posted 4 weeks ago
In Big Data, earlier Hadoop was there, the Hadoop ecosystem having Map Reduce, Hive, HBase etc for processing Big Data that cannot be stored and processed by conventional ways.
Then came Spark. Apache Spark which is faster than Hadoop Map Reduce (due to its in memory processing) and also it provides a lot more things in its frame work like streaming and ML.
After that Databricks has come, built on top of spark, integrates with clould like AWS/Azure/Google Cloud, is even faster than Spark, provides a lot more things like UI and is more suitable for data scientists too.
Is Databricks the 3rd major big thing in Big Data after Hadoop and Spark? Thanks