We performed a comparison between Azure Data Factory and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution can scale very easily."
"The solution is okay."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"Its integrability with the rest of the activities on Azure is most valuable."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The most important feature is that it can help you do the multi-threading concepts."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The most valuable feature for us is horizontal scaling."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"It works very well with large database queries."
"Pivotal Greenplum's shared-nothing architecture."
"Very fast for query processing."
"It's super easy to deploy and it also supports different languages and analytics."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."
"Data Factory's monitorability could be better."
"There's space for improvement in the development process of the data pipelines."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"The product could provide more ways to import and export data."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"Initial setup is a little complex. It took around two weeks to deploy."
"Implementation takes a long time."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Extra filters would be helpful."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"The installation is difficult and should be made easier."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Azure Data Factory is rated 8.0, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake. See our Azure Data Factory vs. VMware Tanzu Greenplum report.
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