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."It's good for storing historical data and handling analytics on a huge amount of data."
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"One valuable feature is that we can download data."
"It's open-source, so it's very cost-effective."
"The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"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."
"The solution improved our site reliability."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"The solution is stable."
"Some of the most valuable features are publish and subscribe, fanout, and queues."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"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."
"Very fast for query processing."
"It would be good to have more advanced analytics tools."
"Hadoop's security could be better."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"It needs better user interface (UI) functionalities."
"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."
"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."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"I would like to see more direct integration of visualization applications."
"The solution needs improvement on performance."
"The next release should include some of the flexibility and features that Kafka offers."
"I would like to see the performance of the administration portal improved and additional messaging protocols."
"VMware RabbitMQ needs to create a new queue system."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"The product is pretty hard to configure."
Apache Hadoop is ranked 6th in Data Warehouse with 34 reviews while VMware Tanzu Data Services is ranked 5th 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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