---
title: Xtract IS for Azure Reviews
meta_title: 'Xtract IS for Azure Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Xtract IS for Azure works for a business like yours.
date_modified: '2026-07-07'
parent_category:
  name: Cloud Data Integration
  url: https://www.g2.com/categories/cloud-data-integration
---

# Xtract IS for Azure Reviews
**Vendor:** Theobald Software  
**Category:** [ETL Tools](https://www.g2.com/categories/etl-tools)
## About Xtract IS for Azure
Xtract IS for Azure extends Theobald Software's proven Xtract IS technology to the Microsoft Cloud, letting teams develop SSIS packages on-premises and then deploy, schedule, and run them on the Azure SSIS Integration Runtime. It reuses existing Xtract IS SSIS packages or supports building new ones from scratch, giving a smooth migration path for SAP data to the cloud. Developers keep working in SQL Server Data Tools (SSDT) to connect to one or more SAP systems, while administrators rely on familiar Microsoft tools to deploy and manage packages in Azure — with lower operational costs, high availability, and scalability. Minimal to no modification is required on the SAP side, and both bulk and incremental (delta) extraction are supported, giving developers full control over their SAP workloads while benefiting from the cloud. Learn more and try it for free: https://theobald-software.com/en/xtract-is-for-azure






- [View Xtract IS for Azure pricing details and edition comparison](https://www.g2.com/products/xtract-is-for-azure/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-14+16%3A48%3A04+-0500&secure%5Bsession_id%5D=bb5b5891-b1ab-4a00-b35d-213cee14521c&secure%5Btoken%5D=9b6c5bb5c5d91ec1658ea9a16d01628bef6aabe70b399b91679e1c5f0d5d6373&format=llm_user)

## Xtract IS for Azure Features
**Management**
- Reporting
- Auditing

**Functionality**
- Extraction
- Transformation
- Loading
- Automation
- Scalability

## Top Xtract IS for Azure Alternatives
  - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,317 reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,144 reviews)
  - [Celigo](https://www.g2.com/products/celigo/reviews) - 4.6/5.0 (1,022 reviews)