

Teradata and ThoughtSpot compete in the data warehousing and business analytics category. Teradata appears to have the upper hand in scalability and handling extensive data tasks, while ThoughtSpot stands out for ease of use and its intuitive AI-driven analytics.
Features: Teradata is highly regarded for its data warehousing capabilities, scalability, and parallel processing, enabling efficient handling of large data volumes. Its innovative design and integration capabilities provide stability and speed. ThoughtSpot is praised for its ease of use, smart data discovery, and AI-driven analytics, allowing for intuitive data exploration and quick insights without requiring technical expertise.
Room for Improvement: Teradata could improve cloud adoption and pricing, address scalability and integration capabilities, and enhance technical support response times. ThoughtSpot needs better visualization customization, improved stability, and data connectivity. Users also note a need for dashboard flexibility and integration features.
Ease of Deployment and Customer Service: Teradata offers diverse deployment options across various cloud environments, although improvements could be made in cloud deployment ease. Customer service is generally well-rated, though Teradata's support is mixed in response times. ThoughtSpot's deployment is perceived as less complex, with its support noted for quick responses and community resource utilization.
Pricing and ROI: Teradata's pricing is considered high but justifiable for larger firms, delivering significant ROI through performance improvements. Despite flexible pricing models, cost considerations lead some users to explore alternatives. ThoughtSpot offers competitive pricing, especially for smaller businesses, and provides returns by simplifying operations and enhancing decision-making, though pricing affects adoption decisions.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
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.
Based on our implementation in one project, we are trying to raise more funding to expand its use.
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
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 customer support for ThoughtSpot is very proactive and supportive, available 24/7.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
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.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
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.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
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.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
The pricing, setup cost, and licensing for ThoughtSpot are competitive.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
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.
| Product | Mindshare (%) |
|---|---|
| Teradata | 1.2% |
| ThoughtSpot | 1.7% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 53 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.
Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.
What are the key features of Teradata?
What benefits and ROI do users look for?
In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.
ThoughtSpot offers analytics through a user-friendly interface, empowering non-technical users to explore data swiftly with AI-driven insights and search-based analytics, making data access and modeling efficient.
ThoughtSpot is designed for intuitive data exploration, enabling users to generate custom analytics and reports without deep technical expertise. Its strength lies in natural language processing, scalability, and seamless data connectivity. Customizable dashboards and interactive visualizations help organizations in effective decision-making. The emphasis on self-service analytics supports real-time data queries and enhanced data modeling. While popular for its quick insights, users note a steep learning curve and complex UI, seeking more customization options, better connectivity, and visualization features. Price and usability challenges, along with desires for improved dashboard stability and integration, are noted for large enterprise deployments.
What are ThoughtSpot's key features?Industries leverage ThoughtSpot for self-service analytics, driving marketing, sales, and business intelligence operations. Companies benefit from its real-time data connectivity with modern data cloud platforms, enhancing internal operations through scalable data analysis. Non-technical users are empowered to perform ad-hoc analysis, data exploration, and visualize KPIs, optimizing strategic workflows across sectors.
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