Data Lake for Enterprises

Disadvantages of Hadoop

Hadoop’s advantages outweigh its disadvantages; it does suffer from disadvantages, which are listed here:

• Hadoop stores data in chunks and, because of this, reading data will have to be done by querying the whole file. This can make random data access problematic with Hadoop as the data store.
• If your data is small (in our case, it isn't), usage of Hadoop can be troublesome or will not reap the benefits envisaged.
• Execution of advanced algorithms, which demands more specific hardware requirements, can be problematic using Hadoop.
• Getting niche/skilled people was a problem early on, but this skill is increasing in the market day by day. However, this is still an issue rolling out the Hadoop ecosystem in an organization. ...