Databricks Migration Services

Yes. As a Databricks migration company, we support migration from Hadoop, Cloudera, Teradata, Netezza, Oracle, SQL Server, Redshift, Snowflake, Synapse, and BigQuery to Databricks. We also migrate and modernize workloads from Informatica, SSIS, Talend, DataStage, and other ETL platforms to Databricks.

The timeline depends on data volume, workload complexity, pipeline dependencies, source platform, and modernization requirements. We establish a realistic timeline during the assessment and divide the project into defined migration phases and milestones.

It depends. We use parallel-run and phased cutover strategies to minimize disruption. Your existing environment continues operating while migrated data and workloads are validated against the source system before production cutover. It helps keep any potential downtime to a minimum for a smoother transition to Databricks.

Yes. We provide a phased approach that allows you to migrate selected workloads, pipelines, or data platforms while keeping other systems in place. We assess dependencies and define an approach that supports coexistence between Databricks and your existing environment.

We validate migrated data against the source environment using row counts, checksums, aggregates, and business-specific reconciliation rules. We ensure critical workloads undergo parallel testing before cutover to verify data accuracy and functional consistency.

We ensure security is incorporated throughout the Databricks migration service rather than added after implementation. We configure access controls, data protection, governance policies, and sensitive-data controls using Databricks capabilities such as Unity Catalog, row filters, column masking, and auditing.

Yes, we map your existing governance, security, and access requirements to the Databricks environment as part of the migration process, including requirements related to regulations such as GDPR and HIPAA. We configure appropriate access controls, row-level filters, column masking, and auditing to enforce data access policies and to protect sensitive information.

The actual cost of a Databricks migration service delivery depends on the number of workloads, data volume, source platforms, pipeline complexity, modernization requirements, and ongoing infrastructure needs. We assess your environment first and provide a migration scope and cost estimate based on those requirements.

Yes. Our post-migration Databricks services include workload optimization, job and cluster configuration, performance monitoring, cost optimization, governance support, and assistance with safely decommissioning legacy systems after migration.

Bacancy Technology, as a leading Databricks migration company in the USA, Europe, the Middle East, and the APAC region, brings Databricks-certified professionals, experience across data, ISO certification, AI, and BI workloads, and expertise in regulated industries. We manage the migration from assessment and architecture through validation, cutover, optimization, and ongoing support.

The deliverables depend on the migration scope and may include an assessment report, migration roadmap, target architecture, workload inventory, migrated data and pipelines, validation results, governance configuration, testing documentation, cutover plan, and post-migration optimization recommendations.