We performed a comparison between Vertica and VMware Tanzu Greenplum 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.
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"It has improved my organization's functionality and performance."
"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."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"Allows us to take volumes and process them at a very high speed."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"A very good, open-source platform."
"It's super easy to deploy and it also supports different languages and analytics."
"We faced some challenges when trying to use the temporary tables feature."
"The integration of this solution with ODI could be improved."
"They could improve on customer service."
"Support is an area where it could get 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."
"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."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"They could improve the integration and some of the features in the cloud version."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"Extra filters would be helpful."
Vertica is a deploy-anywhere SQL database created for elasticity, speed, and advanced analytics. Vertica enables today’s busy teams to modernize their data warehouses, democratize data and analytics to enable increased access, and deploy analytics in a hybrid cloud environment. Additionally, Vertica merges how companies power their analytics by providing a scalable, open, and elastic database with numerous intuitive features.
In today’s marketplace, organizations are experiencing continued robust growth of data volumes, and citizen data scientists’ broader use of analytics is causing many companies to re-visit and re-examine their systems in order to match the demands of an aggressive marketplace. Analytics are continually swiftly evolving. New data from social media, blogs, IoT sources, data streams, gas and electrical grids, and mobile networks is being constantly gathered in extensive data sets. This presents organizations with a new opportunity to become more data driven, and they must be able to manage the new data growth and identify the trends and sequences that can lead to both improved business opportunities and continued repeat business from their clients.
Vertica has many valuable key benefits. Some of its most useful benefits include:
Reviews from Real Users
“I am using Vertica for aggregations and dashboards. The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.” - Bijal S., Group Chief Technology Officer at Netcore Solutions
“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.” - Munkhsaikhan B., Project Lead - Digital Transformation Unit at Bodi Electronics LLC
Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.
Vertica is ranked 4th in Data Warehouse with 14 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 2 reviews. Vertica is rated 8.6, while VMware Tanzu Greenplum is rated 9.0. The top reviewer of Vertica writes "Enhanced capabilities, good customer service, large data scalability and stable". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Offers very good performance, particularly useful for public institutions with a minimal budget". Vertica is most compared with Snowflake, Teradata, Amazon Redshift, SQL Server and Cloudera Distribution for Hadoop, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Snowflake, Apache Hadoop, Oracle Database Appliance and IBM Netezza Performance Server. See our VMware Tanzu Greenplum vs. Vertica report.
See our list of best Data Warehouse vendors.
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