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."Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"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 feature is scalability and the possibility to work with major information and open source capability."
"The performance is pretty good."
"It's good for storing historical data and handling analytics on a huge amount of data."
"Compression is a great feature, where one can really save a lot of storage."
"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."
"Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."
"The product is flexible."
"It is the best solution for OLTP and data warehousing."
"The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture."
"The tool's performance is good."
"The offloading of data to the SIM is a valuable feature."
"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 upgrade path should be improved because it is not as easy as it should be."
"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."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"It would be good to have more advanced analytics tools."
"The solution is very expensive."
"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 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."
"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."
"Oracle Exadata could improve the monitoring system in the enterprise manager, it could be more user-friendly. In most Oracle tools there is a lot of functionality, and sometimes you need to do five or six clicks to find metrics, and sometimes it's a waste of time."
"We have experienced some issues with processing unstructured data on Exadata. This is an important requirement for our AIML based use case. Reactive analytics data can not be prepared easily in Oracle Exadata."
"The solution takes a lot of time to clone the environment. I would like to see some improvement in the cloning support or the time it takes on the storage side."
"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."
"Setting up Exadata is complex. You need an Oracle vendor or someone who is Oracle-certified to set it up."
"Patching must be simplified."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
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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