


Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
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.
The investment is good, which is why people choose this hardware.
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 I were to rate their support from one to ten, I would say between nine to ten.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
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.
Within a site, scalability is excellent.
Most of our functions or jobs are queued due to that.
OpenText Analytics Database (Vertica) is very stable.
Once installed, Exadata 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.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
I believe that there is still room for improvement in Oracle Exadata, as they are putting AI features on those databases, which is making the database more user-friendly.
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.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
I find its pricing reasonable and cost-effective for large organizations, but for smaller organizations, it may not be that useful.
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.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
If a customer cannot tune their applications, this will help them to run the database and run the application without any tuning itself.
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 (%) |
|---|---|
| Oracle Exadata | 7.6% |
| OpenText Analytics Database (Vertica) | 5.7% |
| VMware Tanzu Data Solutions | 4.8% |
| Other | 81.9% |


| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 43 |
| Company Size | Count |
|---|---|
| Small Business | 47 |
| Midsize Enterprise | 14 |
| Large Enterprise | 86 |
| 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.
Oracle Exadata is a robust platform engineered to enhance performance and scalability for OLTP and data warehousing by integrating hardware and software, allowing efficient handling of large data volumes with high availability.
Oracle Exadata offers significant performance improvements through features like Smart Flash Cache, Smart Scan, and Hybrid Columnar Compression. It supports large transactions and consolidates databases, making it ideal for complex data tasks. While pricing is a concern, and some areas such as maintenance and documentation require attention, its strength in scalability and performance makes it suitable for sectors demanding database reliability, such as finance and telecommunications.
What are the key features of Oracle Exadata?Oracle Exadata is implemented in industries requiring robust data management solutions. In finance and telecommunications, it enhances database stability and security, supports high-speed transaction processing, and facilitates data analytics within cloud-integrated environments, proving essential for large-scale operations.
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.