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Frequently asked questions

• In which marketplaces is DataSwitch listed?

  DataSwitch is available on AWS Marketplace, Microsoft Azure Marketplace, and Google Cloud Marketplace.

• How does DataSwitch ensure the tool is secure to use?

  We are ISO Certified, and we conduct regular penetration testing.
  Additionally, we support client-specific security assessments when required to meet internal compliance standards.

• Who is responsible for unit testing?

  Unit testing is handled by the System Integrator (SI) Partner team.
  The DataSwitch team focuses on code development and automation, ensuring high-quality, maintainable code.

• What is the pricing model for DataSwitch?

  We offer an outcome-based pricing model, most commonly charged on a per-script basis.
  Custom pricing models can also be discussed based on project scope.

• What is the hosting platform for the DataSwitch tool?

  DataSwitch is hosted on secure and scalable AWS instances.

• Does DataSwitch support end-to-end technical lineage for ETL jobs?

  Yes, we support complete ETL lineage tracking. Currently supported technologies include IBM DataStage, SSIS, and Informatica.

• What AI capabilities does DataSwitch offer for migration optimization?

  DataSwitch employs Generative AI techniques such as tokenization and transformer-based models for reverse engineering.
  It uses a graph-based engine for forward engineering, ensuring deterministic, optimized code aligned with best practices.

• What levels of security does DataSwitch provide for data in transit and at rest?

  DataSwitch uses AES-256 encryption for metadata both in transit and at rest.
  For actual data migration, it leverages native encryption mechanisms from the source and target databases to ensure secure data handling.

• Can DataSwitch be deployed on-premises?

  Yes. While the default deployment is cloud-based (AWS),
  on-premises or private cloud deployments can be accommodated based on client requirements.

• What technologies does DataSwitch support for migration?

  ETL Tools: Talend, DataStage, SSIS, Informatica

  Databases: Oracle, SQL Server, PostgreSQL, Snowflake, Redshift, BigQuery, and more

  Cloud Platforms: AWS, Azure, GCP

• Is there a free trial or demo available?

  Absolutely. We offer live demos and proof-of-concept (PoC) engagements for qualified clients to evaluate the platform before committing.

• How long does a typical migration project take?

  Timelines vary by project complexity, but thanks to automation, most migrations are 60–70% faster compared to manual approaches.

• Does the platform support scheduling and orchestration of migration workflows?

  Yes. DataSwitch includes built-in job orchestration and supports integrations with popular schedulers like Apache Airflow, Control-M, and Azure Data Factory pipelines.

• What is the typical team size required for a DataSwitch implementation project?

  A typical project team consists of: 1 implementation Manager, 1 Product Engineer and 2 to 3 Data Engineers.