Teradata and OpenText Analytics Database (Vertica) are two strong players in the analytics database market. Teradata has the upper hand in processing large data volumes efficiently while Vertica excels in providing scalable analytical functions.
Features: Teradata offers ease of design, system tuning, and comprehensive analytical tools which enhance performance and scalability in handling large data volumes. Vertica is noted for data compression, projections, and extensibility, which significantly enhance its query performance and scalability.
Room for Improvement: Teradata needs to address its high costs and improve cloud compatibility by revising pricing models to stay competitive. Vertica could improve on documentation, workload management, and expand integration capabilities with various cloud platforms, especially under heavy query loads.
Ease of Deployment and Customer Service: Teradata supports a variety of deployments from on-premises to hybrid cloud environments and is generally praised for customer service though response times could improve. Vertica emphasizes public cloud deployment, providing satisfactory support but with room for improvement in technical expertise.
Pricing and ROI: Teradata is considered expensive but justified by its robust features, with recommendations to negotiate and assess cost-benefit ratios. Vertica is noted for a flexible licensing model based on data size, promoting cost-effectiveness and appealing to budget-conscious buyers with its competitive pricing.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
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 | 13.2% |
| OpenText Analytics Database (Vertica) | 6.9% |
| Other | 79.9% |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
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