We performed a comparison between Apache Hadoop and IBM Db2 Warehouse 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."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"It's open-source, so it's very cost-effective."
"One valuable feature is that we can download data."
"Since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done."
"The tool's stability is good."
"It's good for storing historical data and handling analytics on a huge amount of data."
"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"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."
"Provides good security and reliability."
"The analytics engine is not bad at forecasting predictions."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"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."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"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."
"I would like to see more direct integration of visualization applications."
"Lacks sufficient documentation and particularly in Spanish."
"IBM Db2 Warehouse needs to improve its interface."
"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."
"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 challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"There should be more material available for training and training should be free."
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while IBM Db2 Warehouse is ranked 14th in Data Warehouse with 8 reviews. Apache Hadoop is rated 7.8, while IBM Db2 Warehouse is rated 7.6. 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 IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Dremio, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, IBM Db2 Warehouse on Cloud and BigQuery. See our Apache Hadoop vs. IBM Db2 Warehouse report.
See our list of best Data Warehouse vendors.
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