We performed a comparison between Apache Hadoop and VMware Tanzu Data Services 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."We selected Apache Hadoop because it is not dependent on third-party vendors."
"Apache Hadoop is crucial in projects that save and retrieve data daily. Its valuable features are scalability and stability. It is easy to integrate with the existing infrastructure."
"The best thing about this solution is that it is very powerful and very cheap."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"The tool's stability is good."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"The message routing is the most valuable feature. It is effective and flexible."
"RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the provided SDKs."
"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."
"The security is great."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"Companies can scale the solution, so long as they have server room."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"Since it is an open-source product, there won't be much support."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."
"The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support."
"I would like to see more direct integration of visualization applications."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"It doesn't have any GUI-based monitoring tools."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The installation is difficult and should be made easier."
"I’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"If you're outside IP address range, the clustering no longer has all the features which is problematic."
"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."
Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while VMware Tanzu Data Services is ranked 6th in Data Warehouse with 81 reviews. Apache Hadoop is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of VMware Tanzu Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Dremio, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka and Red Hat AMQ. See our Apache Hadoop vs. VMware Tanzu Data Services report.
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