Hire the Best Unify SQLBase Specialists

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Jason S.

Erskine Park, Australia

$50/hr
5.0
12 jobs

I’m a senior full-stack software developer with more than 30 years of professional development experience and deep expertise across the Microsoft technology stack, modern web development, APIs and databases. My current development work spans .NET/C#, React, TypeScript, Node.js, REST APIs, SQL Server and cloud-based applications. I’m comfortable working across an entire solution — from database design and backend services through to frontend applications, integrations, debugging, performance optimisation and deployment. My experience includes: - C# and Microsoft .NET - React, TypeScript and JavaScript - Node.js - REST APIs and backend services - Microsoft SQL Server and relational database design - SQL performance tuning and optimisation - Web and desktop application development - Legacy application maintenance and modernisation - System integrations - Troubleshooting complex production issues - Software architecture and technical design I have worked with Microsoft SQL Server since the 1990s and have particularly strong database skills, including data modelling, complex SQL, performance analysis and query optimisation. One of my strengths is being able to quickly understand an unfamiliar application or codebase, identify the real problem and deliver a practical solution without unnecessary complexity. I use Upwork selectively. I’m not here to chase as many projects as possible. I enjoy taking on interesting technical problems, working with different technologies, expanding my skills and building long-term relationships with good clients. That means when I take on a project, I take ownership of the outcome. I communicate clearly, deliver what I commit to, and care about leaving the software in a better state than I found it. My Upwork history and client reviews reflect both the quality of my technical work and the way I work with people. If you have a difficult development problem, an application that needs improving, an API or integration to build, a database that needs attention, or an existing system that needs an experienced developer to make sense of it, I’d be happy to discuss it.

  • .NET Framework
  • Microsoft SQL Server
  • ASP.NET MVC
  • ASP.NET
  • Visual Basic
  • RESTful API
  • JavaScript
  • Desktop Application
  • Microsoft Azure
  • .NET Core
  • AWS Development
  • React
  • TypeScript
  • PostgreSQL
  • GraphQL
Abhinav K.

New York, New York

$75/hr
4.9
74 jobs

I build MVPs that are production-ready, and ship faster than traditional dev cycles. As a Lovable.dev, Replit Base44 Top-Rated Freelancer on Upwork with 100% Job Success, I help founders go from AI-driven prototypes to revenue-ready apps with Lovable + Supabase, Replit, Bolt Base44 or Cursor. As an AI Engineer and Full Stack Developer with 13+ years of experience transforming complex ideas into market-ready products. I specialize in 0-to-1 launches, having built scalable backend systems for SaaS, payments, fintech, and consumer applications. - Expert in AI integration and modern development with Lovable, Replit, Bolt and Cursor - Full-stack mastery: ReactJS, NodeJS, TypeScript, Java, HTML/CSS3, Supabase, Postgres, Mongo, NoSql - Proven track record launching MVPs that scale from startup to enterprise - End-to-end project ownership with transparent communication I build what’s lovable to clients: • Lovable SaaS MVPs (not Figma mocks that never ship) • Lovable AI tools with GPT + multi-model reasoning • Lovable CRMs that auto-nurture leads • Lovable internal systems (no more dev tickets, just results) My stack? Pure lovable synergy: Lovable.dev (UI & rapid SaaS scaffolding) Supabase (real-time DB, auth, edge functions) Make (automation + integrations) Relevance.ai (AI agents & workflows) Framer (UX polish & storytelling) Hire me if you want: → Systems that feel production ready to users and scale silently → AI that works today (not "someday") → Zero micro-management. Just delivering results, fast. I’m ideal for AI product owners/CEOs, SaaS founders, agencies & AI teams who demand high level execution - not just code. Let’s make your vision lovable. Skills & Expertise Lovable Website Development User Experience Design Responsive SaaS Design UI/UX Wireframing & Prototyping Typography, Color Theory, Layout, Grid Systems Mobile-First & Cross-Browser Compatible Design Animation, Microinteractions, Parallax & Scroll Effects Branding, Visual Identity, Illustrations, Custom Icons A/B Testing, Conversion Optimization, SEO Basics Frontend Development Next.js / React (via Lovable exports) TailwindCSS for scalable design systems Supabase Auth + DB + Edge Functions API integrations (Stripe, Twilio, OpenAI, Resend) AI-Enhanced Workflows AI Copywriting & Prompt Engineering (OpenAI, Claude) Conversational UI (AI chat/assistants) Data Visualization & Analytics Dashboards Automated pipelines (Make, Supabase events) Design Thinking, Persona Creation, User Flows, Storyboards Keywords: Lovable, Lovable.dev, Lovable developer, Lovable expert, Lovable MVP, Lovable app builder, Lovable bug fix, Replit, Replit developer, Replit agent, Bolt, Bolt.new, Bolt.new developer, Base44, Base44 developer, v0, v0.dev, Cursor, Cursor AI, vibe coding, vibe coder, AI MVP builder, AI app developer, AI-powered web apps, Supabase, Supabase integration, Supabase auth, full-stack AI apps, SaaS development, startup MVP, MVP development, no-code to production, rapid prototyping, AI prototyping, Stripe integration, API integration, React, Next.js, TypeScript, Tailwind CSS, responsive design, UI/UX design, web app development, mobile-first design, dashboard development, admin panel, user authentication, real-time database, edge functions, serverless, Vercel deployment, production-ready apps, scalable web apps, OpenAI integration, Claude integration, AI automation, workflow automation, custom web applications, client portals, SaaS platforms, fintech apps, healthcare apps, e-commerce apps, landing pages, conversion optimization, cross-browser compatibility, Figma to code, design to development, full-stack developer, AI engineer, prompt engineering

  • Minimum Viable Product
  • AI Development
  • AI Platform
  • SaaS Development
  • Supabase
  • PostgreSQL
  • MongoDB
  • TypeScript
  • AI Marketplace
  • React
  • Full-Stack Development
  • JavaScript
  • NodeJS Framework
Alberto Ezequiel V.

Buenos Aires, Argentina

$45/hr
5.0
2 jobs

With over 15 years of experience in enterprise software and infrastructure, I specialize in Azure DevOps, full-stack development using C# / .NET Core and React, and data engineering using Microsoft Fabric, possessing expertise particularly specialized in the healthcare industry. At the intersection of cloud architecture, backend development, and enterprise data, I support healthcare organizations in modernizing legacy systems, building compliant cloud infrastructure, and delivering scalable and reliable data pipelines. I design and implement end-to-end CI/CD pipelines, microservices architectures, and cloud infrastructure based on Azure using Terraform and Bicep. On the development side, I build robust C# / .NET Core backend systems integrated with React frontends and REST APIs. In data engineering, I leverage Microsoft Fabric and Synapse Analytics to deliver enterprise-grade ETL processes and large-scale reporting solutions. My database expertise spans Oracle, SQL Server, and Azure SQL, and I possess experience in design, migration, and performance optimization. Specifically in the healthcare sector, I have extensive practical experience with HL7, FHIR, EHR system integration, and HIPAA-compliant architecture design. Clients choose to work with me because I understand both the technical and operational complexities of the enterprise healthcare environment. I provide ready-to-use, complete solutions built on security, compliance, and scalability, with every process documented. I am also open to long-term contracts and complex enterprise projects.

  • C#
  • .NET Core
  • Amazon Web Services
  • Microsoft Azure
  • Python
  • Xero
  • Azure DevOps
  • Terraform
  • Docker
  • Kubernetes
  • Fabric
  • Microsoft SQL Server
  • REST API
  • Data Warehousing
  • ETL Pipeline
  • Microsoft Azure SQL Database
  • NetSuite Development
  • Oracle
  • SQL Server Integration Services
  • FastAPI
Mujtaba S.

Karachi, Pakistan

$12/hr
5.0
4 jobs

Updated on 09/22/26 Data moves from bronze to gold through dbt models, with schema tests and business-rule checks built into the models themselves. A broken assumption gets caught inside the pipeline, not by whoever happens to open the report next. Bad records get quarantined instead of sitting quietly in a "trusted" table. Failures trigger alerts instead of failing silently. And reporting doesn't ship until the data underneath it is solid built around the one question the business actually needs answered, not a wall of metrics nobody opens. Most dashboard problems are not dashboard problems. When a number does not match what someone counted by hand, the actual failure happened upstream in ingestion or in a transformation nobody ever tested. That is where I spend most of my time. The chart at the end is the easy part. I build ETL and ELT pipelines on BigQuery, Snowflake, and PostgreSQL using Python, SQL, dbt, and Airflow, then wire them into Power BI and Tableau reports the business can actually trust. My work covers pipelines and orchestration (Airflow, Mage AI, dbt, Python, SQL, PySpark), warehouses (BigQuery, Snowflake, PostgreSQL, ClickHouse), streaming (Kafka, PyFlink, event-time processing), cloud infrastructure (AWS Lambda, S3, EventBridge, SNS, Docker, FastAPI), reporting (Power BI, Tableau), and AI/LLM work (RAG systems, Qdrant, Ollama, local model workflows). A few examples of what that looks like. On a loan portfolio risk project, I built incremental dbt pipelines so an upstream schema change would break the pipeline immediately, instead of quietly skewing a risk number for weeks before anyone noticed. On a district-level KPI dashboard, layered dbt models on Snowflake meant the Power BI report answered exactly what one audience needed not a rollup of everything available. On FinTex, a financial research platform built to answer questions from messy documents, I owned the retrieval layer: RAG agents over structured and unstructured data on FastAPI and Qdrant, with confidence scoring so a weak answer gets flagged instead of passed off as fact. The tools change from project to project. Finding where trust breaks in the pipeline doesn't. Tell me two things, and I'll give you a straight read on whether you're looking at a quick fix or something bigger: what the reporting needs to answer and where your data lives right now, Excel, PDFs, or a handful of systems that don't talk to each other. If it's a tool I haven't genuinely worked with, I'll say so rather than guess my way through your job. ETL, SQL, Python, DBT, Snowflake, Apache Airflow, Apache Kafka, AWS, Data Pipeline, Power BI, Python, Snowflake, ETL Big Data, ETL Pipeline, Data Engineer, Developer, Data Science, Data Analysis, Deep Learning, Data Engineering, Azure Databricks, MLOps Engineer, Machine Learning, Database Design, Delta Lake Expert, Databricks Engineer, Big Data Consultant, AWS Data Specialist, Database Architecture, Amazon Web Services, Artificial Intelligence, Deep Learning Modeling, Python, SQL, DBT, ETL, Machine Learning Engineer, Data Analytics & Visualization Software, Data Warehousing & ETL Software Data Processing Cloud Engineering, GCP Analytics, Data Analytics, Data Visualization, Spark Developer

  • Microsoft Power BI
  • Data Engineering
  • Data Extraction
  • dbt
  • Data Analysis
  • ETL
  • ETL Pipeline
  • API
  • Apache Airflow
  • AWS Lambda
  • Data Modeling
  • Machine Learning
  • Data Quality Assessment
  • ClickUp
  • Snowflake
  • Artificial Intelligence
Josh Y.

Allen, Texas

$85/hr
5.0
54 jobs

Struggling with legacy systems, data chaos, high Azure costs, or risky migrations? With 15+ years of experience and a 50-engineer team, I deliver proven medallion architecture, optimized data warehouses, seamless migrations, and a single source of truth to cut costs and drive clarity. Advanced T-SQL | DAX | Fabric Medallion | ADF, SSIS, config-driven meta data ETL Pipeline | Python | PySpark | Databricks (DLT, Lakeflow) | AWS Glue | Lambda | SharePoint | DOMO, Tableau to Power BI | Azure AI Foundry | Azure AI Search (RAG) | Azure Functions | Fabric Data Agent About Me I'm a senior Azure Data Architect and Microsoft Fabric expert helping organizations build, optimize, and modernize their cloud data infrastructure. From Fortune 500 companies to agile startups, I design scalable systems that simplify analytics, streamline pipelines, and unlock real business insights. I also build AI-powered agents and copilots that let business users query governed data in plain language, backed by retrieval-augmented generation and deterministic, auditable logic. As Co-Founder of a Microsoft Partner firm and a proud U.S. citizen, I offer enterprise-level expertise without the overhead. You'll work directly with the architect who's led successful projects for Microsoft, CVS, Toyota, LinkedIn, Wells Fargo, Otsuka Pharmaceutical, DHS, United Health Group, Coca-Cola, UBS, Capgemini, and multiple large law firms — no middle layers, just results. Skills & Expertise - Cloud: Azure, AWS - Data Engineering: ADF, SSIS, Databricks, ETL Pipelines - Analytics & BI: Power BI, DAX, Tableau, DOMO, SQL - Data Warehousing: Azure Synapse, SQL Server, Snowflake, Fabric Lakehouse, Teradata - Automation & AI: Azure OpenAI, Power Automate, FastAPI, Python - AI Agents & RAG: Microsoft Foundry (Prompt Agents), Azure AI Search RAG, Fabric Data Agent, GPT-4o orchestration, NetworkX concept-graph routing - Serverless: Azure Functions (Python) for governed query tools, OpenAPI 3.0 tool registration - Modeling: Fact/Dim design, SQL optimization, Delta Live Tables, Delta MERGE - Migration: SAP ECC/HANA, JDE Oracle, Teradata/MicroStrategy, Epic EHR, DOMO/Cognos to Power BI, on-prem to cloud - Business Systems: Salesforce, Sage ERP, Yardi, Entrata, Kinaxis (Maestro), Redshift - DevOps: Azure DevOps, Git (DEV/TEST/PROD), Kubernetes, Terraform, Container Registry, Azure CLI, Entra ID SSO - Security: Managed Identity/RBAC, row-level security, masked-sandbox promotion - QA: pytest regression testing for SQL correctness and routing logic Selected Client Engagements - Manufacturing: Avoided a costly SAP ECC/HANA upgrade by modernizing directly onto Microsoft Fabric — replaced fragmented SAP/Salesforce/SharePoint reporting with Medallion architecture and Direct Lake analytics. - Insurance / Home Care: Migrated Domo/Tableau to Power BI on Fabric — rebuilt semantic models and refresh schedules, adding Copilot/AI analytics inside Teams and SharePoint. - Manufacturing: Migrated JD Edwards (JDE) Oracle reporting into a Fabric Lakehouse with Copilot-assisted SQL transformation — cut IT dependency with self-service, AI-driven insights. - Healthcare / Academic Medical Center: Unified Epic EHR and on-prem Oracle sources into one Fabric Lakehouse — consolidated fragmented clinical/operational reporting. - Real Estate Investment & Asset Management: Consolidated 12+ management companies' property, treasury, and document systems (Yardi, Entrata, JPMorgan, Chatham Financial) into one governed Fabric lakehouse — cut new-entity onboarding from weeks to hours. - Healthcare / Consumer Health Manufacturing: Integrated Kinaxis (Maestro) planning data with ERP/JDE execution data on Fabric, adding a RAG-grounded AI agent for natural-language Q&A — replaced manual root-cause analysis. Why Work With Me - Direct-sourcing model: $250/hr value for $85/hr - 100% in-house team of 50+ top problem solver engineers — no juniors, no outsourcing - Proven track record: delivering enterprise data platforms 10X faster than competitors - Direct relationship with Microsoft funding teams — helping clients tap into available funds to offset implementation costs - Ability to optimize Azure costs down by up to 83%, driving long-term savings - Building enterprise-grade AI agents with RAG, governed deterministic tools, and full auditability — not just prototypes - Hands-on leadership: I code, lead execution, own quality control and delivery - Honest, trustworthy, and committed to 100% job delivery Keywords: Azure data architect, Microsoft Fabric expert, Data Engineering, ADF pipeline developer, Power BI specialist, Databricks developer, ETL automation, SQL warehouse architect, Azure AI Search RAG, Fabric Data Agent, GPT-4o integration, Generative AI developer, LLM orchestration, AI agent architect, API Integration, Apache Spark developer, Snowflake integration, C# developer, SAP to Fabric migration, JDE migration, Epic EHR integration, Kinaxis integration, Salesforce Redshift, Sage ERP, Yardi Entrata

  • Microsoft Power BI
  • SQL
  • SQL Server Integration Services
  • Databricks Platform
  • Microsoft Power Automate
  • Microsoft Power BI Development
  • Microsoft Azure SQL Database
  • DevOps
  • Microsoft SQL Server
  • Azure DevOps Server
  • PySpark
  • Microsoft PowerApps
  • ETL
  • Data Analysis
  • Amazon Redshift
Pulkit K.

Mohali, India

$18/hr
5.0
5 jobs

Senior React,Vue.js (Front end) | 9+ Years Experience I help startups, agencies, and businesses build fast, scalable, and user-friendly web applications using Node, Supabase, Laravel and React,Vue.js and Agular.js and TypeScript. With 9+ years of experience, I’ve developed complex dashboards, SaaS platforms, admin panels, and data-driven applications — focusing on clean architecture, performance, and long-term scalability. 🚀 What I Can Help You With ✔ React (TypeScript, Redux, Next-js) ✔ Vue.js (TypeScript, Redux, Next-js) ✔ Agular.Js ✔ High-performance dashboards & admin panels ✔ API integration & complex business logic ✔ Supabase API Development. ✔ Pixel-perfect UI (Material UI, Ant Design, Bootstrap, Tailwind) ✔ Performance optimization & code refactoring ⚙️ Backend & Integration ✔ Node-js / Express-js ✔ Supabsae API ✔ Laravel ✔ MongoDB ✔ REST API development & integrations My experience includes: ✔️ Integration of services with Make (Integromat) ✔️ Experience in business Automation ✔️ Sales Process Automation ✔️ In-depth knowledge of form-building platforms, including Gracity Forms, Google Forms, Jotform and Typeform. ✔️ Building Apps using Make. ✔️ Performace Tracking Matrix 🛠 Tools & Workflow ✔ Git (GitHub, GitLab, Bitbucket) ✔ Jira, Asana, Agile/Sprint workflows ✔ Tools Make, n8n ✔ RM: GoHighLevel, HubSpot, Airtable, Pipedrive ✔ Clean, reusable, and maintainable code practices 💡 Why Clients Choose Me ✔ Clear & fast communication ✔ Clean, scalable, and production-ready code ✔ Strong problem-solving approach ✔ On-time delivery with attention to detail ✔ Long-term collaboration mindset I don’t just build features — I build reliable, scalable products that grow with your business.

  • Make.com
  • n8n
  • Laravel
  • Node.js
  • Supabase
  • SQL
  • PostgreSQL
  • JavaScript
  • Drupal
  • WordPress
  • AWS Lambda
  • ExpressJS
  • REST API
  • MongoDB
  • Replit
  • React
  • Vue.js
  • Angular 10

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What does a Unify SQLBase specialist do?

A Unify SQLBase specialist administers and develops applications for the OpenText Gupta SQLBase relational database system. This role focuses on managing the embedded or workgroup database engine, ensuring data integrity, and optimizing performance for connected software. The specialist configures server environments, writes complex SQL queries, and maintains automated backup routines to keep business operations running smoothly. They also integrate the database with application code using specific drivers and development tools.

  • Administer SQLBase servers by creating and managing database objects such as users, roles, tables, views, and indices. The specialist uses the SQLBase Command Center to monitor operational states, inspect locking mechanisms, and analyze active processes to prevent bottlenecks. They configure security settings, including encryption features and access controls, to protect sensitive data within the deployment.
  • Develop and test SQL scripts using SQLTalk Plus, a visual database tool designed for this platform. The specialist validates query performance, troubleshoots execution errors, and refines code to ensure efficient data retrieval. They use the database editor views to inspect structure and verify that schema changes align with application requirements before pushing updates to production environments.
  • Set up automated database maintenance tasks through the Command Center scheduling interface. This includes configuring regular backups, unloads, and alarm thresholds that trigger notifications or corrective actions when system metrics deviate from normal ranges. The specialist ensures these automated routines run reliably to prevent data loss and maintain system health without constant manual intervention.
  • Deploy SQLBase instances using the Embedded Deployment Pack (EDP) and related configuration tools for mass installation. The specialist wires up application integration by connecting software to the database via supported drivers such as ODBC, OLE DB, JDBC, or the .NET Data Provider. They verify connectivity and SQL execution within development environments like Visual Studio, often using the DDEX extension to streamline the workflow.

How to hire a Unify SQLBase specialist on Upwork

Step 1: Post a job

Define your database administration and SQL development needs clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your requirements in a few sentences, and Uma constructs a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing post to save time.

  • Specify experience with OpenText Gupta SQLBase server administration, including user management and object definition.
  • List required proficiency with SQLTalk Plus for visual database editing and SQL performance validation.
  • Detail integration needs, such as ODBC, JDBC, or .NET Data Provider connectivity for your application stack.

Step 2: Evaluate candidates

Look for concrete evidence of SQLBase maintenance and deployment expertise in candidate profiles. Uma can run instant video interviews and build shortlists with side-by-side comparisons to speed up your review. Focus on deliverables that prove hands-on experience with the specific tools and workflows you require.

  • Verify past work configuring SQLBase Command Center for automated backups, unloads, and alarm thresholds.
  • Check for examples of schema designs, including tables, views, and indices optimized for SQLBase environments.
  • Confirm experience packaging Embedded Deployment Packs (EDP) for consistent mass installation and configuration.

Step 3: Interview your top choices

Discuss technical approaches to database security and driver integration during your interviews. Schedule and conduct these conversations within Upwork Messages, which generates an immediate transcript and summary after each session. This keeps your hiring process organized and ensures you capture key details for later reference.

  • Ask how they troubleshoot locking issues or cursor states using the database editor views in Command Center.
  • Request examples of securing deployments through encryption features and strict access control configurations.
  • Discuss their method for validating SQL execution and connectivity when wiring up new application drivers.

Step 4: Agree on scope and begin work

Set clear milestones for database setup, script testing, and deployment tasks before work begins. Use Upwork Messages and the contract workroom for all communication and project management to keep records centralized. Upwork verifies freelancer identities, offers hourly tracking, and holds project funds to protect both parties.

  • Define deliverables for tested SQL scripts and validated performance checks using SQLTalk Plus.
  • Establish schedules for routine maintenance automation, including specific backup frequencies and unload tasks.
  • Outline requirements for working application connectivity, ensuring driver-based connections execute SQL correctly.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Unify SQLBase specialist cost?

$500-$1,500 per project is a typical range for focused Unify SQLBase specialist work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Database schema design

$500-$1,200/project

Entry-level to mid-level
  • Tables, views, indices, and user roles
  • Validated queries and performance checks
  • Object definitions and usage notes

Server administration setup

$1,200-$2,500/project

Mid-level
  • Encryption features and access controls
  • Alarms and threshold actions in Command Center
  • Defined roles and permissions structure

Maintenance automation

$2,500-$4,500/project

Mid-level to senior-level
  • Backups and unloads via Command Center
  • Notification triggers for system events
  • Tested automation workflows and logs

Application integration

$4,500-$7,000/project

Senior-level
  • ODBC, JDBC, or .NET provider configuration
  • Verified SQL execution from app code
  • Steps for connecting apps to SQLBase

Embedded deployment packaging

$7,000-$11,000/project

Expert-level
  • Packaged deployment with config tools
  • Automated installation for multiple nodes
  • Installation steps and troubleshooting guide

Frequently asked questions

Is hiring a Unify SQLBase specialist worth it?

For most businesses, yes: hiring a Unify SQLBase specialist is worthwhile. These experts manage the specific administration and deployment tasks required by OpenText Gupta SQLBase environments. They configure automated maintenance schedules and validate application connectivity through supported drivers.

How do I evaluate Unify SQLBase specialist candidates?

Review their experience with SQLBase Command Center for monitoring server states and scheduling alarms. Ask them to describe how they use SQLTalk Plus to test query performance and modify database objects like tables or views.

What tools does a Unify SQLBase specialist use?

A Unify SQLBase specialist uses SQLBase Command Center for monitoring and SQLTalk Plus for database editing. They also configure deployments using the Embedded Deployment Pack and connect applications via ODBC, JDBC, or .NET drivers.

Can a Unify SQLBase specialist help with application integration?

Yes, they configure and verify database drivers such as ODBC, OLE DB, and .NET Data Provider for your application. They test these connections to confirm that SQL execution works correctly within your development environment.