

SAP IQ and Teradata are both prominent contenders in the data management sector. SAP IQ's columnar architecture offers high compression and fast query execution, advantageous for BI/Analytics, whereas Teradata's strength lies in scalability and parallel processing, for handling large datasets efficiently.
Features: SAP IQ's columnar storage ensures high compression and speedy queries, making it space-efficient and easy to use for analytical workloads. It supports scalability with a straightforward learning curve. Teradata's features include its massively parallel processing architecture for consistent performance, a shared-nothing setup for handling large data volumes, and comprehensive query execution capabilities.
Room for Improvement: SAP IQ could enhance error messaging, backup, and marketplace visibility. Its integration and support require attention, with a noted shortage of skilled professionals. Teradata faces challenges with high costs and handling unstructured data. It needs advanced cloud features, with licensing and initial setup perceived as complex.
Ease of Deployment and Customer Service: SAP IQ is primarily on-premises, limiting in a cloud-centric market and criticized for slow, less expert support. Teradata offers versatile deployment options across on-premises and cloud environments. It generally provides better customer service, though improvements are noted as possible.
Pricing and ROI: SAP IQ is competitively priced with savings in hardware and implementation but could simplify license classification. Teradata, although more expensive, justifies its cost through performance and features. Its cloud capabilities are evolving to address pricing concerns.
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%.
It seems very difficult to get proper advanced assistance on advanced or complicated problems.
The quality of support from SAP is very good; if it's a known problem, they will have a knowledge base, so we will get immediate assistance.
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.
SAP IQ is actually quite effective when it comes to scalability.
We can span the read and write load into multiple nodes, and that scalability is there.
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.
It's usually something external, such as lack of disk space or problems arising from the integration to other systems.
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.
When there is an issue, the error messaging we get is not always sufficient to do a fast and solid fix.
It is easy to deploy SAP IQ; the implementation and installation are easy.
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.
The feature I appreciate the most about SAP IQ is the compression, which is very good; we cannot compare with any other type of EDW.
The most valuable feature of SAP IQ for us is that it works very effectively with the SAP BusinessObjects which we use it with.
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 | 9.5% |
| SAP IQ | 2.4% |
| Other | 88.1% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
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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