Teradata and Sisense compete in the data analytics and business intelligence category. Teradata often has the upper hand due to its performance and scalability, especially with complex datasets, while Sisense appeals with its user-friendly interface and integration capabilities.
Features: Teradata offers robust parallel processing architecture, efficient complex query execution, and comprehensive analytics tools. Its system logs facilitate performance tuning, and it supports adaptability across various environments. Sisense excels with ease of use, diverse visualizations, and strong data integration capabilities, offering a seamless connection to multiple data sources.
Room for Improvement: Teradata faces high costs, scalability challenges, and needs better concurrency. Users desire improved processing power and more user-friendly interfaces. Sisense struggles with complex data structures, lacks native statistical integrations, and could improve data manipulation flexibility and customization options.
Ease of Deployment and Customer Service: Teradata supports multiple deployment environments but is noted for its complexity and higher costs. Its technical support is generally well-rated. Sisense provides a seamless deployment experience, praised for efficient setup. Its customer service is highly rated, noted for professionalism and quick response.
Pricing and ROI: Teradata is considered a premium solution with significant initial costs, but long-term returns justify the investment for large organizations. Sisense offers competitive pricing for mid-sized organizations, enhancing ROI through quick deployment and ease of use, attractive to businesses focused on rapid data-driven decisions.
The support was very good.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
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.
I would like to see an improvement in the live data connection, specifically making the process faster.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
There was no significant difference in pricing between Sisense and ThoughtSpot.
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.
It offers two ways to access data: by cubing the data or hitting it live.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
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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