Hadoop is an open source software framework that allows for the distributed processing of large data sets across a cluster of commodity servers. Blockchain is a distributed database that allows for secure, transparent and tamper-proof transactions.
The two technologies are often compared because they both enable the distributed processing of large data sets. However, there are some key differences between the two. For example, Hadoop is designed to handle structured and unstructured data, while blockchain is primarily designed to handle transactions.
Hadoop is also a much more mature technology than blockchain. It was first released in 2006, while blockchain was first introduced in 2009. Hadoop has been widely adopted by enterprises, while blockchain is still in the early stages of adoption.
Despite these differences, the two technologies can complement each other. For example, Hadoop can be used to store and process the data that is used to create blockchain transactions. This can help to improve the efficiency and security of blockchain transactions.
Other related questions:
Q: What is the relationship between big data and blockchain?
A: There is no definitive answer to this question as the relationship between big data and blockchain is still being explored. However, some believe that big data can be used to improve the efficiency of blockchain technology, while others believe that blockchain can help to secure big data.
Q: Is Hdfs decentralized?
A: No, HDFS is not decentralized.
Q: How does blockchain store large data?
A: Blockchain technology can store large amounts of data on a decentralized network. This allows for greater security and privacy for users, as well as increased efficiency and transparency.
Q: Which is better big data or block chain?
A: There is no definitive answer to this question as it depends on individual preferences and requirements. Some people may prefer big data due to its ability to handle large amounts of data, while others may prefer block chain for its distributed ledger technology.