Hadoop is an open source framework for writing and running distributed applications that process large amounts of data.
Comparison of Hadoop with Traditional RDBMS:
Data Size:
Traditional RDBMS: Can handle data in GBs.
Hadoop: Can handle data in PBs.
Access:
Traditional RDBMS: Interactive and Batch.
Hadoop: Batch.
Updates:
Traditional RDBMS: Read and write many times.
Hadoop: Write once, read many times.
Structure:
Traditional RDBMS: Static schema.
Hadoop: Dynamic schema.
Integrity:
Traditional RDBMS: High.
Hadoop: Low.
Scaling:
Traditional RDBMS: Nonlinear.
Hadoop: Linear.
Comparison of Hadoop with Traditional RDBMS:
Data Size:
Traditional RDBMS: Can handle data in GBs.
Hadoop: Can handle data in PBs.
Access:
Traditional RDBMS: Interactive and Batch.
Hadoop: Batch.
Updates:
Traditional RDBMS: Read and write many times.
Hadoop: Write once, read many times.
Structure:
Traditional RDBMS: Static schema.
Hadoop: Dynamic schema.
Integrity:
Traditional RDBMS: High.
Hadoop: Low.
Scaling:
Traditional RDBMS: Nonlinear.
Hadoop: Linear.
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