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."
"The most valuable feature is the database."
"Hadoop File System is compatible with almost all the query engines."
"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."
"It's open-source, so it's very cost-effective."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"Pivotal Greenplum's shared-nothing architecture."
"The solution improved our site reliability."
"The message routing is the most valuable feature. It is effective and flexible."
"The security is great."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"I like the high throughput of 20K messages/sec, and that it supports multiple protocols."
"RabbitMQ will help to remove a lot of the complexities and create a loosely coupled codebase."
"The solution can scale."
"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."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"The stability of the solution needs improvement."
"Hadoop's security could be better."
"I would like to see more direct integration of visualization applications."
"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."
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"RabbitMQ is clearly better supported on Linux than it is on Windows. There are idiosyncrasies in the Windows version that are not there on Linux."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"The product needs to focus on offering more use case documentation because browsing the internet to find it can be a process filled with struggles."
"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."
"They should improve on the ability to scale your queues in a very simple and elegant way with the same power that they have would be great."
"VMware RabbitMQ needs to create a new queue system."
"The solution needs improvement on performance."
"The next release should include some of the flexibility and features that Kafka offers."
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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We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
