

VMware Tanzu Data Solutions and OpenText Analytics Database (Vertica) compete in the data processing category. VMware Tanzu holds an advantage in data integration and scalability, while Vertica outperforms in query performance and analytics thanks to its columnar storage model.
Features: VMware Tanzu offers massively parallel processing, support for various data integrations, and scalable architecture. OpenText Vertica is notable for its fast query performance, analytics capabilities, and columnar storage model that enhances performance.
Room for Improvement: VMware Tanzu could improve stability, query performance under batch loads, and integration with newer data technologies. Vertica's documentation could be enhanced, along with support for heterogeneous storage and SQL optimization. Both systems would benefit from more intuitive tools and better resource management.
Ease of Deployment and Customer Service: VMware Tanzu offers flexibility for both on-premises and cloud environments with technical support that some users find average. Vertica provides a versatile deployment without the need for expensive infrastructure, though its installation process can be complex. Both receive favorable customer service feedback, with VMware Tanzu noted for more consistent support.
Pricing and ROI: VMware Tanzu offers cost-effective open-source solutions with paid support options, delivering good value. Vertica's pricing is based on database size with flexible plans but seen as costly compared to open-source. Both products have competitive pricing models with VMware Tanzu emphasizing cost reductions over time in open-source spaces.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
Most of our functions or jobs are queued due to that.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
The principal aspect is the creation of Kubernetes clusters.
The product is not complex; I do not have to create stored procedures, functions, or views.
| Product | Market Share (%) |
|---|---|
| VMware Tanzu Data Solutions | 4.0% |
| OpenText Analytics Database (Vertica) | 5.8% |
| Other | 90.2% |


| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| 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.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
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