To ingest, process and analyse big data you can use:
Azure data Bricks + Azure Data Factory
or
Azure Synapse Analytics.
In Azure Data Bricks you create notebooks (process data) and use them Azure Data Factory (include in pipes)
Azure Data Factory- allows you to create, schedule, and manage data pipelines.
- it is primarily used for data ingestion, preparation, and transformation
- provides integration with other Azure services, such as Azure Databricks, Azure Machine Learning, and Azure Data Lake Storage.
Azure Synapse Analytics
Comprehensive analytics service used to accelerate big data and analytics projects by providing an integrated environment that supports data ingestion, processing, and analytics in a single platform.
Azure Databricks
Cloud-based big data processing and analytics platform provided by Microsoft Azure using the Apache Spark-based analytics platform.
It is designed to process large volumes of data, build and train machine learning models, and perform advanced analytics on structured and unstructured data.
As you may see, event both are doing the same thing, it is quite easy to choose one of them or use both based on project you develop.
Q: It is about processing petabytes of data and/or real time (stream) analysis
A: Azure Synapse Analytics
Q: It is about processing small to big data, various, really various data sources and you need this to create and train ML models?
A: Azure Databricks
More details based on basic criteria:
- Scale
Process large amounts of data (petabytes or more) -> Azure Synapse Analytics is the choice as it is designed for high-volume data processing.
Azure Data Bricks is better suited for smaller-scale data processing needs. - Real-time analytics
Here there is no better option than Azure Synapse Analytics which has a built-in streaming analytics feature that allows for real-time data processing and analysis, making it a better choice for real-time analytics needs. - Integration
You can use any of them.
Azure Data Bricks has stronger integration with other Azure services. It may require more/complex configuration.
Azure Synapse Analytics may be the better choice as it integrates well with these services: Azure Data Factory or Azure SQL Data Warehouse, - Machine learning
Here the winner is Azure Data Bricks which has built-in machine learning libraries and tools that make it easy to train and deploy models.
Azure Synapse Analytics also has machine learning capabilities, but they are not as robust as Azure Data Bricks (not yet) - Cost
Azure Synapse Analytics is definitely more expensive than Azure Data Bricks, especially for larger-scale data processing needs.
Wish to save then go for Azure Data Bricks.
