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ETL and Reverse ETL Connectors for Azure SQL

Dataddo Inc.

ETL and Reverse ETL Connectors for Azure SQL

Dataddo Inc.

Dataddo offers ETL and Reverse ETL Connectors for Azure SQL, all within a single platform

Empower your analytics with Dataddo's platform, which seamlessly integrates data from over 300 sources with Azure SQL. Dataddo allows connections from a variety of business apps (like Google Analytics 4, Google Ads, Salesforce, Netsuite, and Hubspot), on-premises databases (MySQL, Postgres, Oracle, MariaDB), cloud data warehouses (Google BigQuery, Redshift, Snowflake), and various file formats (JSON, XML, CSV) through APIs and file/object storages (SFTP, S3, OneDrive). The platform supports ETL, ELT, Reverse ETL, and cross-technology database replication, ensuring rapid data access without the delays typical in data provisioning. It also handles all API changes, monitors, and maintains data pipelines, and rapidly develops new connectors.


300+ ETL and Reverse ETL connectors for Azure SQL


  • Business-user-first, developer-friendly approach, allowing easy bridging of the gap between engineering and business. Business users can configure data flows without the need for engineering teams.
  • API available for custom automations and business logic.
  • Instant, hassle-free access to your data, avoiding delays in business analytics.
  • Rapid development of new connectors, usually within 10 business days, at no additional charge.

Streamlined Setup and Maintenance


  • Quick setup and deployment, from initial login to complete, automated data pipelines in minutes, not weeks.
  • Management of all API changes, proactive monitoring, and maintenance of data pipelines by Dataddo.
  • Predictable pricing model where you pay by the number of data flows, not data volume.
  • Assisted onboarding and timely support from a dedicated team.
  • Ensure data integrity with the Dataddo Data Quality Firewall.


Secure and Compliant


  • SOC 2 Type II and ISO 27001 certification, ensuring top-tier data security and compliance with global data privacy laws.
  • Options for PII data exclusion or hashing to enhance data privacy and security.
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