Official Databricks Brickbuilder Partner for autonomous migration and modernization.

Accelerate Your Databricks Journey with DataSwitch

DataSwitch elevates Databricks to self-driving agentic data engineering — a unified migration path, medallion architecture, no-code engineering and governed analytics on top of your Lakehouse investment.

Databricks Brickbuilder Specialization - Migrate & Modernize

20+Databricks engagements

155K+Objects migrated

70–90%Automation range

65%+Cost savings

Complement-firstDeterministic AICPU-onlyAir-gappedISO 27001

From friction to autonomous flow

Hover a platform gap to see precisely which autonomous agent resolves it.

Skill gap

Compute & token cost

Fragmented lineage

Inconsistent metrics

Manual semantics

Legacy lock-in

Platform Gaps

Select a gap to trace its resolution

Six critical barriers across migration, DBU optimization, lineage, and governed analytics.

Hover over a gap to see precisely which autonomous agent resolves it.

Platform Gaps

Select a gap to trace its resolution

Powered by MEDHA & Trident — private, air-gapped LLMs with zero token cost and zero code exposure.

Compete & complement

Contrast Databricks native capabilities with the expanded capabilities of the DataSwitch ecosystem.

Capability	DATABRICKS NATIVE	WITH DATASWITCH
ETL migration	Lakehouse Federation & partner accelerators (24+ fragmented tools)	✓PySpark & Spark SQL. Private LLM. Medallion re-engineering.
Code generation	Databricks Assistant (Chat-based, notebook-bound)	✓Visual / no-code for business users. Polyglot. Air-gapped.
Self-service	Databricks Genie (Needs metric definitions & context)	✓Auto-generates the metrics and governance layer Genie depends on.
Lineage	Unity Catalog (Databricks-bounded lineage)	✓Enterprise-wide across 15–30 tools. Full impact analysis.
Visual ETL	Delta Live Tables (DLT) (Code-centric declarative pipelines)	✓SwitchIE Lens → PySpark + Spark SQL + DLT pipelines.
Semantic layer	Unity Catalog Metrics & AI Functions (Manually authored)	✓Auto-generates OSI definitions. 10% → 80%+ coverage.
AI infrastructure	Cloud-hosted LLMs (DBRX / Model Serving) (DBU billing)	✓MEDHA / Trident: private, air-gapped, zero token cost, zero code exposure.

DataSwitch makes Databricks's own AI tools work better. More semantic definitions = more Genie = more DBU consumption.

THE DATABRICKS VALUE JOURNEY

From legacy modernization to full value realization

Six stages. One platform. Each stage maps to a DataSwitch product that removes a specific client barrier.

01 MIGRATE

Legacy Modernization

Informatica, DataStage, SSIS → PySpark & Spark SQL.

DS Migrate

02 ARCHITECT

Architecture Optimization

Medallion + Delta best practices — not lift-and-shift.

DS Migrate + Lens

03 EMPOWER

Business Enablement

No-code pipelines for users who can't use notebooks.

DS DataCitizen

04 GOVERN

Enterprise Lineage

Auto-discovered lineage across 15–30 tools, beyond Unity Catalog.

DS DataMaps

05 ACTIVATE

AI & Semantics

Auto-generates OSI definitions so Genie works estate-wide.

DS InsightCitizen

06 REALIZE

Value Realization

Already live? In-place remediation and self-service. No re-migration.

Full Platform

Green = Getting onto Databricks

Red = Maximizing Databricks

How DataSwitch addresses key Databricks modernization challenges

From reducing effort and risk to accelerating AI readiness, see exactly how the platform mitigates friction.

Challenge

Solution

Value

Databricks accelerators cover fragmented source systems.

DS Migrate automates migration to PySpark & Spark SQL.

Faster legacy modernization

Manual conversion and notebook rewriting slow delivery.

MEDHA & Trident automate remediation and validation.

Lower effort, reduced risk

Lift-and-shift Delta tables increase DBU compute costs.

DS Migrate + SwitchIE Lens optimize Databricks workloads.

Better performance & DBU efficiency

PySpark & Scala skill shortages delay projects.

DS DataCitizen enables governed no-code development.

Faster delivery, broader adoption

Limited lineage beyond the Unity Catalog boundary.

DS DataMaps provides enterprise-wide lineage.

Stronger governance & impact analysis

Lack of structured metrics reduces Genie adoption.

DS InsightCitizen auto-generates semantic layers.

Accelerates AI readiness

Business users depend on data engineers for notebooks.

DS InsightCitizen enables governed self-service analytics.

Faster business decisions

Multi-cloud environments require multiple pipelines.

SwitchIE Lens generates code for multiple platforms.

One design, multiple targets

Existing Databricks environments underdeliver ROI.

DataSwitch Platform optimizes architecture and AI adoption.

Higher utilization & ROI

Challenge

Databricks accelerators cover fragmented source systems.

Solution

DS Migrate automates migration to PySpark & Spark SQL.

ValueFaster legacy modernization

Challenge

Manual conversion and notebook rewriting slow delivery.

Solution

MEDHA & Trident automate remediation and validation.

ValueLower effort, reduced risk

Challenge

Lift-and-shift Delta tables increase DBU compute costs.

Solution

DS Migrate + SwitchIE Lens optimize Databricks workloads.

ValueBetter performance & DBU efficiency

Challenge

PySpark & Scala skill shortages delay projects.

Solution

DS DataCitizen enables governed no-code development.

ValueFaster delivery, broader adoption

Challenge

Limited lineage beyond the Unity Catalog boundary.

Solution

DS DataMaps provides enterprise-wide lineage.

ValueStronger governance & impact analysis

Challenge

Lack of structured metrics reduces Genie adoption.

Solution

DS InsightCitizen auto-generates semantic layers.

ValueAccelerates AI readiness

Challenge

Business users depend on data engineers for notebooks.

Solution

DS InsightCitizen enables governed self-service analytics.

ValueFaster business decisions

Challenge

Multi-cloud environments require multiple pipelines.

Solution

SwitchIE Lens generates code for multiple platforms.

ValueOne design, multiple targets

Challenge

Existing Databricks environments underdeliver ROI.

Solution

DataSwitch Platform optimizes architecture and AI adoption.

ValueHigher utilization & ROI

Engagement timeline

Accelerate time-to-value with a structured three-tiered proof and onboarding plan.

1–2 days

Discovery Workshop

A free, zero-commitment evaluation of your legacy estate, existing Databricks architecture, and projected value realization.

2–4 weeks

Proof of Technology

Sample and programmatically convert your live legacy code into validated PySpark & Spark SQL, demonstrating end-to-end lineage, pipeline generation, and data reconciliation.

ROI-positive

Production Engagement

Full DCOT (Deploy, Customize, Operate, Transfer) deployment using flexible product licensing or outcome-based targets, delivering raw standard PySpark & Spark SQL to guarantee zero vendor lock-in.

Answers before the workshop

DataSwitch automatically converts legacy queries into optimized, cloud-native PySpark and Spark SQL patterns with Delta Lake best practices — Z-ordering, liquid clustering, incremental loads, medallion architecture — preventing the DBU-burning overhead of basic lift-and-shift code migrations.

MEDHA and Trident are private, air-gapped LLMs running inside your boundary. They automate code conversion, PySpark refactoring, and validation without token billing costs or code exposure.

DataSwitch expands lineage beyond Unity Catalog across 15-30 enterprise tools. For Databricks Genie, DataSwitch automatically builds governed semantic layers and OSI metric definitions so Genie operates with rich business context estate-wide.

Supercharge Your Databricks Modernization with DataSwitch

Schedule a technical overview to see how MEDHA & Trident resolve complexity and accelerate workloads.