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Datacor, Inc. Tech Stack

Industry ERP and MES platform for process manufacturers and chemical distributors

Software Development Florham Park, NJ 201–500 employees Founded 1981 Privately Held
datacor.com LinkedIn

Datacor operates a 40-year-old ERP and manufacturing execution system (MES) business targeting process manufacturers, chemical distributors, and lab-heavy operations. The tech stack reveals a modernization in progress: SQL Server + .NET + Salesforce backbone paired with optimization solvers (OR-Tools, Gurobi, CPLEX) for production scheduling, plus emerging cloud infrastructure (AWS Lambda, RDS, CDK). Active projects span data lake architecture, LIMS/QC workflow automation, and mobile app expansion, while the hiring velocity is accelerating toward engineering roles—a signal the company is shifting from legacy maintenance toward platform modernization and cloud-native development.

Tech Stack 40 technologies

Core StackSQL Server MySQL PostgreSQL Salesforce .NET C# Jira AWS Terraform Python Go CloudFormation Smartsheet AWS Lambda AWS RDS Java SalesLoft WPF OR-Tools Gurobi CPLEX NET MAUI Xamarin.Forms Android iOS Bash AWS CDK Sage X3 LinkedIn Sales Navigator Salesforce Data Loader+3 more
AdoptingSalesloft HubSpot Marketo LeanData Outreach
ReplacingMicrosoft Access

What Datacor, Inc. Is Building

◆Challenges

  • Migrating legacy databases to modern platforms
  • Modernizing lab software
  • Ensuring astm compliance
  • Operational efficiency in refinery labs
  • Optimizing sales tool usage
  • Integrating sales tools
  • Outgrown legacy erp systems
  • Modernizing legacy architecture
  • Improving modularity
  • Optimizing end-to-end operations

▲Active Projects

  • Designing scalable data lake architectures
  • Industrial mobile applications
  • Implementing database monitoring and alerting solutions
  • Full-cycle implementations of baytek's lims/qc solutions
  • Configuring lims/qc workflows
  • Integrated demand generation campaigns
  • Abm programs
  • Migrating microsoft access databases to modern platforms
  • Sales tool integration
  • Ai-native cloud erp platform development

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering
8
Ops
2
Product
2
Marketing
1
Sales
1
Support
1

Seniority

Senior
10
Junior
2
Lead
1
Manager
1
Mid
1
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About Datacor, Inc.

Datacor is a privately held provider of ERP, CRM, and manufacturing execution software for process manufacturers, chemical distributors, and industrial operations. Founded in 1981, the company has built deep domain expertise in complex manufacturing workflows, lab compliance (ASTM standards, LIMS/QC), and supply chain visibility. The product line spans enterprise resource planning, warehouse and materials management, and lab information systems. Headquarters in Florham Park, NJ, with engineering and operations centers extending into Costa Rica. Current priorities center on migrating customers off legacy Microsoft Access and older ERP systems, modernizing lab software platforms, and expanding cloud-based SaaS delivery models.

HeadquartersFlorham Park, NJ
Company Size201–500 employees
Founded1981
Hiring MarketsUnited States, Costa Rica

Frequently Asked Questions

What tech stack does Datacor use?

SQL Server, PostgreSQL, MySQL, .NET, C#, Salesforce, AWS (Lambda, RDS, CDK), and optimization engines (OR-Tools, Gurobi, CPLEX). Mobile via Xamarin.Forms, NET MAUI, iOS, Android. Sales tools: Salesforce, SalesLoft, LinkedIn Sales Navigator.

What is Datacor working on?

Data lake and cloud architecture, industrial mobile applications, LIMS/QC workflow automation, legacy database migration (especially Microsoft Access), sales tool integration, and development of an AI-native cloud ERP platform.

How this profile is built

Datacor, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.