

SAP IQ and Teradata are leading contenders in the data management sphere. SAP IQ excels in speed and data compression due to its columnar architecture, while Teradata holds an advantage in handling complex queries and large-scale data operations with its parallel processing capabilities.
Features: SAP IQ is renowned for its columnar architecture, exceptional speed, and impressive data compression. It is ideal for environments with SAP solutions, offering efficient ad-hoc query handling. Teradata is celebrated for its massive parallel processing prowess, enabling swift handling of extensive data warehouse operations. It excels in scalability and high concurrency, making it perfect for real-time analytics.
Room for Improvement: SAP IQ struggles with marketing visibility and requires better integration with Hadoop. Users also seek more resources and expertise. Teradata faces criticism over its high cost and outdated interface, with demands for enhanced scalability in cloud offerings and improved unstructured data processing.
Ease of Deployment and Customer Service: SAP IQ predominantly runs on-premises, limiting its flexibility. Teradata offers hybrid and public cloud deployment options, providing scalability and flexibility. SAP IQ faces challenges in customer support due to a lack of experts, whereas Teradata is praised for its robust global support, although it demands a high level of technical expertise for operation.
Pricing and ROI: SAP IQ is viewed as cost-effective, offering competitive pricing for companies already within the SAP ecosystem. Teradata, albeit a high-end solution, has a premium price reflective of its capabilities. Despite attempts at flexible pricing models, it remains a significant investment justified by its high performance and ability to handle data-intensive tasks efficiently.
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 | Mindshare (%) |
|---|---|
| Teradata | 8.8% |
| SAP IQ | 3.1% |
| 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, with its columnar architecture, provides high-performance data solutions. It excels at data warehousing and business intelligence, managing vast data efficiently, and supports fast query execution along with easy maintenance.
SAP IQ offers a powerful platform for scalable data warehousing, handling petabyte-scale workloads with ease. Its columnar architecture ensures high performance, leveraging compression to optimize storage and speed up queries. Designed for concurrent access, it enables rapid data loading, crucial for insights in business intelligence and analytics. While acknowledged for its data handling prowess, areas such as backup solutions, metadata consistency, and integration with Hadoop require enhancements. Users also anticipate improvements in stability, error messaging, and documentation to maximize SAP IQ's potential.
What are the key features of SAP IQ?SAP IQ is implemented across many industries for secondary storage in SAP systems and as a core component in data warehousing and business intelligence solutions. It supports large-scale reporting, data migration, and serves as a backbone for SAP BusinessObjects platforms, proving essential in environments like military collaborations and enterprise transactions.
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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