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."What comes with the standard setup is what we mostly use, but Ambari is the most important."
"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"The scalability of Apache Hadoop is very good."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"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."
"The performance is pretty good."
"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."
"This product can noticeably enhance performance of contextual Oracle databases."
"The data replication is very good."
"Compression is a great feature, where one can really save a lot of storage."
"Oracle Exadata has very good hardware."
"We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA."
"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."
"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."
"Exadata is a fantastic machine. Two features stand out. The first is the resource input/output management tool that allows you to manage the resources to the neck on the Exadata box."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"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 is very expensive."
"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 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."
"I would like to see more direct integration of visualization applications."
"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."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"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."
"The solution could always be more stable and more reliable."
"We had issues with system restoration."
"The initial setup process is very difficult and extremely complex."
"The technical support is in need of improvement."
"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."
Apache Hadoop is ranked 5th in Data Warehouse with 11 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 25 reviews. Apache Hadoop is rated 7.8, while Oracle Exadata is rated 8.4. The top reviewer of Apache Hadoop writes "Has good processing power and speed and is capable of handling large volumes of data and doing online analysis". On the other hand, the top reviewer of Oracle Exadata writes "Exadata can significantly improve performance but there's a learning curve in a few key areas". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Azure Data Factory, 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.
See our list of best Data Warehouse vendors.
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.