

Teradata and Sisense compete in the data management and business intelligence sectors. Teradata takes the lead in handling large-scale data with efficient query execution, while Sisense excels in ease of use and visualization capabilities.
Features: Teradata is notable for its shared-nothing architecture which enhances fast query execution and performance. It offers automated stats collection, and its MPP architecture supports complex analytical tasks while providing flexible deployment options across cloud and on-premises environments. Sisense is recognized for its ease of use and efficient data integration, strong visualization capabilities, and an API-first design which facilitates easy embedding and real-time dashboard creation.
Room for Improvement: Teradata could improve its cloud capabilities, reduce costs, and better its support documentation. Users have noted issues with handling unstructured data. Sisense needs more connectors and greater flexibility in handling complex data interactions, along with enhancements in supporting larger datasets and improving integration with statistical tools.
Ease of Deployment and Customer Service: Teradata is suitable for complex operations with availability on-premises and in various cloud models, though its setup can be intricate. Customer service is generally rated high. Sisense offers easier deployment across hybrid and cloud environments, appealing to smaller businesses with its plug-and-play nature. Its customer service is good but users desire more comprehensive support similar to Teradata.
Pricing and ROI: Teradata is considered expensive but offers a significant ROI through operational efficiencies, justified by its robust performance for large enterprises. Sisense is also seen as costly compared to other BI tools like Tableau and Power BI, but it justifies its price through feature integration for rapid deployment. While both solutions are designed for enterprise applications, Teradata’s higher costs align with its extensive capabilities, whereas Sisense offers more flexible pricing models for medium-sized organizations.
Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.
I have seen a return on investment in that we can manage the Sisense environment with a very small number of users.
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%.
The support was very good.
We typically get responses within 24 hours.
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.
It is scalable to a very large extent and we can integrate any third-party tools.
Sisense works really well for simple to medium use cases and scales well.
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.
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 would like to see an improvement in the live data connection, specifically making the process faster.
It could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle.
I give Sisense a nine because the integration with some third-party tools is good.
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.
There was no significant difference in pricing between Sisense and ThoughtSpot.
My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.
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.
It offers two ways to access data: by cubing the data or hitting it live.
It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data.
Sisense has positively impacted my organization by drastically reducing the time taken to build the data cube, and we can see real-time analytics.
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.
| Product | Market Share (%) |
|---|---|
| Teradata | 0.9% |
| Sisense | 1.2% |
| Other | 97.9% |


| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
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 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.
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