Tools for data integration and development.

Create, extend and adapt ETL and data integration jobs in Azure, including big-data workloads.

Scalable framework for data processing, data science and machine learning on single machines or clusters.

Programmatically create, schedule and monitor workflows with a Python-based, scalable platform.

Integrated analytics platform for ETL/ELT, data warehousing, analytics and ML modules.

Low-code platform for data integration, data quality and data governance in one solution.

Business intelligence software for ETL, reporting, OLAP/analysis and data mining.

Connectors, data modelling, visualization and publishing within the Microsoft ecosystem.

End-to-end SaaS for data integration, storage and analytics with OneLake as an open data store.

SSIS automates data movement and transformations between different source and target systems.

Fast solution for data acquisition from diverse databases into the Microsoft SQL Server world.

Initial and incremental loads for landing zones as the foundation for data warehouses.

Logic layers, analyses and dashboards on consolidated data sets.

Relational database management system for storage, administration, reporting and security.

Cloud-based SQL Server services with automated backups, high availability and performance optimization.

Object-relational database system with high reliability, extensibility and SQL standards support.

Central repository for structured and unstructured raw data that can be processed when needed.

Open-source layer for data lakes with ACID transactions, versioning and incremental processing.

Combines data lake and data warehouse concepts for unified processing, governance and analysis.