TRAVINTO / X2X CODE CONVERTER

Convert the logic.
Preserve the business intent.

Assess legacy SQL, ETL, BI expressions, application code, and automation in one modernization journey. Use deterministic mappings for defined patterns and agentic assistance for ambiguous logic, with tests and engineering acceptance throughout.

Compare approaches ↓Discuss your requirements ↗

t. / X2X Code ConverterWORKSPACE PREVIEW

ASSET / FINANCE_TRANSFORM.SQL

Source intent.
Reviewable proposal.

SOURCE / ORACLE SQL

SELECT NVL(amount, 0)
FROM finance_events;

TARGET SQL / DRAFT

SELECT COALESCE(amount, 0)
FROM finance_events;

REVIEW REQUIRED

Check numeric types, null behavior, and business outputs in the target environment.

Demonstration code · no conversion is executed here.

X2X CODE CONVERTER / MODERNIZATION WORKLOADS

Different source assets.
Specific engineering paths.

Conversion starts by understanding what an asset does, what it depends on, and how its behavior will be accepted. The target patterns below are options to assess, not a universal compatibility matrix.

SQL & stored logic

Oracle PL/SQL or Teradata SQL → reviewed target SQL patterns

Review functions, types, joins, procedural flow, and transaction behavior. Agree target engine versions and validate representative business outputs.

ETL & ELT workloads

PowerCenter, DataStage or SSIS → proposed SQL, dbt or Spark workflows

Start from permitted exports and dependency metadata. Reconstruct transformations, schedules, parameters, rejects, and recovery behavior before engineering acceptance.

BI & reporting logic

Legacy report expressions → a reviewed target semantic design

Assess measures, dimensions, filter context, and access rules. Use X2X BI Migrator for the broader report inventory, semantic-model, visual, and business-acceptance workstream.

Application & mainframe modernization

COBOL, PowerBuilder or application repositories → a scoped modernization plan

Assess record layouts, interfaces, transactions, framework behavior, and build context. Target Java, .NET, Python, or other approaches only after architecture review; no universal language-to-language conversion is implied.

LEGACY SOURCE & ARTIFACT CATALOG

100 source technologies.
Find your starting point.

Search the source technology, language, or product name, then narrow by workload. Both legacy and current platforms are included because modernization scope often spans multiple generations of technology.

20SQL & database code25ETL, ELT & data integration20BI, reporting & semantic logic25Application & mainframe code10Scripts, scheduling & automation

Find a legacy sourceWorkload category

100 of 100 sources

Entries identify technologies and artifacts for assessment, not 100 certified automatic converters. Product versions, export formats, supported patterns, custom extensions, and source-to-target routes require confirmation.

What source artifacts should you provide?

SQL & database code

Procedures, functions, views, SQL scripts, and schema definitions.

ETL, ELT & data integration

Exported mappings, packages, job graphs, expressions, and orchestration metadata.

BI, reporting & semantic logic

Calculations, semantic definitions, queries, report expressions, and load scripts.

Application & mainframe code

Authorized source repositories, libraries, copybooks, interfaces, and build definitions.

Scripts, scheduling & automation

Scripts, schedules, job definitions, dependencies, and restart or failure policies.

PRODUCT FEATURES & ENGINEERING SCOPE

Understand. Convert.
Validate. Review.

Scope the complete workflow, from source discovery to accepted changes. Confirm the available implementation, supported patterns, and integrations with Travinto.

01Estate discovery

Inventory permitted code, exported metadata, packages, repository versions, and build context. Classify assets by technology, complexity, criticality, and missing dependencies.

02Dependency & impact analysis

Trace calls, datasets, shared routines, schedules, parameters, and downstream consumers. Record unresolved dynamic dependencies and runtime configuration separately.

03Intermediate representation

Define a reviewable representation of source operations, types, control flow, and dependencies where parsing is applicable. Retain links back to the original asset and source location.

04Deterministic conversion rules

Apply approved, versioned mappings to supported syntax and transformation patterns. Keep rule selection, unsupported constructs, and configuration traceable. Repeatability assumes the same inputs, toolchain, rules, and settings.

05Agentic interpretation

Use approved context to explain business intent, propose translations, and identify ambiguities. Keep confidence, evidence, and open questions visible; a generated explanation is not acceptance evidence.

06ETL workflow reconstruction

Assess expressions, joins, lookups, aggregations, slowly changing dimensions, parameters, rejects, restartability, and orchestration. Propose target job structures without assuming direct feature parity.

07BI expression & semantic review

Map metric grain, filter context, aggregations, time intelligence, security, and calculation dependencies. Validate business measures separately from visual layout or dashboard appearance.

08Application modernization planning

Assess modules, APIs, transaction boundaries, framework dependencies, security controls, and external interfaces. Separate behavior-preserving code proposals from architectural redesign.

09Behavior & data-type checks

Review null handling, precision, date/time behavior, encoding, collation, ordering, error handling, and transaction semantics. Preserve domain rules through target-specific tests.

10Test preparation & validation

Prepare representative regression cases, expected outputs, compile or build checks, and reconciliation specifications. Runtime tests need a configured target environment and accountable reviewers.

11Reviewable change packages

Scope diffs, mapping explanations, dependency findings, unsupported-pattern registers, test evidence, and review comments. Confirm repository and delivery-pipeline integration before implementation.

12Controlled delivery & governance

Agree rule and model versions, access boundaries, secret handling, audit requirements, approval gates, release sequencing, and rollback responsibilities. This website does not execute code conversion or production changes.

CODE CONVERSION LIFECYCLE

Inventory assets
Resolve dependencies
Map source intent
Prepare target drafts
Validate behavior
Review & release

Preserve source versions and mapping evidence. Keep unsupported constructs visible and require independent validation before accepting generated output.

X2X BI Migrator X2X Data Migrator X2X Analyzer X2X Agentic Validator

TWO APPROACHES / ONE ACCEPTANCE STANDARD

Rules for repeatability.
Agents for assisted reasoning.

Select the approach by task. Known transformations and policy checks suit explicit rules; incomplete context and complex exceptions may benefit from agent assistance.

RULES & CONTROLLED EXECUTION

Deterministic solution

Parse source definitions into a structured representation and apply versioned source-to-target conversion rules.
Use explicit type, function, join, null-handling, and date mappings for supported constructs.
Generate repeatable output and regression checks; stop on unsupported syntax rather than silently guessing.

CONTEXT & REVIEWABLE PROPOSALS

Agentic solution

Trace dependencies across selected code, metadata, and approved business documentation.
Propose target-code drafts, explain reasoning, and identify missing context or unsupported patterns.
Suggest tests and fixes for engineer review; never treat generated code as proof of equivalent behavior.

Decision and execution boundary

Approved rule execution can be repeatable for the same versioned inputs and settings. Agent-generated proposals can vary and must pass the same regression and business acceptance gates.

From approved inputs
to an accepted outcome.

X2X Code Converter / shared execution model

Approved context

Versioned inputs, identity, scope

Rules or agent assistance

Explicit mappings or reviewed proposals

Independent checks

Tests, reconciliation, exception evidence

Accountable decision

Accept, revise, reject, or escalate

Use representative cases to establish an acceptance baseline. Record input versions, rule or model configuration, failed checks, reviewer decisions, and recovery requirements.

X2X CODE CONVERTER / 10 USE CASES

Find your requirement.
Understand the work.

Explore ten scenarios specific to X2X Code Converter. Explore a case-study card to see the business challenge, deterministic work, agentic assistance, and acceptance evidence to scope for your estate.

Warehouse SQL conversion: A reporting estate is moving to a different analytical SQL engine.

01SQL MODERNIZATIONIndustryBanking & financial servicesExample marketIndiaWarehouse SQL conversionA reporting estate is moving to a different analytical SQL engine.Explore case study