OpenText Analytics Database (Vertica) and Oracle Database Appliance compete in the database management systems category. Vertica holds an advantage in speed and complex analytics, while Oracle provides an all-in-one solution with high availability and integrated virtualization features.
Features: Vertica is known for its rapid data returns and supports parallel processing, high availability, and advanced analytical functions. Its Management Console and Database Designer enhance storage optimization. Oracle Database Appliance offers an all-in-one solution, easy deployment, high availability, and integrated virtualization.
Room for Improvement: Vertica can improve its handling of high concurrency short queries, documentation, and workload management. Users suggest enhancements in developer tools, machine learning support, and installation. Meanwhile, Oracle Database Appliance needs addressing scalability limits and high costs, with requests for better third-party tool integration.
Ease of Deployment and Customer Service: Vertica offers versatile deployment across private, hybrid, and public clouds, with mostly positive customer support experiences despite occasional delays. Oracle Database Appliance is primarily on-premises, lauded for its ease of setup with some noting a need for customer service improvements.
Pricing and ROI: Vertica's pricing is viewed as fair, based on data size licensure and offers a community edition, seen as a valuable, albeit costly, investment for its performance. Oracle Database Appliance is perceived as expensive with high support fees, yet its comprehensive capabilities are seen as justifying the cost.
All enterprise-grade analytics tools allow rapid scaling, making our business more competitive.
There is room for improvement in better integration with third-party tools, such as Power BI or Redshift.
Oracle is on the higher end of the pricing spectrum, along with SAP.
The most valuable feature is the ease of dashboarding and ease of reporting.
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.
Oracle Database Appliance is the easiest and most affordable way for small or medium-size organizations to run Oracle databases and applications and is an ideal platform for remote and edge computing environments. Customers reduce Oracle Database deployment times and management workloads using a prebuilt integrated system with management automation. As demonstrated in IDC’s business value study (PDF), Oracle Database Appliance lets customers grow revenue and control costs, delivering up to a 498% return on investment (ROI) over five years.
We monitor all Data Warehouse 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.
