Executive SummaryUpdated on Jun 19, 2025
OpenText Analytics Database (Vertica) and Databricks compete in the analytics and data processing category. Vertica has the upper hand in terms of cost efficiency and customer service, while Databricks excels in integration and cloud deployment, providing scalability and advanced processing capabilities.
Features: Vertica is known for its rapid data loading capabilities, cost efficiency per TB, and strong scalability. It supports massive data aggregation, has a share-nothing clustering architecture, and provides exceptional query performance. Databricks stands out with its swift data processing, integration with various programming languages, and support for collaborative toolsets, facilitating machine learning workflows.
Room for Improvement: Vertica needs enhancements in transaction handling, workload management, and resource optimization configurations. Users request better documentation and tooling support for managing complex queries. Databricks could benefit from reduced costs and improved advanced analytics and machine learning libraries. Users also suggest expanding integration options and refining user interface elements.
Ease of Deployment and Customer Service: Vertica is tailored for on-premises and hybrid environments, providing highly rated customer service due to knowledgeable support engineers. Databricks offers seamless integration in public and hybrid cloud environments, but its support service is sometimes seen as less responsive than Vertica's, leading users to seek better deployment options.
Pricing and ROI: Vertica's cost model focuses on data size, offering perpetual licensing without ongoing fees, making it attractive for stable storage needs. Databricks follows a pay-per-use model, typically more expensive, but provides significant value for large-scale cloud analytics projects. Both platforms are deemed worth the investment due to their strong ROI in analytics enhancements.
