We performed a comparison between Oracle Exadata and Vertica based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It offers a significant advantage for accommodating a large number of users."
"It has improved the performance, now we run with more performance cores with less CPU to attend all the database demands. Reducing Time to Market, increase our ability to face the competition with speed and low cost."
"The most valuable feature is the time to solution."
"This product can noticeably enhance performance of contextual Oracle databases."
"What I like best about Oracle Exadata is its good performance. It's also a very fast solution."
"Parallelism is the most valuable feature."
"Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it."
"The tool's performance is good."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"I have found the solution to be scalable."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"The product's initial setup phase is extremely simple."
"Allows us to take volumes and process them at a very high speed."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"Speed and resiliency are probably the best parts of this product."
"I would like to see more database features and maybe more archiving features, because we need to do data archiving."
"The initial setup process is very difficult and extremely complex."
"The customization can sometimes be difficult to achieve."
"There is room for improvement with the handling of the Temp IO, which is often used for JOIN statements."
"I believe Oracle must improve its procedure to support the clients. The customer Ready Service must provide more use cases and benchmarks of their infrastructure to support client design decisions. Oracle must audit their partners regularly to guarantee they provide quality service even after been passed on partnership examination."
"Checking the Smart Scan issues is complicated."
"The scalability can be improved as it is not a parallel execution."
"The solution lacks a visualized console."
"Support is an area where it could get better."
"Limitations in group by projections is where I would like to see an improvement."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Very bad support, I would rate it two out of 10."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"They could improve on customer service."
Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. Oracle Exadata is rated 8.4, while Vertica is rated 8.4. The top reviewer of Oracle Exadata writes "Offers a variety of valuable features". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Apache Hadoop, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and BigQuery. See our Oracle Exadata vs. Vertica report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all 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.