Hadoop vs. Hadon’t: What are the Hadoop alternatives?
Until now, many people have used Hadoop for its advantages. However, developers and users are realizing that Hadoop has its limitations.
It cannot combine all data effectively and provide performance with ease of use.
Customers are deploying modern alternatives like Snowflake to combine semi-structured (JSON, AVRO, XML) and structured data effectively, and provide quicker and easier access to data for the Analyst community.
However, the advantages of Snowflake go further:
- Allows customers to ingest and query semi-structured data effectively using SQL, making it easy for analysts to use, rather than be dependent on development of complex MapReduce tasks
- No need for managing the environment and security because of the cloud native nature of the Snowflake Elastic Data Warehouse service
- Allows developers and analysts to use JDBC, ODBC, R and Python to develop application on top of Snowflake
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