We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The initial setup is pretty straightforward."
"This is the best tool for hosts and it's really flexible and scalable."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."
"The dashboard management could be better. Right now, it's lacking a bit."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."
"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."
Amazon EMR is ranked 6th in Hadoop with 2 reviews while IBM Db2 Warehouse is ranked 14th in Data Warehouse with 2 reviews. Amazon EMR is rated 6.0, while IBM Db2 Warehouse is rated 8.0. The top reviewer of Amazon EMR writes "Stable but could offer better dashboard management and workarounds for multi-factor authentication". On the other hand, the top reviewer of IBM Db2 Warehouse writes "If you have good people designing how the data is stored, this is a marvelous tool". Amazon EMR is most compared with Cloudera Distribution for Hadoop, Hortonworks Data Platform, Apache Spark, Qubole Data Services and HPE Ezmeral Data Fabric, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Microsoft Azure Synapse Analytics, Teradata, Apache Hadoop and Oracle Autonomous Data Warehouse.
We monitor all Hadoop 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.