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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.
We normally receive substantial discounts on the price.
The reason for limitations in customer service is that the technical skills available in the market for IBM Db2 Database are limited compared to those of Oracle.
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.
It can be scaled vertically or horizontally so that data insertions and data access are much faster and more secure compared to how Oracle or other databases work.
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.
OpenText Analytics Database (Vertica) is very stable.
Understanding the basic structure of the database, how logs or log shipping happens, how clustering works, how logs are written, where all information is stored, and how it needs to be taken care of are all critical pieces of information.
It might be slightly slower than other database vendors, but it works well since banks typically do not move quickly with leading-edge technology.
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.
The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.
All compliance-related aspects have been taken care of from the database point of view, including database encryption and security-related features.
IBM Db2 Database, because of enterprise performance and support, is why banks still maintain their relationship with it.
The IBM Db2 Database is trusted, and IT effort is less than any other product.
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.
| Product | Mindshare (%) |
|---|---|
| IBM Db2 Database | 6.3% |
| Oracle Database | 10.9% |
| SQL Server | 10.7% |
| Other | 72.1% |
| Product | Mindshare (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 5.7% |
| Snowflake | 9.3% |
| Teradata | 8.8% |
| Other | 76.2% |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 13 |
| Large Enterprise | 48 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 43 |
IBM Db2 Database provides a robust SQL dialect, multi-platform support, self-tuning memory, and strong security. Its capabilities in handling structured and unstructured data while offering high uptime make it reliable for diverse applications.
IBM Db2 Database is known for its robust performance, seamless integration, and effective data replication. It supports diverse environments and applications, leveraging its advanced features like automatic storage, data compression, and efficient resource management. Despite its strengths, complexities in learning, costly licensing, and a need for better interfaces and advanced analytics support are noted. It requires improvements in AI features, management simplification, and cloud compatibility to effectively address the dynamic needs of businesses.
What are the important features of IBM Db2 Database?Organizations leverage IBM Db2 Database in financial and banking applications, including core banking systems, card management, and transaction management. It also serves as a data warehouse supporting ERP systems, e-commerce projects, and data integration. Its robustness is utilized in mainframe environments across sectors like entertainment, retail, and public cloud deployments.
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.
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