Teradata and Domo are leading solutions in the data warehousing and analytics platforms category. Teradata generally outperforms in handling large, complex data environments due to its powerful processing capabilities, while Domo stands out for its user-friendly interface and rapid prototyping, making it ideal for organizations prioritizing ease of use and visualization.
Features: Teradata offers massive parallel processing, advanced partitioning options, and an efficient optimizer that ensures fast query execution. It supports diverse analytics including in-database mining, geospatial, and temporal analysis. Domo provides a wide array of data connectors, supports easy data visualization, and features drag-and-drop ETL, which facilitates quick analytics and reporting.
Room for Improvement: Teradata users often mention its high cost and complexity, with a need for improved cloud integration and handling of unstructured data. There is also a request for enhanced user-friendliness. Domo, although regarded highly for usability, is often seen as expensive. Users seek improvements in visualization options, more intuitive data integration, and enrichments in connector capabilities.
Ease of Deployment and Customer Service: Teradata provides a range of deployment options including on-premises and hybrid cloud, yet it may require significant expertise to set up. Its customer service is praised but can be inconsistent. Domo allows for easy deployment across cloud and on-premises environments and is commended for its user-friendly interface. However, while customer service is generally rated highly, technical support response times have room for improvement.
Pricing and ROI: Teradata is known for its substantial initial costs, but many users see strong ROI due to high performance, making it a choice for larger enterprises. Domo, although costly, offers flexible licensing and quick scaling of analytics projects, delivering immediate ROI for businesses focused on ease of implementation and rapid adoption.
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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