ETL frameworks
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Explore more → **ETL frameworks**
What is ETL frameworks?
ETL (Extract, Transform, Load) frameworks are software tools and architectures designed to facilitate the process of extracting data from various sources, transforming it into a consistent and usable format, and loading it into a target data warehouse or other data storage system. They automate and streamline data integration tasks, ensuring data quality and consistency for business intelligence and analytics.
What other technologies are related to ETL frameworks?
ETL frameworks Competitor Technologies
Business Objects
Business Objects provides ETL capabilities alongside its BI features, making it a competitor for some ETL tasks.
SAS
SAS provides ETL capabilities through SAS Data Management, making it a competitor to dedicated ETL frameworks.
Oracle BI
Oracle BI includes ETL capabilities, making it a competitor for data integration tasks.
Microsoft Power BI
Power BI has built-in data transformation capabilities (Power Query), making it a competitor in some ETL scenarios.
Microsoft SSIS
SSIS is a dedicated ETL tool from Microsoft, directly competing with other ETL frameworks.
Qlik
Qlik offers ETL capabilities through Qlik Data Catalyst and Qlik Sense, competing with dedicated ETL tools.
Airflow
Airflow is a workflow management platform used for orchestrating ETL pipelines and other data processing tasks.
Snowflake
Snowflake is a cloud-based data warehouse that also offers ETL capabilities.
Number of organizations that mention technology
717
ETL frameworks
9,511
Business Objects
24,587
SAS
1,394
Oracle BI
128,289
Microsoft Power BI
22,401
Microsoft SSIS
11,477
Qlik
19,993
Airflow
25,765
Snowflake
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ETL frameworks Complementary Technologies
Online analytical processing (OLAP)
No summary available
OLAP systems are often the target of ETL processes, where data is transformed and loaded for analysis.
Map Reduce
MapReduce is a programming model and distributed processing framework often used as part of a larger ETL pipeline, especially for large datasets.
SQL
SQL is a query language essential for data transformation and extraction within ETL processes.
Number of organizations that mention technology
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Which job functions commonly mention ETL frameworks?
Data Analyst
0.1% of all Data Analyst jobs mention ETL frameworks
View 757
jobs on Sumble
Data Architect
0.1% of all Data Architect jobs mention ETL frameworks
View 23
jobs on Sumble
Data Engineer
136 Data Engineer jobs mention ETL frameworks
View 136
jobs on Sumble
Data, Analytics & Machine Learning
825 Data, Analytics & Machine Learning jobs mention ETL frameworks
View 825
jobs on Sumble
Software Engineer
282 Software Engineer jobs mention ETL frameworks
View 282
jobs on Sumble
Which organizations are mentioning ETL frameworks?
Tata Consultancy Services (TCS)
Professional Services
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