Databricks Consulting & Implementation Services

Our Databricks consulting services cover strategy and architecture, legacy platform migration, data engineering, Unity Catalog governance, analytics, AI and machine learning workloads, performance and cost optimization, and ongoing platform support. Engagements can cover a defined implementation or a broader modernization roadmap.

Implementation timelines depend on source-system complexity, pipeline volume, governance requirements, cloud architecture, migration dependencies, validation requirements, and whether the environment includes custom streaming or CDC workloads. Alloy can reduce repetitive engineering effort for governed batch ingestion and transformation, while specialized workloads are scoped separately.

Yes. We deploy and manage Databricks across Microsoft Azure, AWS, and Google Cloud, including multi-cloud and hybrid setups.

Yes. Alloy supports batch ingestion from relational databases, SaaS platforms, REST APIs, cloud object storage, and other enterprise systems. It standardizes repetitive ingestion and baseline governance without restricting the wider architecture. Custom transformations, business rules, integrations, streaming requirements, and proprietary logic can be handled through extensions or separate engineering.

Implementation cost depends on factors such as the number and complexity of source systems, pipeline volume, migration requirements, governance scope, cloud and network configuration, streaming or CDC requirements, testing and validation effort, optimization needs, and the level of ongoing support required. Defined requirements can be assessed before recommending the appropriate engagement model.

Governance can be established through Unity Catalog for centralized access permissions, lineage, and policy management across the Databricks environment. Delivery is also supported by Capital Numbers' security and quality practices, including SOC 2 Type II-compliant delivery practices and ISO 9001- and ISO 27001-certified processes.

Yes. Managed services can cover monitoring, performance tuning, cost optimization, governance maintenance, platform administration, incident response, and upgrades. Knowledge transfer can include documentation, role-based training, governance workshops, architecture reviews, and hands-on handover to internal teams.