We performed a comparison between Apache Hadoop and Oracle Big Data Appliance 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."Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"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."
"The best thing about this solution is that it is very powerful and very cheap."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"The performance is pretty good."
"It's good for storing historical data and handling analytics on a huge amount of data."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"This is a comprehensive solution that is easy to deploy."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"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is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen.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."
"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."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"I would like to see more direct integration of visualization applications."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"It needs better user interface (UI) functionalities."
"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."
"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."
"The product should be simplified for the average user."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while Oracle Big Data Appliance is ranked 14th in Data Warehouse with 5 reviews. Apache Hadoop is rated 7.8, while Oracle Big Data Appliance 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 Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Vertica, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Microsoft Azure Synapse Analytics and Teradata. See our Apache Hadoop vs. Oracle Big Data Appliance report.
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