

Teradata and StreamSets compete in the data management and integration space. Teradata has the upper hand with its high performance and scalability for enterprise data warehousing.
Features: Teradata is known for its MPP architecture, scalability, and parallel processing capabilities, making it efficient in handling large data volumes. It also offers advanced analytics and robust security features suitable for enterprises. StreamSets is popular for its user-friendly ETL processes, flexibility with diverse data types, and a wide range of connectors, which facilitates various data integration tasks.
Room for Improvement: Teradata users experience challenges with high costs and find improvements needed in cloud integration and handling unstructured data. StreamSets users suggest enhancing its GUI, error logging, and offering clearer documentation. There are concerns about memory management and a call for better processing speed and security for enterprise standards.
Ease of Deployment and Customer Service: Teradata supports on-premises, private, and hybrid cloud models but is perceived as complex to deploy compared to StreamSets. StreamSets offers quick cloud or hybrid deployments, benefiting rapid project execution. Teradata scores high for technical expertise in support, though quicker response times are desired, while StreamSets is valued for support quality but could improve accessibility and responsiveness.
Pricing and ROI: Teradata is recognized for offering high performance at a premium price, delivering strong ROI for large enterprises with its robust features. StreamSets provides flexible pricing, including open-source options, making it appealing for smaller businesses or those with limited budgets. Despite strong ROI from both, complex pricing and scalability issues may impact choices based on organizational size and spending limits.
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%.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
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.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
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 allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
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% |
| StreamSets | 1.2% |
| Other | 97.9% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.
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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