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Comparison
Between
ETL And ELT
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ETL Process
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SQL
RDBMS
NoSQL
DBMS
SAAS
Platforms
XML Files
xtract
E
ransform
T
oad
L
Staging Area Data
Warehouse
Analytics
nalyze
A
oad
L
ELT Process
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SQL
RDBMS
NoSQL
DBMS
SAAS
Platforms
XML Files
xtract
E
Data
Warehouse
Analytics
nalyze
A
ransform
T
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COMPARISON
Data is extracted from a
source system, then
transformed on a
secondary processing
server, and loaded into a
destination system
VS
ETL ELT
Data is extracted from a
source system, then
transformed on a
secondary processing
server, and loaded into a
destination system
Defination
In ETL, the data goes
into a temporary
staging area.
In ELT, data goes
immediately into a data
lake storage system.
Extraction
In ETL, the data goes
into a temporary
staging area.
In ETL, the data goes
into a temporary
staging area.
Transformation
Data is loaded into a
destination system
once it has been
transformed.
Data is loaded into a
destination system
once it has been
transformed.
Load
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COMPARISON
Structured (Typically)
VS
ETL ELT
Structured, Semi-Structured,
Unstructured
Output of
Data
It is ideal for smaller
amounts of data.
It has the ability to
handle large amounts
of data.
Size of the
Data
In ETL, the data goes
into a temporary
staging area.
In ETL, the data goes
into a temporary
staging area.
Availability
of storage
Separate servers may
result in increased
costs.
The cost of a simplified
data stack is lower.
Cost
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COMPARISON
Data Lake is not
supported in ETL.
VS
ETL ELT
Data Lakes can be used to
process unstructured data
Compatibility
of Data Lakes
Cloud-based ETL
platforms don't
require hardware.
ELT processes are
cloud-based and don't
require particular
hardware.
Hardware
Requirement
IBM DataStage, Oracle Data
Integrator, Informatica
PowerCenter, SAS Data
Management, Hadoop, AWS
Glue, Azure Data Factory,
Google Cloud Dataflow
Hevo Data, Luigi,
Blendo, Matillion,
Talend, StreamSets,
Etleap, Airflow,
Kafka,NiFi
Tools Used
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Comparison ETL Vs ELT