Tech Insights

ETL

Last updated , generated by Sumble
Explore more →

What is ETL?

ETL stands for Extract, Transform, Load. It is a data integration process that involves extracting data from various source systems, transforming it into a consistent and usable format, and loading it into a target data warehouse or data lake for analysis and reporting. ETL processes are commonly used to consolidate data from disparate systems, cleanse and standardize data, and prepare data for business intelligence and analytics.

What other technologies are related to ETL?

ETL Competitor Technologies

ELT is a data integration approach that competes with ETL by transforming data within the data warehouse instead of staging it.
mentioned alongside ETL in 80% (6.5k) of relevant job posts
Microsoft SSIS is a dedicated ETL tool and a direct competitor, offering similar functionality for data integration.
mentioned alongside ETL in 10% (10.7k) of relevant job posts
Informatica PowerCenter is a leading ETL platform, competing directly with other ETL tools.
mentioned alongside ETL in 11% (9.9k) of relevant job posts
Azure Data Factory is a cloud-based ETL service, a direct competitor in the ETL space.
mentioned alongside ETL in 8% (8.6k) of relevant job posts
Talend is an open-source ETL tool that competes directly with other ETL solutions.
mentioned alongside ETL in 11% (4.7k) of relevant job posts
AWS Glue is a serverless ETL service that competes directly with other ETL solutions.
mentioned alongside ETL in 7% (4.3k) of relevant job posts

ETL Complementary Technologies

SQL is a query language crucial for data manipulation and transformation within ETL processes.
mentioned alongside ETL in 3% (77.3k) of relevant job posts
Data warehousing is the destination for data processed by ETL pipelines, making it a crucial complementary technology.
mentioned alongside ETL in 30% (4.8k) of relevant job posts
Snowflake is a cloud data warehouse that can be a target for ETL processes.
mentioned alongside ETL in 6% (13.4k) of relevant job posts

6% of Data Infrastructure Migration projects involve ETL

ETL
To develop a scalable cloud data warehouse that powers SQL analytics in Azure compute, utilizing technologies such as Azure Data Lake and Microsoft Fabric.
ETL
To integrate Workday with multiple SAP HCM systems using integration platforms like ShapeIn to streamline HR processes.
ETL
Developing services that leverage generative AI and foundation models to improve the experience of developers using AWS tools and services.
ETL
To develop scalable data architectures and real-time data pipelines using technologies like Apache Airflow, Google Cloud Platform, and BigQuery to support AI/ML analytics.
ETL
To enhance and configure the Epic electronic patient record system to improve clinical outcomes and operational efficiency.

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.