We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The most valuable feature is compatibility with the Oracle database."
"The performance is very good and the aggregate records are fast."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"Allows us to take volumes and process them at a very high speed."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Speed and resiliency are probably the best parts of this product."
"It has improved my organization's functionality and performance."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"I have found the solution to be scalable."
"The knowledge base is quite small and should be expanded."
"When it is about to reach the maximum storage capacity, it becomes slow."
"Support is an area where it could get better."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"The geospatial functionality could be designed better."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"They could improve on customer service."
"I have found that coding support could be simplified."
"The price of Tibero is cheaper than that of Oracle."
"From a cost perspective, the software is less than most of its competitors."
"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
"The price could be cheaper and it is best to negotiate the price."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"The pricing could improve, it is a little expensive."
Earn 20 points
Tibero by TmaxSoft bridges the gap between legacy relational databases and the new paradigm of running workloads in virtualized data centers and the Cloud, allowing enterprises to fully leverage their investment by embracing a simple, true utilization licensing model.
Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.
To learn more about Micro Focus Vertica Advanced Analytics, visit our website.
Tibero is ranked 22nd in Relational Databases with 1 review while Vertica is ranked 3rd in Data Warehouse with 9 reviews. Tibero is rated 0.0, while Vertica is rated 9.4. The top reviewer of Tibero writes "A stable and cost-effective tool that is fully compatible with Oracle". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Tibero is most compared with Oracle Database, Oracle Database In-Memory, Oracle Multitenant, SQL Server and MySQL, whereas Vertica is most compared with Snowflake, Amazon Redshift, Teradata, SQL Server and Oracle Exadata.
We monitor all Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.