Teradata and ThoughtSpot compete in the data analytics and management category. Teradata has the upper hand in handling complex queries and big data environments due to its massive parallel processing capabilities, while ThoughtSpot shines in making analytics accessible to non-technical users with its intuitive search-based approach.
Features: Teradata offers massive parallel processing, scalability, and an architecture that supports complex queries efficiently. It is optimized for big data environments with reliable and high-performance analytics. ThoughtSpot provides search-based analytics, enabling non-technical users to query data easily, and quickly generate insights, which supports rapid data exploration and decision-making.
Room for Improvement: Teradata users seek better cloud integration, cost reduction, and improvements in managing unstructured data. Enhancements in UI and OLAP functionality are desired. ThoughtSpot could improve in visualization, direct database connectivity, and customization features, with users wanting more dashboard flexibility and enhanced querying capabilities.
Ease of Deployment and Customer Service: Teradata offers diverse deployment options, including on-premises, private, and hybrid cloud, catering to various business needs, with a reputation for reliable customer support. ThoughtSpot focuses on cloud-based deployment, providing flexibility and adaptability to customer-specific needs, though some users seek faster response times and deeper technical expertise.
Pricing and ROI: Teradata is considered a premium solution with high costs, acknowledged for its value in performance and advanced analytics yielding strong ROI. ThoughtSpot's pricing is competitive and flexible, with benefits from a data input-based model favoring cost management, offering quick insights and aligning well for companies prioritizing ease of use and speed in analytics.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
ThoughtSpot saves a significant amount of time compared to other tools and is very user-friendly.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
I stopped opening tickets due to insufficient and untimely responses.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
The knowledge base for ThoughtSpot is less robust compared to others.
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.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
The platform does not have technical problems with scaling data or connections.
As our data has grown, I have validated huge datasets and complex models without significant issues.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
I use it primarily for large datasets, and it performs faster than regular data visualization tools such as Power BI, which has limits on dataset size.
The upgrades are smooth with no downtime, which is super important.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Currently, it is not as customizable as the options available on Power BI or Tableau.
Handling governance when there are many models and dashboards is complex.
Enhancing integration capabilities with other tools like DBT would also be beneficial as it would make our lives easier.
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.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
When I upload a data dump, AI analytics suggest possible data visualizations and insights, which I can pin to dashboards or live boards for modification.
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.
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.
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