OpenText Analytics Database (Vertica) and Oracle Autonomous Data Warehouse compete in the data warehousing and analytics category. Oracle appears to have the upper hand due to its autonomous, self-managing features and strong integration capabilities.
Features: OpenText Analytics Database (Vertica) offers quick data loading, scalability, and real-time analytics through its unique architecture. It supports OLAP functionalities and advanced projections for optimized query performance. Oracle Autonomous Data Warehouse offers autonomous features like automated indexing and scaling, enhanced data security, and seamless integration with Oracle's cloud ecosystem, providing ease of use.
Room for Improvement: Vertica users face challenges with transactional operations, complex queries, and desire better workload management and documentation. It also needs improved automation and integration with diverse databases. Oracle Autonomous Data Warehouse users point out issues with VPN setup, lack of R language support, and handling semi-structured data. Its deployment complexity and pricing are considered high, with a need for better migration tools.
Ease of Deployment and Customer Service: Vertica offers flexible deployment options, including on-premises and hybrid cloud, but users report mixed experiences with customer support. Oracle focuses on public cloud deployment, offering simplicity and strong performance, though its customer service receives mixed reviews regarding response times and technical expertise.
Pricing and ROI: Vertica has a straightforward data-sized-based licensing model, appreciated for its competitive pricing relative to traditional solutions. Oracle adopts a pay-as-you-go model, which may be cost-effective for variable workloads, albeit on the higher end of cloud offerings. Both exhibit positive ROI, especially in scenarios emphasizing data insights and real-time capabilities.
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 Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.
Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.
We monitor all Cloud 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.
