

VMware Tanzu Data Solutions and OpenText Analytics Database (Vertica) both excel in the data management and analytics category, each providing distinct advantages. VMware Tanzu edges out with its MPP architecture, particularly benefiting modern data science and SQL tasks, while Vertica is excellent for complex queries and data-heavy analytics, due to its columnar storage and strong compression techniques.
Features: VMware Tanzu Data Solutions is renowned for its massively parallel processing architecture, which allows efficient data distribution and fast SQL processing. It provides stability and scalability ideal for complex message routing and asynchronous processing. OpenText Analytics Database (Vertica) offers outstanding performance for complex queries, leveraging columnar storage and strong data compression. It executes extensive analytical queries quickly, making it highly beneficial for data-centered analytical tasks.
Room for Improvement: VMware Tanzu Data Solutions could improve in memory optimization and integrating more seamlessly into cloud-native environments. Enhancing documentation, simplifying installation, and optimizing resource allocation are also key areas. OpenText Analytics Database (Vertica) needs to advance its cloud-native capabilities, including improved clustering management and a more intuitive administration UI. Enhancements in auto-scaling, real-time monitoring, and expanding its ecosystem could boost its adaptability.
Ease of Deployment and Customer Service: VMware Tanzu Data Solutions is lauded for its flexibility in deployment, particularly in hybrid cloud settings, alongside a robust support structure. Technical support issues are typically resolved swiftly, although community support could be broader. OpenText Analytics Database (Vertica) provides competent customer support but is noted to have a less intuitive deployment process and a smaller support community, though it supports both public and hybrid cloud environments.
Pricing and ROI: VMware Tanzu Data Solutions generally offers a competitive price, especially in its open-source form, with notable ROI due to enhanced performance and reduced downtime. OpenText Analytics Database (Vertica), while more costly with its licensing model, justifies the price with advanced features and capabilities, offering significant ROI through its efficient data processing and storage, particularly for complex analytical workloads.
I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.
The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.
Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.
OpenText Analytics Database (Vertica) has very good scalability.
OpenText Analytics Database (Vertica) can scale to a great extent.
Most of our functions or jobs are queued due to that.
OpenText Analytics Database (Vertica) is very stable.
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.
Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.
Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.
OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.
They are losing business.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.
Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.
The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.
The principal aspect is the creation of Kubernetes clusters.
VMware Tanzu Data Solutions has no limitation. We can meet the maximum customer requirements.
The product is not complex; I do not have to create stored procedures, functions, or views.
| Product | Mindshare (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 5.7% |
| VMware Tanzu Data Solutions | 4.8% |
| Other | 89.5% |

| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 43 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 11 |
| 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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