Teradata and Oracle Database In-Memory compete in the field of large-scale data management. Teradata appears to have the upper hand with its advanced parallel processing and workload management capabilities, making it highly suitable for large data environments.
Features: Teradata's parallel processing capabilities and MPP architecture allow efficient handling of large datasets and provide scalability and consistent performance. It integrates advanced analytics and offers a range of workload management options. Oracle Database In-Memory is noted for its rapid performance in analytic queries and real-time analytics due to its columnar format, which enhances data warehouse performance when combined with Exadata.
Room for Improvement: Teradata faces challenges in pricing and scalability, with users desiring better support for unstructured data and improved cloud integration. Enhancements in cloud services and third-party tool integration are also sought after. Oracle Database In-Memory users call for better ease of use, query optimization, and cost reduction, along with increased AI support and flexible design options.
Ease of Deployment and Customer Service: Teradata offers adaptable deployment across on-premises, private, hybrid, and public clouds, yet Oracle Database In-Memory is preferred slightly for hybrid cloud environments. Teradata's customer service receives praise, especially for technical support, despite some reporting delays. Oracle's customer service is similarly well-regarded with dependable technical support.
Pricing and ROI: Teradata is recognized for high costs, although its data warehousing capabilities and performance are seen to justify the expense, resulting in a positive ROI. Oracle Database In-Memory is also regarded as costly, particularly for smaller enterprises, yet recent price adjustments have improved its competitiveness, especially as a cost-efficient solution for real-time analytics.
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%.
Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.
I rate the technical support of Oracle an eight or nine out of ten.
The customer support for Teradata has been great.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
This expansion can occur without incurring downtime or taking systems offline.
Teradata's scalability is great; it's been awesome.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
It was very difficult to move data from on-site to cloud in one attempt at the start, because we didn't have sufficient bandwidth to copy the data files to the cloud.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
If Teradata could provide a list of certified experts, that would be fantastic.
Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.
The pricing for Oracle Database In-Memory is more affordable.
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.
We spent roughly $295,000 on setup costs.
The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and 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.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
| Product | Market Share (%) |
|---|---|
| Teradata | 4.5% |
| Oracle Database In-Memory | 1.8% |
| Other | 93.7% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.
Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.
The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.
For more information on Oracle Database In-Memory, visit Oracle.com
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?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 Relational Databases 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.
