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."I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"The performance is pretty good."
"Hadoop File System is compatible with almost all the query engines."
"It's open-source, so it's very cost-effective."
"The tool's stability is good."
"As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"Backup/Restore performance: Fast backups, fast restores (especially useful for creating clone environments)."
"The business intelligence is very good."
"The most valuable feature is the time to solution."
"Oracle Exadata is stable."
"The product is flexible."
"The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable."
"Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it."
"Exadata's best features are its performance during redo logging and the elasticity of the database handling."
"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."
"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 good to have more advanced analytics tools."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them."
"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."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"We need a monitoring tool which can in one place, where we can manage, monitor the entire Exadata components."
"Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems."
"We have a little trepidation with the system as it does have a learning curve. Also changing to a binary logging format for us feels like retrograde motion, but sadly almost all Linux variants have moved in this direction."
"Checking the Smart Scan issues is complicated."
"The integration with third-party applications regarding access management security could be better."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"Setting up Exadata is complex. You need an Oracle vendor or someone who is Oracle-certified to set it up."
Apache Hadoop is ranked 6th in Data Warehouse with 34 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 125 reviews. Apache Hadoop is rated 7.8, while Oracle Exadata is rated 8.4. 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 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.
