Teradata and Microsoft Power BI compete in the data management and business intelligence sector. Based on the comparisons, Teradata holds an advantage in workload management and performance for complex queries, while Power BI excels in data visualization and user-friendliness.
Features: Teradata is praised for its parallel processing architecture, which allows efficient handling of large datasets. It offers robust workload management and comprehensive security features. Scalability is another key feature. Microsoft Power BI is recognized for its exceptional data visualization capabilities, ease of use for end-users, and seamless integration with Microsoft products. Its flexibility and frequent updates introduce new tools for both novice and experienced users.
Room for Improvement: Teradata is noted for high pricing and limited cloud offerings. Users often encounter challenges in managing unstructured data, alongside concerns about the complexity and cost of scaling. Microsoft Power BI users highlight the need for improved real-time capabilities, better handling of large datasets, and more intuitive error messaging. Enhancements in integration and customization options are also desired.
Ease of Deployment and Customer Service: Teradata is commonly deployed in on-premises setups but also supports private and hybrid cloud environments. Its customer and technical support are usually well-rated, though response times can fluctuate. Microsoft Power BI offers flexibility across public, hybrid, and private clouds, with strong integration with Office products. While customer service is generally good, cloud support can be complex during the initial setup.
Pricing and ROI: Teradata's costs are initially high, but many advocate for its long-term value through advanced analytics capabilities, yielding a notable ROI. There is, however, a push for more competitive pricing. Microsoft Power BI is seen as cost-effective, especially compared to competitors like Tableau. It provides both free and reasonably priced premium options, with ROI linked to ease of visualization and integration efficiencies, though its licensing can sometimes be complex.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
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.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
The solution makes it easy for me to develop reports and publish them.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
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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