved integration with big data platforms is needed. Azure Synapse Analytics needs enhancements in integration, security, and usability, and while its cloud capabilities are robust, initial setup complexity and cost management are areas for improvement.
Ease of Deployment and Customer Service: Teradata excels in on-premises and hybrid deployments with reliable technical support, although its response times are criticized. Azure Synapse Analytics benefits from quick deployment in cloud environments due to its Azure integration, but its customer support doesn't meet premium standards.
Pricing and ROI: Teradata's premium pricing reflects its high performance but could drive smaller entities to seek alternatives. It delivers strong ROI through its analytical support infrastructure. Azure Synapse Analytics offers flexible pay-as-you-go pricing models which appeal to businesses seeking scalable solutions without large hardware investments. Its ROI depends on Azure service integration, with costs potentially rising based on usage.
Not monitoring data results often in a big impact on customer services and customer perception.
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.
For the scalability of Microsoft Azure Synapse Analytics, I would rate it a 10 until you remain in the Azure Cloud scalability framework.
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.
Databricks is a very rich solution, with numerous open sources and capabilities in terms of extract, transform, load, database query, and so forth.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
When you scale the solution, the cloud doesn't work anymore in terms of cost.
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.
For Microsoft Azure Synapse Analytics, the integration is the most valuable feature, meaning that whatever you need is fast and easy to use.
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.
| Product | Market Share (%) |
|---|---|
| Teradata | 8.7% |
| Microsoft Azure Synapse Analytics | 6.1% |
| Other | 85.2% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 17 |
| Large Enterprise | 53 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
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.
