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The efficiency has increased significantly, and our workflows are consolidated into a single platform, thus reducing the operational overhead we previously faced.
The objective was to scale as data loads with high-performing query model responses.
I have seen a return on investment in terms of time saved.
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 customer support is very proactive and responsive twenty-four hours per day, seven days per week.
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
We have our own account manager who keeps us informed of the latest solutions and improvements in the system.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Teradata's customer support was excellent.
As our data volumes grow, we can expand resources without significant performance degradation.
SingleStore's scalability is really nice, as the process model includes master aggregator and slave aggregators or child aggregators, making it very well scalable both vertically and horizontally.
I have added both storage and additional instances many times, and it worked perfectly.
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.
The scalability of Teradata is flawless.
It handles large workloads and maintains consistent performance very well overall.
The performance and usability of SingleStore as a main database engine are significantly superior to other both paid and open-source solutions.
I have not seen any downtime.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
Teradata is stable.
Error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
Better documentation for advanced use cases, especially where data volumes are very high and queries are frequent, would help us manage the feature more efficiently.
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.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
If the same thing were available in a web interface, that would be really helpful.
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
The setup cost was surprisingly good, and our transfer to Helios was almost seamless, as far as databases go, and it was not expensive.
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.
We spent roughly $295,000 on setup costs.
I found Teradata to be somewhat costlier when considering other options.
SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone.
A very nice and useful feature is its compatibility with MySQL API, letting any system that can connect to MySQL also connect to SingleStore, thus solving many interoperability issues with different systems.
SingleStore is a distributed database that has the advantage that at any moment when resources are insufficient, there is a possibility to add more nodes, and everything is added online.
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 (%) |
|---|---|
| SingleStore | 3.7% |
| Amazon RDS | 12.6% |
| MongoDB Atlas | 9.8% |
| Other | 73.9% |
| Product | Mindshare (%) |
|---|---|
| Teradata | 9.1% |
| Snowflake | 8.8% |
| Oracle Exadata | 7.4% |
| Other | 74.7% |


| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 53 |
SingleStore provides a flexible, usage-based pricing model for its Helios cloud service, offering tailored plans for diverse industries including finance and technology.
With a focus on high speed and scalability, SingleStore is engineered for cloud environments, supporting transactional and analytical workloads. Its distributed architecture enables rapid data processing, making it a choice for businesses that demand real-time insights. Active in over 50 countries, SingleStore counts major financial institutions and Fortune 500 companies among its 400+ clients, highlighting its global reach and industry versatility. Customers benefit from efficient data storage, integration with platforms like AWS, Azure Data Factory, Kafka, and enhanced performance in complex data-driven applications.
What key features set SingleStore apart?SingleStore is implemented across sectors such as banking, streaming, and eCommerce, optimizing performance in video platforms and financial systems. By supporting infrastructure migration and enabling real-time dashboards, it provides businesses with the agility to handle large volumes of data efficiently, making it ideal for modern data-driven industries.
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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