We performed a comparison between Apache Hadoop and Oracle Big Data Appliance based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"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."
"Hadoop File System is compatible with almost all the query engines."
"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."
"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"The best thing about this solution is that it is very powerful and very cheap."
"Hadoop is extensible — it's elastic."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"This is a comprehensive solution that is easy to deploy."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"It would be good to have more advanced analytics tools."
"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."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"The stability of the solution needs improvement."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"It could be more user-friendly."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The product should be simplified for the average user."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews. Apache Hadoop is rated 7.8, while Oracle Big Data Appliance is rated 8.0. 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 Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and AWS Lake Formation, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Teradata and Microsoft Azure Synapse Analytics.
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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.
