We performed a comparison between Apache Hadoop and Oracle Exadata 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 scalability of Apache Hadoop is very good."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"The tool's stability is good."
"Since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done."
"It's open-source, so it's very cost-effective."
"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"The most valuable feature is scalability and the possibility to work with major information and open source capability."
"The most valuable feature of Oracle Exadata is the storage available."
"What I like most about Oracle Exadata is its smart scan feature. I also like that it supports higher capacities and it's high-performing, so my company can use Oracle Exadata for massive databases."
"Before using this machine, we took no less than two days to run a report. Now, we can do it within five hours. So, there is a lot of improvement."
"Oracle is easy to use for peripheral things, such as the data vault and the data firewall, data sync, and partitions. These are the features that give an edge to other databases."
"The storage capacity and the performance of Oracle Exadata are good. When comparing the performance to other technologies it is very good. I am satisfied with the management of the solution."
"The business intelligence is very good."
"Oracle Exadata has very good hardware."
"On-premises Exadata is just as stable as the cloud version. It's a very stable platform."
"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."
"The upgrade path should be improved because it is not as easy as it should be."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"It could be more user-friendly."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"It needs better user interface (UI) functionalities."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it."
"The management monitoring tools are quite important and an area that needs some improvement."
"Oracle Exadata has room for improvement in pricing, especially for smaller companies. The solution is okay for bigger companies, but for smaller companies, it isn't."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"One small area for improvement in Oracle Exadata is integration, particularly at the consolidated application level."
"I would like to see more database features and maybe more archiving features, because we need to do data archiving."
"I have found Oracle Exadata to be scalable. However, you have to purchase more hardware, such as memory."
"A room for improvement in Oracle Exadata is that it's not very easy to use in a microservices environment. It's not easy to split databases, and if this was easier to do in Oracle Exadata, it would make the solution better. What I'd like to see in the next release of Oracle Exadata is for it to become more modular, so you can use it in a context where the data layer is spread between many independent services."
"There is one aspect to Exadata that I dislike, and that's the inconsistency with other databases. When you try to get Exadata to function with another type of database like SQL, or others, there should be reliable and consistent operation. When this is improved on, we should start to see more applications growing the market."
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews. Apache Hadoop is rated 7.8, while Oracle Exadata is rated 8.4. 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 writes "Offers a variety of valuable features". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Snowflake, Teradata and BigQuery, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and IBM Netezza Performance Server. See our Apache Hadoop vs. Oracle Exadata 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.
