Executive SummaryUpdated on Jun 19, 2025
OpenText Analytics Database (Vertica) and BigQuery are prominent competitors in the analytics and data storage market. Vertica seems to have the upper hand with its advanced analytics features and strong query performance, while BigQuery stands out with its flexibility and scalable serverless architecture.
Features: Vertica offers a powerful merge function for data processing, projection-based storage for optimized queries, and robust scalability for large-scale data analysis. BigQuery provides flexible cloud storage, rapid data retrieval, and a serverless architecture ideal for high-performance tasks.
Room for Improvement: Vertica users point to a need for more comprehensive documentation, better tools, and native integrations. BigQuery could improve in managing special character handling during data migration, enhance query caching, and provide better cost management features for global accessibility.
Ease of Deployment and Customer Service: Vertica supports on-premises and hybrid deployments, offering adaptability to enterprise needs, though customer support varies. BigQuery benefits from Google's robust infrastructure for a public cloud presence, but sometimes lacks personalized support, leading users to rely on self-learning and community resources.
Pricing and ROI: Vertica's perpetual license model is deemed cost-effective with efficient data strategies, offering good value despite initial costs. BigQuery’s pay-as-you-go pricing is praised for affordability in large-scale data processing, yet requires careful management to avoid high costs.
