We performed a comparison between Apache Hadoop and Oracle Exadata Express Cloud Service 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."The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"The best thing about this solution is that it is very powerful and very cheap."
"The most valuable feature is the database."
"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."
"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."
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."
"It is a scalable product."
"I like that Oracle Exadata Express Cloud Service is easier to use and is a cost-saving solution because you won't need to hire people to run and maintain it."
"In the cloud, Exadata is more scalable. The on-prem version was limited. It wasn't that scalable because it only came in a quarter rack, half rack, and full rack. In the cloud, it scales to what you need."
"The solution is very stable and offers great performance."
"Having the prediction happen in the modular format allows you to start with a lower version of Exadata and then you can keep on upgrading it as per your requirement."
"The performance of the tool is valuable."
"One of the most valuable parts of the solution is the high availability within the system and the performance enhancement without making any changes or fine-tuning the databases."
"The stability of the solution needs improvement."
"I think more of the solution needs to be focused around the panel processing and retrieval of data."
"It would be good to have more advanced analytics tools."
"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 solution is very expensive."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"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 the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"The only downside is the difficulty in monitoring, and that's why I would like to implement MySQL database."
"We use artificial intelligence for deep learning, and it would be a huge benefit to implement this in Oracle Exadata."
"The product's installation process needs improvement. It could be more accessible."
"Scaling Oracle Exadata Express Cloud Service can be done, but the process is a little tedious, which could be an area for improvement in the solution."
"The customer's default choice is the on-premise version of this solution. Only when Oracle or the partners like us, can explain to customers the cloud value proposition, and if the compliance authorities allow, they can look into this cloud solution. It will take some time for Oracle to change its perception of customers' de-facto standards. Exadata used to be treated as a black box, which is not the case now. The customer is aware of what is happening inside, how the configurations have been made, and what patching has been applied. Oracle needs to market the cloud version better."
"Oracle's support could be better."
"The support must be faster."
"The solution's pricing could be improved."
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Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while Oracle Exadata Express Cloud Service is ranked 10th in Database as a Service with 9 reviews. Apache Hadoop is rated 7.8, while Oracle Exadata Express Cloud Service is rated 7.4. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of Oracle Exadata Express Cloud Service writes "Enhances performance without fine tuning databases". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas Oracle Exadata Express Cloud Service is most compared with Oracle Exadata and Redis. See our Apache Hadoop vs. Oracle Exadata Express Cloud Service 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.
