Is Hadoop inappropriate for building OLTP systems? If yes, what problems arise because of which it is considered inappropriate?
No. Hadoop is not a replacement for a transaction RDBMS.
Hadoop is a framework for distributed processing to deal with large volumes of data. Hadoop does not provide any random access to data stored in its files, so if you are really interested in saving and accessing your data, check HBase. Having said that, HBase again is not a replacement for a traditional transactional RDBMS and is generally used for sparse big data sets. Moreover, for banking, Hadoop is not the use case.
hBase has been the de-factor standard for OLTP in Hadoop (assuming you use the same nodes for HDFS that you use for hBase, which you should). Cassandra also fits into this category.
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Graphs