"The performance is pretty good."
"The scalability of Apache Hadoop is very good."
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"Hadoop is extensible — it's elastic."
"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."
"Allows us to take volumes and process them at a very high speed."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"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."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"Speed and resiliency are probably the best parts of this product."
"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."
"The solution is very expensive."
"Hadoop's security could be better."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning."
"Support is an area where it could get better."
"The integration of this solution with ODI could be improved."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"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."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"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."
"I have found that coding support could be simplified."
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.
Apache Hadoop is ranked 5th in Data Warehouse with 6 reviews while Vertica is ranked 4th in Data Warehouse with 12 reviews. Apache Hadoop is rated 7.6, while Vertica is rated 9.0. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Snowflake, Oracle Exadata, VMware Tanzu Greenplum and Oracle Big Data Appliance, whereas Vertica is most compared with Snowflake, Teradata, Amazon Redshift, SQL Server and Microsoft Azure Synapse Analytics. See our Apache Hadoop vs. Vertica report.
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