Capabilities

Database and Cloud Mover

Modern enterprises benefit from a growing range of database platforms and cloud PaaS services.  Growing diversity naturally leads to data flows between platforms, including both one-time migrations and daily and near real-time flows. 

Windocks simplifies data movement with automated schema and data type mapping, for one-click (or scheduled) movement between SQL Server, Postgre, MySQL, Snowflake, Aurora, RDS, Azure SQL, and Azure Managed Instance.  

A popular use-case is improved access to cloud PaaS data.  Azure SQL or Managed Instance data is "moved" or copied to a Windocks server where the data is imaged, and then served as clones for dev/test and other needs.  

More on Windocks Database Mover

Database moves simplified

Windocks handles the complexities of moving a full database or subset, creating the target tables, relationships, and data type mapping and writing the millions of rows of data.  Simply connect to the source, define the target, and "move."  Windocks data mover is fast, with up to 20 million rows per minute throughput!   And, Windocks does not write to the source database.  

Automated, fast subsets

Windocks subsetting handles the real-world challenges of circular data dependencies, composite keys, and other challenges, and produces the desired subset in a matter of minutes (or seconds).  Connect to the source database and specify the subset size, or use Table filters with Where clauses.  Source database rows can also be specified to be included.  

Comprehensive data

Work with SQL Server, Postgre, MySQL, Aurora, Snowflake, Azure Managed Instances, Azure SQL, AWS RDS, flat files, Oracle, and DB2. 

Automated schema drift alerts

Once defined, a subset can be automated to produce the desired subset daily, or as often as needed.  Windocks detects changes in the schema automatically, alerting you to the need to review the job to handle the changes. 

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Getting started with the database mover

1)  Install Windocks

Download the Windocks Community Edition and install, or email support@windocks.com for a supported pilot of Standard or Enterprise editions. Windocks runs on Windows, Linux, or Docker containers and Kubernetes.   

2) Connect to the source and target database

Windocks supports movement between any combination of SQL Server, Postgre, MySQL, Aurora, Snowflake, RDS, Azure Managed Instance, and Azure SQL.  Start by creating a persistent connection to the source and target instance or service.  

3)  Save and run the migration

It's really that simple.  Windocks recreates the source schema on the target, handles the data type mapping, and efficiently writes the data to the new platform.   It's fast and efficient even on slow networks, moving up to 20 million rows per minute. 

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