Teradata and Amazon Aurora are prominent players in the database management market, focusing on data warehousing and cloud-based services. Teradata holds a competitive edge in high-performance analytics for large-scale environments, while Aurora excels in seamless AWS integration and scalability.
Features: Teradata offers advanced parallel processing, linear scalability, and extensive data analytics, supporting complex queries and large-scale data warehousing. It excels in handling massive datasets with efficiency. Amazon Aurora provides seamless AWS integration, ease of management, high availability, and automated backups, appealing to those looking for simplicity with enterprise-grade performance. It thrives in cloud-native deployments, offering automatic scaling and cross-region replication.
Room for Improvement: Users suggest Teradata should enhance its cloud offerings, cost flexibility, and user interface to improve compatibility with big data platforms and support for unstructured data. Aurora could benefit from more competitive pricing and improved developer tools, as well as expanded support for diverse database engines.
Ease of Deployment and Customer Service: Teradata supports various deployment options, including on-premises and hybrid solutions, with strong technical support and training, though its on-prem offerings can be complex. Aurora focuses on simplicity in public and private cloud deployments, benefiting from AWS's integrated ecosystem and efficient customer service.
Pricing and ROI: Teradata is seen as expensive, justified by its advanced features for large enterprises, providing a solid return on investment through robust analytics. Aurora offers a more cost-efficient, pay-as-you-go model without licensing fees, attracting businesses seeking affordability with high availability and performance.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
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%.
Technical support from Amazon is rated very highly.
The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.
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.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
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 offers a stable environment, ensuring consistent performance.
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.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
I used the backup options in Amazon Aurora for cloning databases. It's very common.
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.
The pricing is reasonable and not overly expensive.
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.
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.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
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 | 4.2% |
| Amazon Aurora | 2.8% |
| Other | 93.0% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
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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