Mike WalkerDirector - Big Data, IoT and Analytics at Benchmark Corp
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The analytics have been very good. We've found them to be quite useful."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"Self-patching and runs machine-learning across its logs all the time"
"The solution integrates well with Power BI."
"The performance and scalability are awesome."
"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."
"I would like to see an on-premise solution in the future."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"Ease of connectivity could be improved."
"The initial setup was pretty complex. It was not easy."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"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."
"ROI is high."
"You pay as you go, and you don't pay for services that you don't use."
"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."
Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.
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.
Oracle Autonomous Data Warehouse is ranked 6th in Cloud Data Warehouse with 6 reviews while Vertica is ranked 5th in Cloud Data Warehouse with 8 reviews. Oracle Autonomous Data Warehouse is rated 8.4, while Vertica is rated 9.6. The top reviewer of Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Oracle Autonomous Data Warehouse is most compared with Snowflake, Microsoft Azure Synapse Analytics, Amazon Redshift, Oracle Exadata and IBM Db2 Warehouse, whereas Vertica is most compared with Snowflake, Amazon Redshift, Teradata, SQL Server and Oracle Exadata. See our Oracle Autonomous Data Warehouse vs. Vertica report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse 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.