We performed a comparison between Infobright DB and Vertica based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"It has improved my organization's functionality and performance."
"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."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"The product's initial setup phase is extremely simple."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"I enjoy the cybersecurity and backup features."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"Suboptimal projection design causes queries to not scale linearly."
"The integration of this solution with ODI could be improved."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"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."
"The biggest problem is the cost of cloud deployment."
"It should provide a GUI interface for data management and tuning."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
Earn 20 points
Infobright DB is ranked 27th in Data Warehouse while Vertica is ranked 4th in Data Warehouse with 83 reviews. Infobright DB is rated 7.6, while Vertica is rated 8.2. The top reviewer of Infobright DB writes "If you need a real big data solution, look for a distributed solution that actually has a proven track record". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Infobright DB is most compared with MySQL and LocalDB, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata.
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