
Connect APIs, databases, SaaS tools, internal platforms, and cloud systems into clean, reliable data flows. PLANEKS builds custom data integration solutions for startups and SMEs that need dependable analytics, automation, and reporting.
You get automated data flows, cleaner reporting, fewer manual tasks, and a foundation ready for analytics and business automation.
We also apply AI to optimize development, and our senior engineers review every change to keep the code resilient and production-ready.
Our Data Integration Services
Across 150+ completed projects, clients bring us the same integration challenges and questions: rate limits, retries, schema changes, and records that stop syncing. Our data integration engineering services cover the full path from source system to usable dataset.
Data Integration Consulting and Architecture
API Data Integration Services
ETL and ELT Pipeline Development
Real-Time Data Integration
Cloud Data Integration
Database and Data Warehouse Integration
Data Quality, Validation, and Deduplication
Systems and Data Sources We Integrate
Across 100+ clients, we’ve integrated most of the systems businesses adopt, such as SaaS tools, ERPs, and legacy databases.
How Our Data Integration Process Works
We have a well-established process that remains consistent across projects, while the architectural decisions within it are tailored to each business.
Data Source and Business Workflow Audit
Integration Architecture Planning
Data Mapping and Transformation Logic
Development and Integration Implementation
Testing, Validation, & Data Quality
Deployment, Monitoring, and Support
Data Integration Patterns We Use
We choose the pattern per project, based on latency, data volume, and how systems interact. Each pattern below fits a specific class of problem.
API-Based Integration
ETL/ELT Integration
Real-Time Data Synchronization
Batch Data Integration
Event-Driven Integration
Legacy System Integration
Data Integration for Analytics, Automation, and AI Readiness
Every dashboard and automation runs on data pulled from other systems, and the quality of that integration determines whether teams can trust the output. Clean, connected data supports reliable dashboards, automated reporting, flow automation, customer 360 views, AI-ready datasets, and more accurate forecasting. For example, teams across finance, marketing, sales, and product work from a single, consistent source of truth instead of each maintaining their own version in a spreadsheet.
Industries
We’ve delivered data integration services across 20+ domains, and since each has its own data and industry-specific peculiarities, we tailor the work to your sector’s specific requirements.
Why Choose PLANEKS as Your Data Integration Company
10+ years of backend engineering mean your integration is handled by a team that has built the APIs, queues, and background jobs it runs on.
How Much Do Data Integration Services Cost?
The cost of data integration engineering services is mostly determined by complexity, which gives you room to scope the budget to your case. A quote reflects the number of systems, API complexity, data volume, transformation logic, security requirements, and whether the work is batch, near-instant, or cloud-native. In our practice, most projects fall into one of four categories: a simple API or SaaS integration, a multi-system business integration, a data warehouse or analytics integration, or a complex real-time or enterprise build.
For a detailed breakdown, reach out to our data integration consultants for an accurate price based on your systems and requirements.
FAQ About Data Integration Services
Common questions about our data integration services, from methods and supported systems to timelines and data quality.
What are data integration services?
What is the difference between data integration and ETL?
What systems can PLANEKS integrate?
Do you provide real-time data integration?
Can you integrate legacy systems with modern cloud platforms?
Can you build dashboards after integrating the data?
How long does a data integration project take?
How do you ensure data quality?
What do people praise about PLANEKS?
5.0/5.0
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