

Teradata and Sisense compete in the data analytics space. Teradata is perceived as having an advantage for high-volume complex data handling due to its robust data warehousing capabilities, whereas Sisense is preferred for its ease of use and dashboarding capabilities.
Features: Teradata offers high-performance parallel processing, scalability, and comprehensive data warehousing capabilities. It excels in workload management and provides secure data handling, suited for large organizations needing robust data solutions. Sisense stands out for its ease of integrating various data sources, rapid processing speed, and intuitive user-friendly dashboards, ideal for medium-sized businesses seeking flexibility and fast analytics.
Room for Improvement: Teradata faces criticism around its cost structure and needs improvement in cloud adoption and handling unstructured data. More flexible pricing and enhanced AI features are suggested. Sisense could improve with expanded data source connections and better filtering and labeling options. Users desire more widget customization flexibility and advanced analytics integration support.
Ease of Deployment and Customer Service: Teradata is primarily deployed on-premises, evolving towards cloud adoption, and provides satisfactory but variable support. Teradata University resources are valuable for self-training. Sisense is praised for quick, hybrid cloud deployments with responsive customer service, though managing extensive data operations can present challenges.
Pricing and ROI: Teradata is seen as a premium solution for larger enterprises, offering high reliability and processing speed, with ROI through increased data handling capacity. Sisense appeals to smaller businesses with competitive pricing and flexible models, optimizing ROI via reduced deployment time and lower manpower needs for business analytics tasks.
It makes it very easy for us to make data-driven decisions and we are able to forecast our future predicament or future plans, hence increasing or boosting productivity in my organization.
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.
Sisense customer support is proactive and responsive.
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's scalability is impressive as it can crunch a lot more data and has consistently better performance.
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.
My experience with pricing, setup cost, and licensing is that it is cost-effective, but for smaller organizations working under a tight budget, this tool might be a bit expensive for them.
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 | Mindshare (%) |
|---|---|
| Teradata | 1.3% |
| Sisense | 1.6% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 53 |
Sisense enables data visualization and analytics with ease of use and fast setup, effectively integrating different data sources for efficient decision-making.
Sisense provides an intuitive platform for companies to handle data visualization and advanced analytics without requiring extensive technical knowledge. Quick deployment, custom dashboard creation, and seamless embedding are supported by an API-first approach. It allows integration of data from multiple databases, enhancing speed through in-chip methodology and real-time updates. Users benefit from its ElastiCube Manager and reduced deployment time, contributing to data-driven decisions. Comprehensive documentation supports users in navigating potential challenges.
What are the key features of Sisense?Sisense is commonly used across industries such as product development, sales, and marketing to deliver tailored analytics and dashboards for diverse departmental needs. Organizations leverage Sisense's capabilities for embedding analytics, optimizing financial models, and improving sales strategies. Its intuitive interface allows non-technical teams to efficiently handle and derive insights from large datasets.
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.
We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.