As AI moves into clinical, claims, and revenue cycle work, more healthcare organisations are moving their data onto unified data and AI platforms like Databricks.
Choosing Databricks as the new platform is easy. But finding a good migration partner, a firm that can move your claims and clinical data without exposing patient records or breaking the reports your teams rely on, is much harder. One wrong access rule can turn into a HIPAA breach report. One broken pipeline can show wrong claims and revenue totals on your finance dashboards.
To help you avoid both, the list below ranks ten Databricks migration partners for healthcare. Each entry covers the firm’s healthcare track record, migration tools and PHI controls, and the kind of organization it suits best.
Top 7 Databricks Migration Partners for Healthcare Firms
The editorial team reviewed many Databricks migration service providers, by evaluating their public website and Databricks service pages, then compared the firms on healthcare focus, migration approach, PHI and HIPAA controls, Databricks-certified engineers, engagement model and support after cutover.
The seven firms below move EHR, claims and clinical data to Databricks. Each entry covers the firm’s approach to PHI controls, code conversion and AI work after the migration.
| Rank | Partner | Best For | Delivery Model |
| 1 | Bacancy Technology | Providers and payers who want a custom migration with PHI controls settled before cutover | Dedicated team or FDE pod |
| 2 | Accenture | National payers and hospital groups shutting down several legacy systems in one program | Global SI program teams |
| 3 | Slalom | Health systems that want consultants in the room with their own data team | Local US offices |
| 4 | CitiusTech | Migrations driven by HL7 and FHIR interface feeds | Healthcare-only engineering firm |
| 5 | Perficient | Payers still running large Hadoop clusters | Elite partner with an HLS practice |
| 6 | Koantek | A fixed exit date where automated code conversion sets the pace | Databricks-only partner with FDEs |
| 7 | Kanerika | Mid-size providers converting Informatica jobs on the Microsoft stack | Accelerator-led mid-size firm |
1. Bacancy Technology
Bacancy Technology is an AI agent and enterprise software development company that serves healthcare and other regulated industries across the USA, and globally, and holds ISO/IEC 27001:2022 certification.
The company’s Databricks engineers move Hadoop clusters, data warehouses, ETL jobs, and cloud workloads onto Databricks for hospitals, payers, and health tech companies, and develop analytics, machine learning models, and AI agents on the migrated data.
Key Features:
- HIPAA Compliance Built Into the Migration Plan: Maps PHI access rules into Unity Catalog during the assessment, using HIPAA controls the team already runs in production healthcare systems.
- HL7, FHIR, DICOM and ICD-10 Experience: Engineers move EHR feeds, imaging metadata and coded claims to Databricks without losing their clinical meaning.
- Dedicated Engineering Team With a Named Lead: Engineers follow the client’s EHR, cloud and security rules and work during US, UK or Australian business hours.
- AI Agents for Revenue Cycle and Clinical Work: After migration, the same team builds AI agents for prior authorization, denial management, and medical coding that connect to EHRs and payer portals.
Best For: Providers, payers, and health tech companies that want one engineering team to migrate their data to Databricks and then build AI agents on it, with the full source code and data staying in their own cloud account.
2. Accenture
Accenture is a global consulting and technology services firm, and Avanade is the Accenture company that delivers Microsoft-based work. Accenture’s Databricks teams run large healthcare migration programs, while Avanade handles Azure Databricks builds for hospitals and health systems.
Key Features:
- Healthcare Data Pipelines on Medallion Architecture: Accenture runs clinical data operations on Databricks with healthcare-specific ETL frameworks.
- GenAI-Assisted Legacy Migration: Avanade uses machine learning and generative AI to convert legacy healthcare systems into Databricks SQL and Unity Catalog.
- Agent Framework for Coverage and Eligibility: Accenture builds healthcare agents on Lakebase, Databricks Apps and Unity Catalog, starting with coverage and eligibility checks.
Best For: National payers and large healthcare systems managers that want one firm to handle strategy, migration, security, and AI agents across many legacy systems.
3. Slalom
Slalom is a business and technology consulting firm with local offices across the US and abroad. Slalom’s Databricks teams work on site with provider, payer, and health tech data teams to modernize platforms and set up governance.
Key Features:
- Patient Consent and Privacy Controls: Slalom’s prebuilt Digital Patient 360 solution on Databricks automates patient consent checks, audit logging, and governed data sharing.
- Unity Catalog Governance Accelerator: Provides a short workshop and accelerator to map sensitive data, set field-level permissions, and apply tags in bulk.
- Epic Clarity Data Movement: Moves Epic Clarity EHR data through the Fivetran Epic Clarity connector into cloud platforms such as Databricks.
Best For: Health systems and academic medical centers that want consultants on site with their own data engineers through the migration.
4. CitiusTech
CitiusTech is a technology services company in Princeton, New Jersey, that serves organizations only in healthcare and life sciences. CitiusTech’s Databricks teams migrate payer, provider, and MedTech data to Databricks and build analytics and AI on the migrated data.
Key Features:
- Automated PHI Classification: An AI-driven migration accelerator scans source systems for PHI during assessment and recommends Unity Catalog tagging and masking before data moves.
- Healthcare Semantic Layer: Prebuilt clinical data models, HL7 and FHIR mappings and HIPAA control patterns shape the target lakehouse.
- Healthcare Insight Agents: Agents answer member, revenue cycle and Stars questions and run on the client’s own infrastructure
Best For: Payers and providers whose migration depends on HL7 and FHIR mapping and on quality programs such as HEDIS and Stars.
5. Perficient
Perficient is a US digital consulting and IT services firm with dedicated healthcare payer and provider teams. Perficient’s Databricks engineers move Hadoop and warehouse workloads to Databricks and design the Unity Catalog setup for governance.
Key Features:
- AI-Assisted Hadoop Migration: Perficient’s IngestIQ accelerator converts Oozie, Airflow and NiFi workflows into a readable format for engineers to review, then generates Spark, Delta and Unity Catalog code once they approve each workflow.
- Engineer Approval at Each Step: Engineers sign off every generated workflow, then test it against Hadoop with differential tests and parallel runs before cutover.
- Payer FHIR and EDI Modernization: Perficient’s payer teams update FHIR, EDI and API data flows alongside the platform move.
Best For: Payers retiring large Hadoop clusters who want an engineer to review and approve every converted workflow.
6. Koantek
Koantek is a systems integrator that works only on Databricks, with offices in Mesa, Arizona, and India. Koantek’s engineers convert legacy warehouses, ETL tools, Hadoop and SAS code to Databricks and build governed AI agents on the result.
Key Features:
- LLM-Based Code Conversion: Koantek’s X2D accelerator maps the source systems with Databricks Lakebridge, then uses large language models to rewrite legacy SQL and ETL code into Spark SQL, PySpark and Lakeflow.
- Batch Migration With Rollback Plans: After the pilot, engineers move workloads in planned batches and test each one against live claims and clinical reports before cutover, with a rollback plan for every batch.
- Preset HIPAA Controls for AI Agents: Ascend AI, Koantek’s framework for building AI agents on Databricks, applies ready-made Unity Catalog and AI Gateway access rules to agents that handle PHI, such as clinical assistants.
Best For: Health organizations with a fixed exit date that want automated code conversion and a governed path into PHI-aware AI agents.
7. Kanerika
Kanerika is a data and AI services firm in Austin, Texas. Kanerika’s engineers use FLIP, the company’s own migration platform, to convert Informatica PowerCenter and Alteryx workflows to Databricks for providers, payers and health tech companies.
Key Features:
- No Production PHI During Conversion: FLIP runs on the client’s own servers and reads only pipeline metadata, so patient records never reach the conversion tool.
- Parity Testing Against Live Jobs: Converted pipelines run beside the live jobs, and engineers check claims, billing and clinical outputs before sign-off.
- Clinical Documentation Agents: Kanerika builds agents for patient data processing and clinical documentation on Databricks, using MLflow and Delta Lake.
Best For: Providers and payers with large Informatica or Alteryx workloads that want conversion to run without production PHI leaving their environment.
How to Choose the Right Databricks Migration Partner for Your Organisation
The right choice amongst these Databricks migration partners depends on the size of your organisation, the systems you are moving away from, and what you plan to build on Databricks after the migration.
- By Organisation Type
If your organization is a national payer or a large health system with many legacy platforms to retire, Accenture brings the program capacity that work requires. If your data team wants consultants on site through the migration, Slalom works that way by default. If you are a mid-size provider, payer or health tech company that wants one engineering team for both the migration and the AI agents after it, Bacancy fits that model.
- By Source System
If you are retiring Hadoop clusters, Perficient and Bacancy both have tooling and experience for that move. If your pipelines run on Informatica PowerCenter or Alteryx, Kanerika and Bacancy Technology both convert those workflows to Databricks. If you face a fixed exit date on a legacy warehouse, Koantek automates most of the code conversion. If your data depends on HL7 and FHIR feeds, CitiusTech builds those standards into the migration, and if you run Epic Clarity, Slalom moves that data through the Fivetran connector.
- By What Comes After the Migration
If you plan AI agents for prior authorization, denial management or medical coding, Bacancy builds them on the migrated data with the same engineering team. If your agents will handle PHI and you want preset HIPAA controls, Koantek provides them through Ascend AI. If you need agents for payer member and Stars questions, CitiusTech offers them as part of its Healthcare Insight Agents.
Before signing with any partner, ask two questions:
- How will the team prove that claims, clinical and finance reports match the old system before cutover?
- Which HIPAA steps, such as setting up the compliance security profile and signing a BAA for PHI access, will the partner handle, and which will stay with your team?
Get both answers in writing before the first table moves to Databricks, so the contract shows who owns PHI protection and report accuracy if anything goes wrong after cutover.
