We performed a comparison between Apache Hadoop and IBM Db2 Warehouse on Cloud based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."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."
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"One valuable feature is that we can download data."
"The tool's stability is good."
"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."
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"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 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."
"The performance is okay as long as the volume of queries is not too high."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"It will be MPP, so performance should improve."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"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."
"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 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."
"The solution is very expensive."
"It could be more user-friendly."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse. Apache Hadoop is rated 7.8, while IBM Db2 Warehouse on Cloud 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 on Cloud writes "The "prefetch" feature anticipates needed data and keeps it available. BLU acceleration determines what data is unqualified for analysis and skips it". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas IBM Db2 Warehouse on Cloud is most compared with Amazon Redshift, IBM Netezza Performance Server, IBM Db2 Warehouse, Microsoft Azure Synapse Analytics and Snowflake.
See our list of best Data Warehouse vendors and best Cloud 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.
