3X DATA Engineering: Pricing, Free Demo & Features

Last Updated Jul 6, 2026

Overview

3X DATA Engineering builds AI-powered data engineering accelerators that help enterprise teams modernize databases, ETL, and cloud platforms faster. While its extensive capabilities may require an initial learning period, the pre-built accelerators, custom-built options, and advisory support keep the work focused. Overall, it fits complex modernization projects efficiently.

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Starting Price

Custom

3X DATA Engineering Specifications

Smart Data Discovery
Automation
Predictive Capabilities
Trade-Off
Multi-Language Support
Context Awareness
Natural Language Dialogue
Self-Service Dashboards
Text to Speech & Speech to Text
Visual Recognition

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What Is 3X DATA Engineering?

3X DATA Engineering is an Artificial Intelligence (AI) powered data engineering platform for enterprises that need to modernize legacy systems, organize metadata, and move data work to cloud environments. It features several purpose-built AI-driven modules or ‘Accelerators’ to speed up data engineering and modernization projects. Its ‘Reverse Engineer’ product helps teams map complex databases and ETL paths, reducing manual discovery work. ‘Metadata Intelligence’ turns undocumented tables into usable catalogs for planning and analysis. The platform also includes ‘Code Conversion,’ ‘Ask Data,’ ‘Forward Engineer,’ ‘Synthetic Data,’ and advisory services for different modernization needs.

What Is 3X DATA Engineering Best For?

The software is best known for its ‘3X Code Conversion’ accelerator, which helps enterprises move legacy code to modern cloud platforms in a fraction of the usual time. It goes beyond simple code translation because it understands underlying business logic before generating new code. The software can process thousands of code objects in a single run and automatically checks the results for errors before deployment. It also creates documentation and flags issues that need human review, reducing the amount of manual work involved in large migration projects.

How Much Does 3X DATA Engineering Cost?

The software’s pricing is estimated to start at $20,000/project. Actual costs may vary depending on data volume, modules selected, and other factors.

Additionally, users may incur potential extra costs. The following figures are also estimates and may vary depending on requirements and provider terms.

Initial setup and environment configuration: $10,000–$50,000+
Employee training and certification: $5,000–$30,000+
Additional custom development requests: $20,000–$200,000+
Ongoing advisory and managed support: $5,000–$25,000+/month
Change management and user adoption programs: $10,000–$50,000+
Additional data source integrations: $10,000–$75,000+
Extended testing and validation services: $10,000–$50,000+
Post-migration optimization services: $15,000–$100,000+
Dedicated technical account management: $2,500–$15,000+/month

Users generally view pricing as an enterprise-level investment rather than a low-cost subscription. While the estimated costs can be substantial, businesses often see value in the potential time savings and faster migration projects. However, smaller organizations may find the overall implementation expenses difficult to justify.

Request a personalized 3X DATA Engineering pricing quote for your business today.

Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary.

3X DATA Engineering Integrations

The vendor has not provided details about third-party integrations for this software.

How Does 3X DATA Engineering Work?

Here’s a step-by-step guide into how users can navigate the software:

Log in to the platform and select a modernization, migration, or greenfield project
Connect the source systems or provide data feeds and business objectives
Run an assessment to inventory assets, extract metadata, and map dependencies
Review the complexity scores and prioritize workloads
Build the target architecture and generate the implementation roadmap
Generate target data models, ETL pipelines, and converted sample code
Review the deliverables, complete the handover process, and begin implementation with your team

You can also schedule a free 3X DATA ENGINEERING demo to see its end-to-end capabilities.

Who Is 3X DATA Engineering For?

3X DATA Engineering is well-suited for data engineering leaders, data engineering teams, and system integrators in a wide range of industries and sectors, including:

Fintech
Private equity
SaaS
Healthcare

3X DATA Engineering Use Cases

Based on our analysis of 3X DATA Engineering's current capabilities, we have identified several scenarios where this software works well:

Consulting Firms That Need A Repeatable Delivery Process

3X DATA Engineering is a good fit for consulting firms and system integrators that handle multiple client projects at the same time. Large teams often struggle when every architect or consultant follows a different approach. The platform helps establish a consistent way to analyze systems and prepare migration plans. Its automated assessment capabilities help teams quickly identify system dependencies, data complexity, and potential migration challenges. This creates a shared framework that teams can reuse across future projects instead of rebuilding their process every time.

Private Equity Firms Assessing Technology Before An Acquisition

Private equity firms can also benefit when they need a quick understanding of a company's data landscape before closing a deal. Traditional assessments may take weeks and depend heavily on interviews with internal teams. 3X DATA Engineering is better suited for situations where decision-makers need evidence quickly. It can uncover dependencies, estimate migration effort, and provide a clearer picture of future integration work.

Organizations With Legacy Systems Nobody Fully Understands

This software is particularly useful when businesses are running old databases that have little or no documentation. In many companies, the people who built those systems have already left. Teams are then forced to spend months trying to understand how everything connects before they can start a migration project. 3X DATA Engineering reduces the discovery phase by automatically extracting information from existing systems and converting it into documentation that teams can use for migration planning.

Businesses Seeking A Unified Customer View

Companies that want a unified view of their customers are another strong fit. Customer information is often scattered across sales, marketing, support, and transaction systems that were never built to work together. The challenge is usually not collecting data but organizing it in a way that remains useful over time. 3X DATA Engineering helps teams build a reliable foundation before analytics and reporting work begins. It brings together data from multiple customer touchpoints and creates a governed data model for business reporting and decision-making.

Is 3X DATA Engineering Right For You?

Teams struggling with large-scale data modernization projects, lengthy migration timelines, or repetitive engineering tasks may find 3X DATA Engineering a suitable fit. The platform combines AI-driven automation with expert-led advisory services that help organizations identify opportunities to reduce manual effort and make better technology investment decisions before committing significant resources. With a team of 70+ data engineers and 10+ accelerators, it is particularly well-suited for enterprise data transformation initiatives. It also follows industry-standard security practices, including encryption, role-based access controls, security monitoring, and employee security training.

Still doubtful if 3X DATA Engineering software is the right fit for you? Connect with our customer support staff at (661) 384-7070 for further guidance.

3X DATA Engineering Features

Microsoft Fabric Migration Planning

3X DATA Engineering features an AI-powered framework that analyzes legacy data estates by examining tables, stored procedures, ETL jobs, dependencies, and business logic before generating Microsoft Fabric migration blueprints. It also produces architecture recommendations, object-level complexity scores, code conversion outputs, and migration roadmaps, giving teams a clearer foundation for planning large-scale platform transitions.

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Multi-Modal Synthetic Data Generation

The platform generates statistically accurate synthetic datasets from seed analysis across JSON, CSV, relational databases, PDFs, and medical images. It preserves data relationships and structural logic while applying privacy enforcement and validation checks throughout the generation process. This can help teams access realistic datasets for testing and data sharing without exposing production data.

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Schema Knowledge Graph Querying

The software’s ‘3X Ask Data’ reads database schemas, tables, columns, constraints, and relationships to build a live knowledge graph that grounds plain-English questions in real data paths. It also enriches metadata, supports multi-turn conversations, and connects to databases, spreadsheets, and APIs in a read-only environment. It helps teams answer data questions with fewer manual query requests.

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Data Platform Design

The platform analyzes APIs, files, schemas, DDLs, and KPI requirements to generate layered data platform designs with architecture models, metadata, DDL, ETL code, and implementation blueprints. It also maps dependencies, infers metadata, and applies Medallion, Data Vault, Kimball, or hybrid patterns across supported platforms. This can help reduce manual architecture and modeling work during greenfield data platform projects.

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Pros And Cons of 3X DATA Engineering

A quick look at 3X DATA Engineering's strengths and weaknesses to
help you decide if it's the right fit

Pros

Supports much faster data platform planning and design
Migration blueprints are generated without lengthy workshops
Gives practical architecture recommendations for modernization projects
Enables significant reduction in manual discovery efforts
Provides quick understanding of complex legacy environments

Cons

Feature compatibility can vary across categories
Documentation gaps may hinder user workflows
Customer support times may vary during peak hours

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Frequently Asked Questions

Quick answers to common questions to help you better understand the product, features, and services.

Does 3X DATA Engineering have a mobile app?

No, 3X DATA Engineering does not offer a mobile app.

Who are the typical users of 3X DATA Engineering?

3X DATA Engineering is designed for data engineering leaders, data teams, and system integrators across various industries. It is particularly suitable for organizations in sectors such as fintech, private equity, SaaS, and healthcare.

What types of 3X DATA Engineering price plans are available?

The platform’s pricing starts at an estimated $20,000/project, though actual costs may vary depending on factors such as data volume, selected modules, and specific project requirements. Contact us to request a personalized 3X DATA Engineering cost quote based on your institution's requirements.

Does 3X DATA Engineering offer an API?

No, 3X DATA Engineering does not offer an API.

What language does 3X DATA Engineering support?

The software supports English only.

What level of support does 3X DATA Engineering offer?

The platform provides support via ticketing, email, phone, and FAQs.

What other apps does 3X DATA Engineering integrate with?

Information about third-party integrations has not been specified by the vendor.