|
RDBMS
|
Map-Reduce
|
Scalability
|
Scale UP
|
Scale Out
|
Data
Size
|
GB
|
PB and more
|
Read/Write
|
Batch and Interactive
|
Batch
|
Update
Type
|
Write many Read many
|
Write once Read many
|
Integrity
|
High
|
Low
|
Structure
|
Structural data/ Schema first Write later
|
Non Structural data/ Write first Schema later
|
Query
|
SQL
|
No SQL and SQL support too with add on tools
|
Response
time
|
Faster for Less data/ slow once size increases
|
Faster for more data in comparison
|
Note:
Slowly with the new sub projects being developed for Hadoop this gap is being
filled up as people are developing an abstract layer on top of Map-Reduce and
YARN frameworks which takes SQL and in turn convert it to Map-Reduce/Yarn.
|
All the question that scared me now i am trying to scare them .. so that they cant scare others :)
Monday, August 24, 2015
Comparison between RDBMS and Map-Reduce
Subscribe to:
Post Comments (Atom)
Featured Posts
🌫️ Project Title: "Fog Buster – AI-Powered Visibility Enhancement System"
🔍 Project Vision: To design a device that allows vehicles (cars, trucks) and aircraft (planes, helicopters, drones) to see clearly during f...
-
Configuration config = HBaseConfiguration.create(); Job job = new Job(config,"ExampleReadWrite"); job.setJarByClass(MyReadWriteJo...
-
All data is retrieved through a WitsmlServer instance which represents the WITSML server in the client program. There are three differe...
No comments:
Post a Comment
Thank you for Commenting Will reply soon ......