Tech Insights

Data Factories

Last updated May 16, 2025, generated by Sumble

What is Data Factories?

Data factories are cloud-based data integration services that orchestrate and automate the movement and transformation of data. They enable the creation of data pipelines that extract, transform, and load (ETL) data from various sources into a central data store, such as a data warehouse or data lake, for analytics and reporting. Data factories are commonly used to build data-driven workflows for data integration, data warehousing, and business intelligence.

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What other technologies are related to Data Factories?

Data Factories Competitor Technologies

Azure Data Explorer

Azure Data Explorer is a big data analytics platform that can compete with Data Factory for certain data processing and analytics workloads, especially those involving time-series data.

mentioned alongside Data Factories in 3% (68) of relevant job posts

Data Factories Complementary Technologies

Azure HDInsight

Azure HDInsight provides managed Hadoop, Spark, and other big data technologies. Data Factory can orchestrate data movement and processing within HDInsight clusters.

mentioned alongside Data Factories in 2% (52) of relevant job posts

Azure Data Lake

Azure Data Lake Storage provides scalable and cost-effective storage for big data. Data Factory can read data from and write data to Azure Data Lake Storage.

mentioned alongside Data Factories in 0% (80) of relevant job posts

Azure Cosmos DB

Azure Cosmos DB is a NoSQL database. Data Factory can be used to move data between Cosmos DB and other data stores, or to transform data within Cosmos DB.

mentioned alongside Data Factories in 0% (78) of relevant job posts