Teradata and Domo are competitors in the data analytics and business intelligence categories. Teradata appears to have the upper hand in handling complex, large-scale data analytics due to its parallel processing capabilities, while Domo scores higher for user accessibility and ease of use.
Features: Teradata offers impressive parallel processing capabilities for efficiently handling complex queries and terabytes of data. It provides robust data warehousing solutions conducive to scalability. Teradata's extensive feature set includes adaptable architecture, allowing deployment on various platforms. Domo, on the other hand, is distinguished by its ease of use, enabling non-technical users to create dashboards and perform visual analytics effortlessly. It supports a wide range of data connectors, facilitating quick deployment and access to diverse data sources. Domo also offers a highly effective drag-and-drop interface for building data transformations.
Room for Improvement: Teradata users cite its high cost as a significant limitation, particularly for smaller businesses, and express a need for improved support for big data platforms and more competitive pricing. There's also a demand for a better user interface. Domo users highlight issues with its high pricing and limited visualization options. Improved customer support and a more flexible pricing model are suggested as areas for enhancement.
Ease of Deployment and Customer Service: Teradata is versatile, supporting on-premise and hybrid cloud deployments, though setup complexity remains a challenge. Its technical support receives mixed feedback. Domo excels in cloud deployment ease, offering an intuitive experience with praised customer service, although some users indicate a need for further enhancements.
Pricing and ROI: Teradata's high cost is a barrier for small companies, yet it delivers good value for large projects due to its reliability. Meanwhile, Domo is seen as relatively expensive compared to competitors, potentially impacting smaller companies. Its pricing is often justified by its ease of use, facilitating quick adoption and ensuring satisfactory ROI for larger enterprises.
While they eventually provide the correct answers, their support for smaller customers could be improved.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Sigma, which is written for Snowflake, scales more easily than Domo.
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 stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
End users require a license to run their own reports and dashboards, which are fairly expensive.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Domo is expensive compared to other solutions.
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.
I have been using it for four years and have been able to extract the information I need from it.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.
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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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