Databricks Migration Services
From Legacy to Lakehouse, Your Migration Starts Here
Modak powers secure, scalable Databricks migration services built for the AI era.
What Typically Goes Wrong and How We Fix It
Even the most well-intentioned migrations hit roadblocks. Here's how Modak addresses the common pitfalls in migration to Databricks.
Rigid, Siloed Architectures
Legacy data platforms create fragmented pipelines, delayed insights, and poor cross-functional access.
We unify your data estate through Databricks Lakehouse merging batch + streaming for real-time access and governance.
Inconsistent Data Quality & Governance
Lack of lineage, duplication, and access sprawl hinder analytics and trust.
Unity Catalog and RBAC frameworks standardize access, enforce policies, and bring full data visibility.
Security & Compliance Gaps
Disparate systems complicate security enforcement, audit trails, and regulatory alignment.
Enterprise-grade security built with encryption, role-based access, and cloud-native integration.
AI & ML Initiatives Stalled by Infra Limitations
Legacy systems can’t support scalable ML model training, deployment, or GenAI.
We operationalize ML/AI workflows using MLflow, Feature Store, and scalable cluster management in Databricks.
End-to-End Migration Services, Purpose-Built for Databricks
From Teradata, Oracle, Snowflake, Hadoop, and other legacy or cloud data platforms, we don’t just migrate. Reimagine your data strategy using Databricks’ Lakehouse architecture.
ETL Pipeline Modernization
Scalable, automated pipelines with real-time ingestion and high-quality transformations.
Migration to Databricks : A 4-Phased Framework
Discovery & Strategy
Assess workloads, apps, and dependencies. Identify compliance, risk, and modernization scope. Craft a phased migration blueprint using Databricks best practices
Secure & Scalable Migration
Execute with Auto Loader, DLT, and Site Recovery. Ensure RBAC, encryption, and Unity Catalog governance from day one. Enable hybrid integrations across cloud-native environments.
Optimization & AI Readiness
Performance tuning via Delta optimizations. Automate workflows, CI/CD for models, and enable ML observability. Establish triggers, alerts, and auto-scaling across clusters.
Operate & Innovate
24x7 observability with platform monitoring. Cost governance and workspace health reviews. Strategic roadmap for AI/ML, advanced analytics, and continuous optimization.
Trusted by the teams
who build what matters
Modak delivered exceptional work by completing all planned objectives while proactively identifying design gaps. Their collaborative approach fostered strong knowledge sharing and continuous learning across the engagement. Even under pressure, Modak maintained a supportive and professional environment, ensuring outcomes were achieved with precision and grace.
Modak provided excellent support, demonstrating consistency and commitment in resolving critical user issues within CML. Their proactive engagement and technical depth ensured challenges were addressed effectively, reinforcing trust and reliability throughout the process.
Modak provided excellent support in streamlining Cloud 3.0 integration and setting up key StreamSets components. Their expertise helped simplify the adoption of the new platform within CDF EPP and enabled meaningful product improvements, allowing tenants to focus on pipeline development with minimal infrastructure concerns.
Best Databricks Migration Services
From strategy to execution, helps Databricks data modernization with precision and unlock value at every stage.
Yes, Modak has experience migrating data from a wide range of source platforms, including Teradata, Oracle, Snowflake, Hadoop, and other legacy and cloud data platforms to Databricks.
Migration timelines vary based on data volume, complexity, and the number of workloads involved, but most projects range from a few weeks for smaller, focused migrations to several months for large, enterprise-wide transformation.
As a certified Databricks partner, Modak follows a phased migration approach designed to minimize or eliminate downtime, allowing existing systems to keep running in parallel until the new environment is fully validated and ready to go live.
Data security is maintained throughout the migration with encryption in transit and at rest, role-based access controls, and compliance with relevant industry standards, ensuring sensitive data remains protected at every stage.
Yes, as one of the best Databricks experts for migrating on-premise/cloud warehouses, Modak offers ongoing post-migration support, including performance tuning, cost optimization, and monitoring to ensure your Databricks environment continues to run efficiently as your data needs evolve.
In many cases existing pipelines can be re-platformed with minimal changes, though Modak also identifies opportunities to modernize and optimize workflows to take full advantage of Databricks' medallion architecture principles and other capabilities.
Yes, Modak ensures data governance policies and regulatory compliance requirements are preserved and, where possible, strengthened using Databricks' native governance tools like Unity Catalog.
Costs vary by project scope, but many organizations see long-term savings through improved performance, reduced infrastructure overhead, and consolidated tooling, Modak can provide a tailored cost-benefit assessment upfront.