Big Data Solutions & Services
DevSimplex provides comprehensive big data solutions to help businesses process, store, and analyze massive volumes of structured and unstructured data.
Trusted by 200+ businesses worldwide
Transform Data Complexity Into Business Value
From terabytes to petabytes—build big data infrastructure that delivers insights at scale.
Distributed architectures that process massive datasets 10x faster
Real-time and batch processing for comprehensive analytics coverage
Cloud-native platforms with auto-scaling and cost optimization
Data lake foundations that support structured and unstructured data
Production-ready solutions with monitoring, governance, and security built-in
Our Offerings
End-to-end software solutions tailored to your business needs
Big Data Architecture Design
ArchitectureDesign scalable and efficient big data architectures to handle massive data volumes and processing requirements.
Features:
- Scalable architecture design
- Data lake architecture
- Distributed processing design
What You Get:
- • Architecture design
- • Technology recommendations
- • Implementation roadmap
- • Performance estimates
- • Cost analysis
Data Lake Implementation
Data LakeBuild and implement data lakes to store and process massive volumes of structured and unstructured data.
Features:
- Data lake setup and configuration
- Data ingestion pipelines
- Data catalog and governance
What You Get:
- • Data lake implementation
- • Ingestion pipelines
- • Data catalog
- • Governance framework
- • Documentation
Real-Time Big Data Processing
Real-Time ProcessingImplement real-time data processing systems to handle streaming data and enable real-time analytics.
Features:
- Streaming data processing
- Real-time analytics
- Event-driven architecture
What You Get:
- • Streaming pipeline
- • Real-time processing
- • Analytics setup
- • Monitoring system
- • Documentation
Big Data Analytics Platform
AnalyticsBuild comprehensive analytics platforms to analyze massive datasets and generate actionable insights.
Features:
- Advanced analytics
- Machine learning integration
- Interactive dashboards
What You Get:
- • Analytics platform
- • Dashboards
- • Query interfaces
- • Visualization tools
- • Analytics reports
Big Data Migration & Modernization
MigrationMigrate and modernize big data infrastructure to cloud platforms and modern technologies.
Features:
- Legacy system migration
- Cloud migration
- Technology modernization
What You Get:
- • Migration plan
- • Modernized infrastructure
- • Data migration
- • Performance optimization
- • Documentation
Big Data Consulting & Strategy
ConsultingStrategic consulting to develop big data strategies, assess current state, and plan implementations.
Features:
- Big data strategy development
- Current state assessment
- Technology evaluation
What You Get:
- • Strategy document
- • Assessment report
- • Technology recommendations
- • Implementation roadmap
- • ROI analysis
Why Choose DevSimplex for Big Data?
We combine deep technical expertise with proven methodologies to deliver big data solutions that scale with your business.
Proven Scalability
Our big data architectures handle petabyte-scale datasets with distributed processing that grows with your needs.
Real-Time Processing
Stream processing capabilities deliver insights in milliseconds, enabling real-time decision-making and analytics.
Cloud-Native Expertise
Leverage modern cloud platforms and managed services to reduce operational overhead and accelerate deployment.
Enterprise-Grade Security
Built-in data governance, encryption, and compliance frameworks protect your most valuable asset—your data.
Advanced Analytics Ready
Architectures designed for ML and AI workloads, turning massive datasets into predictive insights.
Cost Optimization
Smart storage tiering, compute optimization, and efficient processing reduce infrastructure costs by 30-50%.
Use Cases
Real-world examples of successful implementations across industries
E-commerce
Challenge:
Processing massive volumes of transaction, customer, and product data for real-time analytics
Solution:
Big data platform with real-time processing and advanced analytics for customer insights and recommendations
Benefits:
- Real-time customer analytics
- Improved recommendation engine
Financial Services
Challenge:
Analyzing massive volumes of transaction data for fraud detection and risk management
Solution:
Big data platform with real-time fraud detection and risk analytics
Benefits:
- Real-time fraud detection
- Improved risk management
Healthcare
Challenge:
Processing and analyzing massive volumes of patient data for research and treatment insights
Solution:
Big data platform with data lake and advanced analytics for healthcare insights
Benefits:
- Improved patient outcomes
- Better research capabilities
Key Success Factors
Our proven approach to delivering software that matters
Scalable Architecture Design
We architect big data systems using distributed computing principles, ensuring they handle growing data volumes without performance degradation.
Modern Technology Stack
Leveraging Hadoop, Spark, Kafka, and cloud data lakes, we build on proven technologies optimized for big data workloads.
Real-Time Capabilities
Stream processing architectures enable real-time analytics, monitoring, and alerting for time-sensitive use cases.
Data Governance
Built-in data quality, lineage tracking, and governance frameworks ensure data reliability and compliance.
Cost-Effective Operations
Optimized storage tiers, compute efficiency, and cloud-native approaches reduce total cost of ownership significantly.
Our Process
A systematic approach to quality delivery and successful outcomes
Assessment & Strategy
Comprehensive assessment of data requirements, current state, and big data strategy development.
Deliverables:
- Current state assessment
- Data requirements analysis
- Big data strategy
- Technology recommendations
Activities:
Architecture & Design
Design scalable big data architecture, data models, and processing workflows.
Deliverables:
- Architecture design
- Data models
- Processing workflows
- Technology stack
Activities:
Implementation
Build and implement big data infrastructure, pipelines, and analytics capabilities.
Deliverables:
- Big data infrastructure
- Data pipelines
- Processing systems
- Analytics platform
Activities:
Optimization & Support
Performance optimization, monitoring, and ongoing support for big data systems.
Deliverables:
- Performance optimization
- Monitoring setup
- Documentation
- Training
Activities:
Technology Stack
Modern tools and frameworks for scalable solutions
Processing
Storage
Analytics
Case Studies
Real-world success stories and business impact
E-commerce Big Data Platform
Challenge:
Processing massive volumes of transaction, customer, and product data for real-time analytics and recommendations
Solution:
Comprehensive big data platform with data lake, real-time processing, and advanced analytics
Results:
Tech:
Financial Services Fraud Detection
Challenge:
Analyzing massive volumes of transaction data for real-time fraud detection and risk management
Solution:
Big data platform with real-time processing and machine learning for fraud detection
Results:
Tech:
Healthcare Data Lake
Challenge:
Processing and analyzing massive volumes of patient data for research and treatment insights
Solution:
Healthcare data lake with advanced analytics and research capabilities
Results:
Tech:
Client Stories
What our clients say about working with us
"DevSimplex's big data platform transformed our ability to analyze customer data in real-time. The platform handles massive volumes of data and provides actionable insights that drive our business decisions."
"The big data fraud detection system has significantly reduced our fraud losses. Real-time processing and machine learning capabilities enable us to detect and prevent fraud instantly."
"Our healthcare data lake has enabled breakthrough research and improved patient outcomes. The platform processes massive volumes of data while maintaining HIPAA compliance."
Frequently Asked Questions
Get expert answers to common questions about our enterprise software development services, process, and pricing.
Big data refers to extremely large datasets that cannot be processed using traditional data processing tools. It typically involves data volumes in terabytes or petabytes, requiring distributed processing and specialized technologies.
We use modern big data technologies including Apache Spark, Hadoop, Kafka, Flink, and cloud-based data lakes. We select technologies based on your specific requirements and use cases.
Implementation timelines vary based on complexity. Basic implementations take 4-8 weeks, while comprehensive enterprise solutions can take 16-32 weeks. We provide detailed timelines during planning.
Yes, we provide big data migration and modernization services. We can migrate from legacy systems to modern cloud-based platforms with minimal downtime.
A data warehouse stores structured, processed data optimized for analytics. A data lake stores raw data in its native format, supporting both structured and unstructured data. Data lakes are better for big data scenarios.
Still Have Questions?
Get in touch with our team for personalized help.
Ready to Get Started?
Let's discuss how we can help transform your business with data science.