- Registered
Partner
Turn Your Data Into Decisions with Databricks
Vivasoft is a registered Databricks partner. We design, build, migrate, and optimize data and AI solutions end-to-end, in production.
What We Help You Build with Databricks
Vivasoft helps you build production-ready data and AI solutions on Databricks. Let’s check what else we can help you build:
- 1. Modernize Legacy Data Systems
- 2. Build Reliable Data Pipelines
- 3. Improve Data Governance
- 4. Automate Operational Workflows
- 5. Create Advanced Analytics Dashboards
- 6. Prepare Enterprise Data for AI & ML
Our Databricks Services
Vivasoft provides end-to-end Databricks services. Every service is delivered by engineers with live production experience on the Databricks platform.
1.Databricks Consulting
Our team works with you to understand your business goals, technical priorities, data use cases, cloud environment, and future AI requirements. Based on this, we help define the right Databricks adoption, migration, or scaling strategy.
What we provide
- Databricks strategy consulting
- Business and technical requirement analysis
- Use case planning
- Data platform roadmap
- Cloud and architecture guidance
- Migration and implementation planning
- Governance and security advisory
- AI and analytics roadmap planning
2.Databricks Lakehouse Architecture & Platform Setup
Our engineers help set up the right workspace structure, data layers, access controls, environments, integrations, and deployment workflows so your Databricks platform is ready for long-term use.
What we provide
- Databricks workspace setup
- Lakehouse architecture design
- Medallion architecture implementation
- Delta Lake design
- Dev, staging, and production environment planning
- Cloud integration with Azure, AWS, or GCP
- CI/CD-ready project structure
3.Data Migration to Databricks
Whether your data currently lives in on-prem databases, traditional data warehouses, fragmented cloud storage, SQL systems, or manual reporting workflows, we help plan and execute a structured migration to Databricks.
What we provide
- Legacy data platform assessment
- Data migration strategy
- Schema and workload analysis
- ETL/ELT migration
- Data validation and quality checks
- Migration risk planning
- Post-migration optimization
4.Data Engineering & ETL Pipeline Development
Our team helps you transform raw data into clean, trusted, analytics-ready datasets that can power dashboards, reporting systems, ML models, and business applications.
What we provide
- ETL and ELT pipeline development
- Batch and streaming data processing
- Azure Databricks ETL pipelines
- Data transformation workflows
- Data validation rules
- Pipeline monitoring
- Job orchestration
- Workflow automation
5.Unity Catalog Governance & Data Security
Our team supports access control, data lineage, auditability, role-based permissions, sensitive data handling, and governance workflows for teams working with regulated or business-critical data.
What we provide
- Unity Catalog setup support
- Role-based access control
- Data access policies
- Data lineage planning
- Audit-ready governance structure
- Secure workspace configuration
- Sensitive data protection workflows
- Compliance-focused architecture support
6.Databricks SQL, BI & Dashboard Development
Our engineers and BI specialists build dashboards and reporting layers for executives, analysts, operations teams, sponsors, and other stakeholders who need real-time or near-real-time insight into business performance.
What we provide
- Databricks SQL setup support
- Power BI dashboard development
- Operational analytics dashboards
- KPI reporting
- Sponsor-specific reporting
- Regulatory and compliance reporting dashboards
- Query optimization
- Business intelligence integration
7.Machine Learning, MLOps & MLflow Support
From experiment tracking and model lifecycle workflows to model deployment and monitoring, we support businesses that want to move from isolated ML experiments to production-ready machine learning systems.
What we provide
- ML workflow development
- MLflow implementation support
- Feature engineering pipelines
- Experiment tracking
- Model registry support
- Model deployment workflows
- Model monitoring planning
- MLOps pipeline design
8.Generative AI & RAG Application Development
Our team can support retrieval-augmented generation, AI assistants, knowledge search, secure data access, document intelligence, and workflow automation use cases where Databricks acts as the governed data and AI foundation.
What we provide
- RAG architecture planning
- Enterprise knowledge assistants
- Data preparation for LLM workflows
- AI-powered search experiences
- Prompt workflow integration
- Vector-search-ready data workflows
- AI evaluation planning
- Secure GenAI data access patterns
9.Databricks Performance & Cost Optimization
We analyze your jobs, clusters, queries, workloads, dashboards, and data pipelines to improve performance, reduce waste, and create a more efficient operating model.
What we provide
- Job performance review
- Cluster and compute optimization
- SQL query tuning
- Pipeline performance improvement
- Storage optimization
- Monitoring and logging setup
- Cost-saving recommendations
- Long-term optimization support
10.Databricks Integration & API Development
Our software engineering team can integrate Databricks with internal applications, portals, dashboards, Power Platform tools, cloud services, authentication systems, and third-party platforms.
What we provide
- REST API integration
- Application-to-Databricks workflows
- Power Platform integration
- Power BI integration
- Azure services integration
- Authentication and authorization flows
- Sponsor or client portal integration
- Multi-system data synchronization
11.Dedicated Databricks Engineering Teams
You can extend your internal team with data engineers, backend engineers, frontend engineers, BI developers, cloud engineers, QA engineers, Power Platform developers, and solution architects who can support Databricks-based projects.
What we provide
- Databricks engineers
- Data engineers
- Python and SQL engineers
- Backend developers
- BI dashboard developers
- Power Platform developers
- QA and automation engineers
- Solution architects
- Project management support
Proven Databricks Case Study
These are not hypothetical use cases. Below are real Databricks projects that Vivasoft has delivered with actual client problems, real architecture, and measurable results.
Databricks-Powered Duplicate Prevention for CenExel
CenExel faced a critical problem – professional subjects enrolling in multiple clinical trials under different identities. It was threatening study integrity and regulatory compliance across North America, APAC, South America, and the EU.
Vivasoft engineered two integrated platforms: CTSdatabase and the CenExel Data Quality Program. We eliminated the risk while preserving complete subject anonymity. Scalable Azure Databricks ETL pipelines automate scientific, statistical, and operational data processing, enabling real-time decision-making at enterprise scale.
Multi-regional clinical research organization
80%
Faster participant screening time
60%
Reduction in manual data entry
50%
Reduction in operational costs
21 CFR
Part 11 & HIPAA/ GDPR compliant
Why Choose Vivasoft for Databricks?
There are many Databricks partners. Here is what distinguishes a mid-size specialist like Vivasoft from a large generalist integrator and why it matters for your project.
Full-stack Delivery Team
Solution architects, data engineers, ML engineers, Power Platform developers, frontend developers, and QA — all under one engagement. No subcontracting. The people who scope the work are the people who build it.
Assessment Before Commitment
We run a structured health assessment before any large implementation begins. You understand exactly what you are investing in, and why, before committing budget.
Clean Architecture Discipline
Production systems built on Clean Architecture and CQRS patterns — making platforms maintainable, testable, and extensible long after launch.
Long-term Strategic Partnerships
We do not hand off and disappear. The CenExel engagement began in 2023 and continues as an active, evolving platform with new capabilities shipping continuously.
Industries We Support with Databricks
Every industry on this list has one thing in common. More data than they can currently use. Vivasoft helps them change that on Databricks.
1. Healthcare & Clinical Research
Clinical trials, patient data, regulatory compliance, HIPAA/GDPR
2.SaaS & Software Platforms
Product analytics, usage data, ML-driven features at scale
3.E-commerce & Marketplaces
Customer behavior, inventory intelligence, demand forecasting
4.FinTech & Financial Services
Risk modeling, fraud detection, regulatory reporting
5.Logistics & Operations
Route optimization, supply chain analytics, operational BI
6.Enterprise AI & Analytics
GenAI, RAG systems, ML platforms at enterprise scale
Our Databricks Delivery Process
Frequently Asked Questions
What does a Databricks partner do?
Can Vivasoft help us migrate from a legacy data warehouse to Databricks?
Can you help with Unity Catalog setup and governance?
Do you provide dedicated Databricks engineers?
Can you optimize our Databricks cost and performance?
Yes. We can. We will conduct a structured environment audit covering cluster configuration, job scheduling, query performance, storage patterns, and compute waste. And we will deliver prioritized, actionable recommendations with measurable cost and performance outcomes.
How do we start a Databricks project with Vivasoft?
The fastest starting point is a 30-minute discovery call – book directly via our Calendly link. If you are not ready for a call, submit a health assessment request and our Databricks Solutions Lead will respond within one business day with a structured next step based on your current environment and goals.
Ready to Build on Databricks?
Vivasoft helps you to move from planning to production on Databricks. Work with a registered partner with real project experience and flexible delivery models.
