End-to-End Migration Framework for Databricks Lakehouse Platform
Build a powerful, scalable, and secure data foundation that accelerates business growth
Whether you’re moving from legacy systems, Hadoop, cloud data warehouses, or on-premise infrastructure, our Databricks Migration Services are designed to make your transition fast, seamless, and disruption-free. We help you modernize your data architecture, migrate workloads, and optimize performance on the Databricks Lakehouse Platform—ensuring long-term scalability and value.
Our team of certified Databricks experts follows proven frameworks to assess, plan, execute, and validate every stage of migration
Minimal Downtime, Maximum Continuity
We ensure your business operations remain uninterrupted with phased migration, robust validation, and zero-downtime cutovers.
Cost & Performance Optimization
Post-migration, we fine-tune your workloads to leverage Databricks’ compute efficiency, helping you reduce infrastructure costs and accelerate data processing.
Accelerated Time to Value
With automation, best practices, and deep domain expertise, we help you realize the benefits of Databricks faster—from improved data agility to faster analytics and AI outcomes.
Our Databricks Migration Services
End-to-end Databricks migration services tailored to your existing data landscape and business goals.
Hadoop to Databricks
Legacy Hadoop environments are often costly, complex, and hard to scale. We help you migrate from Hadoop (including HDFS, Hive, Pig, and MapReduce) to Databricks, modernizing your data pipelines while reducing operational overhead and improving performance.
Migrate HDFS data to Delta Lake format for unified batch and streaming.
Rebuild Hive/Pig workflows using Spark on Databricks.
Decommission on-prem clusters with minimal disruption and phased cutovers.
Amazon Redshift to Databricks
We enable seamless migration of Redshift data warehouses to Databricks for better performance, scalability, and integration with ML workflows. Our approach minimizes query rewrites and ensures metadata and permissions are migrated securely.
Migrate data and schemas from Redshift to Delta Lake.
Translate Redshift SQL queries and views to Databricks-compatible formats.
Integrate migrated data into ML/AI pipelines on Databricks.
Amazon EMR to Databricks
Amazon EMR users often face challenges around scalability and maintenance. Our services help migrate Spark, Hive, and Presto workloads from EMR to Databricks, improving cost-efficiency and performance with Databricks’ managed infrastructure.
Replatform Spark jobs to Databricks notebooks and workflows.
Optimize cluster resource usage with autoscaling and job scheduling.
Replace EMR steps with orchestrated Databricks workflows.
Snowflake to Databricks
For businesses seeking greater openness, flexibility, and unified data analytics, we offer migration services from Snowflake to Databricks. Our process ensures data integrity, performance parity, and secure transition without loss of analytics capabilities.
Migrate data and objects from Snowflake to Delta Lake.
Rebuild SQL queries, dashboards, and views in Databricks SQL.
Align governance, security policies, and access control mechanisms.
Other Legacy & Cloud Sources to Databricks
We support migrations from a wide range of other systems. Each migration is tailored to meet enterprise-grade security, compliance, and performance goals.
Data ingestion and transformation using Auto Loader and Spark.
Custom connectors and ETL tools to streamline migration paths.
Support for real-time data sync during phased cutovers.
Our Migration Approach
01
Discovery & Assessment
Analyze your current data environment to define scope, dependencies, and migration goals.
02
Planning & Strategy
Develop a customized, phased migration roadmap with risk mitigation and success metrics.
03
Execution & Migration
Migrate data, jobs, and models securely to Databricks with minimal disruption.
04
Validation & Testing
Ensure data accuracy and workload integrity through rigorous testing and QA.
05
Optimization & Enablement
Fine-tune performance, reduce costs, and empower your teams with Databricks best practices.
Specialized Migration Services: Unity Catalog & More
Beyond standard platform migrations
Unity Catalog Migration
We ensure your tables, views, permissions, lineage, and tags are migrated securely and accurately into Unity Catalog, enabling centralized governance across workspaces.
- Migrate existing metastore configurations into Unity Catalog.
- Set up fine-grained access controls and role assignments.
- Enable data lineage, discovery, and audit-ready compliance.
Legacy System Migrations
We handle complex migrations from older or specialized systems, ensuring smooth transitions and minimal technical debt.
- Migrate large, mission-critical datasets to cloud-native architecture with schema transformation and workload validation.
- Consolidate multi-cloud data into a unified Databricks Lakehouse for better cost and performance.
- Move semi-structured and unstructured data into Delta Lake, enabling advanced analytics and AI.
Advanced Cloud-to-Cloud Migrations
For organizations shifting between cloud providers or modernizing hybrid cloud setups, we offer:
- Cross-cloud data replication and synchronization.
- Migration of Spark workloads from Amazon EMR, Azure HDInsight, or Google Dataproc.
- Cloud-native optimization and re-platforming for maximum efficiency.
Have Questions About Migrating to Databricks?
Get expert guidance, a free assessment, and a clear roadmap tailored to your data environment.
Speak to a Migration ExpertCustomer Success Stories
Leading Retail Chain
38%
Improvement in Demand Forecast Accuracy
The client, a major retailer, faced challenges with outdated, fragmented data. We implemented Databricks’ Lakehouse Platform to unify their data, enabling real-time analytics and actionable insights.
Read MoreWhy Choose Credencys
We combine deep technical expertise with industry knowledge to deliver Databricks services that drive real business value.
Certified Partnerships
Testimonials
Credencys helped us cut downtime, boost efficiency, and gain real-time supply chain visibility with Databricks. Their solution transformed how we operate.
Thanks to Credencys and Databricks, we now have real-time visibility into inventory and customer behavior. Our operations are faster, marketing is smarter, and we're ready to scale.
50+
Enterprise Clients
100%
Certified Consultants
15+
Years Experience
4.9/5
Client Satisfaction
Databricks offerings we provide
Brands That Trust Us
Frequently Asked Questions
Databricks offers a unified data and AI platform with better scalability, reduced maintenance, faster processing, and native support for ML and streaming—making it a smarter alternative to legacy systems like Hadoop.
Migration timelines vary based on data volume, source systems, and complexity, but most enterprise migrations are completed in 6–12 weeks using a phased approach.
Yes. We support seamless migration from Snowflake, Redshift, and other cloud data warehouses to Databricks with schema conversion, SQL translation, and data validation.
Our migration process is designed to minimize or eliminate downtime. We use parallel environments and phased cutovers to ensure business continuity.
We migrate from Hadoop, EMR, Snowflake, Redshift, Oracle, SQL Server, Teradata, BigQuery, and more—covering both on-prem and cloud systems.
We refactor or replatform existing ETL/ELT workflows using Spark, Delta Live Tables, or Databricks Workflows to ensure compatibility and better performance.
We follow enterprise-grade security practices, including data encryption, access control mapping, and compliance with standards like GDPR and HIPAA.
Yes. We offer performance tuning, cost optimization, and enablement services after migration to help you get the most out of Databricks.
Trusted by Best
Choosing Credencys means partnering with a team that’s deeply committed to unlocking the true value of your data. Here’s why industry leaders trust us:
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