From hand-written models to self-driving transformation — the agents build the models, you approve the PR.

Maximize Your dbt Investment

DataSwitch elevates dbt to self-driving agentic data engineering — a unified path onto dbt, staging-to-marts architecture, no-code model authoring, and a governed semantic layer on top of your transformation layer.

20+dbt engagements

155K+Objects migrated

70–90%Automation range

65%+Cost savings

Complement-firstDeterministic AICPU-OnlyAir-GappedISO 27001

From friction to autonomous flow

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

Skill Gap

Warehouse Compute Cost

Lineage Stops at DAG

Inconsistent Metrics

Manual Semantics

Legacy Lock-in

dbt Platform Gaps

Select a gap to trace its resolution

Six critical barriers across skills, warehouse compute costs, lineage, and semantic layers.

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

dbt 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 and complement

DataSwitch makes dbt's own transformation layer work harder. More governed models = more Semantic Layer = more of your dbt investment realized.

Capability	DBT NATIVE	WITH DATASWITCH
Legacy onboarding	No ingestion or migration path; assumes SQL is already in the warehouse	✓Converts Informatica, DataStage, SSIS, and stored procs into dbt models and sources
Model authoring	SQL + Jinja, code-only, analytics-engineer-bound	✓Visual / no-code for business users, polyglot, air-gapped
Semantic layer	Semantic Layer / MetricFlow with manually authored YAML metrics	✓Auto-generates OSI metric definitions, 10% → 80%+ coverage
Lineage	The dbt DAG, dbt-model-bounded	✓Enterprise-wide across 15–30 tools, full impact analysis
Testing & quality	dbt tests, hand-written schema and data tests	✓Auto-generated validation and row-level reconciliation
Layering	Staging → intermediate → marts, structured by hand, project by project	✓SwitchIE Lens auto-re-engineers marts — not lift-and-shift
AI infrastructure	Cloud-hosted AI assist, public LLMs, per-seat / per-token	✓MEDHA / Trident: private, air-gapped, zero token cost, zero code exposure

DataSwitch makes dbt's own transformation layer work better. More governed models = more Semantic Layer = more of your dbt investment realized.

THE DBT 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

Converts Informatica, DataStage, SSIS, and stored procs to dbt models and sources.

DS Migrate

02 ARCHITECT

Architecture Optimization

Auto-engineers staging → intermediate → marts best practice. Not lift-and-shift.

DS Migrate + Lens

03 EMPOWER

Business Enablement

No-code model building for users who can't write SQL or Jinja. IT governs, business builds.

DS DataCitizen

04 GOVERN

Enterprise Lineage

Auto-discovered lineage across 15–30 tools, beyond the dbt DAG boundary.

DS DataMaps

05 ACTIVATE

AI & Semantics

Auto-generates OSI metric definitions so the Semantic Layer works estate-wide.

DS InsightCitizen

06 REALIZE

Value Realization

Already on dbt? In-place remediation, semantic activation & self-service. No re-migration.

Full Platform

Green = getting onto dbt

Orange = maximizing dbt

How DataSwitch Addresses Key dbt Modernization Challenges

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

Customer Challenge

DataSwitch Solution

Business Value

Legacy ETL has no native path onto dbt.

DS Migrate generates dbt models, sources, and YAML automatically.

Faster onboarding to dbt

Hand-writing models and tests slows delivery.

MEDHA & Trident automate model and test generation and validation.

Lower effort, reduced risk

Un-optimized models inflate warehouse credits.

DS Migrate + SwitchIE Lens optimize SQL and materializations.

Better performance & credit efficiency

SQL, Jinja, and Git skill shortages delay projects.

DS DataCitizen enables governed no-code authoring.

Faster delivery, broader adoption

Lineage stops at the dbt DAG boundary.

DS DataMaps provides enterprise-wide lineage.

Stronger governance & impact analysis

Sparse metric definitions limit Semantic Layer adoption.

DS InsightCitizen auto-generates semantic layers.

Accelerates AI readiness

Analysts depend on analytics engineers for every model.

DS InsightCitizen enables governed self-service analytics.

Faster business decisions

Multi-warehouse targets require re-written SQL.

SwitchIE Lens generates portable SQL and dbt for each target.

One design, multiple targets

Existing dbt projects underdeliver ROI.

DataSwitch Platform optimizes structure, tests, and semantics.

Higher utilization & ROI

Customer Challenge

Legacy ETL has no native path onto dbt.

DataSwitch Solution

DS Migrate generates dbt models, sources, and YAML automatically.

Business ValueFaster onboarding to dbt

Customer Challenge

Hand-writing models and tests slows delivery.

DataSwitch Solution

MEDHA & Trident automate model and test generation and validation.

Business ValueLower effort, reduced risk

Customer Challenge

Un-optimized models inflate warehouse credits.

DataSwitch Solution

DS Migrate + SwitchIE Lens optimize SQL and materializations.

Business ValueBetter performance & credit efficiency

Customer Challenge

SQL, Jinja, and Git skill shortages delay projects.

DataSwitch Solution

DS DataCitizen enables governed no-code authoring.

Business ValueFaster delivery, broader adoption

Customer Challenge

Lineage stops at the dbt DAG boundary.

DataSwitch Solution

DS DataMaps provides enterprise-wide lineage.

Business ValueStronger governance & impact analysis

Customer Challenge

Sparse metric definitions limit Semantic Layer adoption.

DataSwitch Solution

DS InsightCitizen auto-generates semantic layers.

Business ValueAccelerates AI readiness

Customer Challenge

Analysts depend on analytics engineers for every model.

DataSwitch Solution

DS InsightCitizen enables governed self-service analytics.

Business ValueFaster business decisions

Customer Challenge

Multi-warehouse targets require re-written SQL.

DataSwitch Solution

SwitchIE Lens generates portable SQL and dbt for each target.

Business ValueOne design, multiple targets

Customer Challenge

Existing dbt projects underdeliver ROI.

DataSwitch Solution

DataSwitch Platform optimizes structure, tests, and semantics.

Business ValueHigher utilization & ROI

Engagement Timeline

Accelerate your 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 dbt project, and projected value realization.

2–4 weeks

Proof of Technology

Sample and programmatically convert live legacy code into validated dbt models and tests, demonstrating end-to-end lineage, DAG generation, and data reconciliation.

ROI-positive

Production Engagement

Full DCOT (Deploy, Customize, Operate, Transfer) deployment using flexible product licensing, delivering raw standard dbt code for zero vendor lock-in.

Frequently Asked Questions

DataSwitch converts legacy queries into optimized dbt models with the right materializations — incremental loads, appropriate clustering and partitioning, and clean staging-to-marts layering — preventing the credit-burning overhead of full-refresh, lift-and-shift model migrations.

MEDHA and Trident are private, air-gapped LLMs running inside your boundary. They generate and remediate dbt models, tests, and YAML from legacy structural patterns without any token billing costs and with zero risk of code exposure to public models.

DataSwitch spans the entire enterprise to capture lineage beyond the dbt-managed DAG, supporting 15–30 tools. For the Semantic Layer, it automatically authors governed metric definitions that raise metadata-driven AI accuracy to 80% or more.

Ready to Maximize Your dbt Investment?

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