Data Management Capabilities
Data Platform Overview
OpsHub’s data platform provides enterprise-grade data management built on PostgreSQL and Supabase, with advanced features for financial data processing.Data Ingestion
Batch Processing
- File Formats: CSV, Excel, XML, JSON, FIX
- Volume: Process 10M+ records per batch
- Scheduling: Cron-based and event-driven
- Validation: Schema and business rule validation
- Error Handling: Automatic retry and exception management
Real-time Streaming
- Latency: Sub-second processing
- Throughput: 100K messages/second
- Protocols: WebSocket, SSE, Kafka
- Guaranteed Delivery: At-least-once semantics
- Ordering: FIFO and priority queuing
API Integration
- REST APIs: Full CRUD operations
- GraphQL: Flexible query interface
- Webhooks: Event-driven updates
- Rate Limiting: Configurable throttling
- Authentication: OAuth 2.0, API keys
Data Storage
Structured Data
- Database: PostgreSQL 15+
- Capacity: Petabyte-scale storage
- Performance: Microsecond query response
- Partitioning: Time-based and range partitioning
- Compression: 10:1 compression ratios
Unstructured Data
- Object Storage: S3-compatible storage
- File Types: Documents, images, reports
- Versioning: Automatic version control
- Metadata: Rich metadata support
- Search: Full-text search capabilities
Time Series Data
- TimescaleDB: Optimized time-series storage
- Retention: Configurable data retention
- Aggregation: Automatic rollups
- Compression: 95% compression rates
- Performance: Million points/second ingestion
Data Processing
ETL/ELT Capabilities
- Transformation: 100+ built-in functions
- Orchestration: DAG-based workflows
- Parallelization: Distributed processing
- Monitoring: Real-time job tracking
- Recovery: Checkpoint and restart
Data Quality
- Validation Rules: 500+ pre-built rules
- Profiling: Automatic data profiling
- Cleansing: Standardization and deduplication
- Monitoring: Quality scorecards
- Lineage: End-to-end tracking
Analytics Engine
- SQL Analytics: Advanced SQL queries
- Statistical Functions: 200+ functions
- Machine Learning: Built-in ML models
- Visualization: 50+ chart types
- Export: Multiple format support
Data Security
Encryption
- At Rest: AES-256 encryption
- In Transit: TLS 1.3
- Key Management: Rotating encryption keys
- Field-level: Selective encryption
- Tokenization: PII protection
Access Control
- Row-level Security: Granular permissions
- Column Masking: Sensitive data masking
- Audit Trail: Complete access logs
- Data Classification: Automatic classification
- Privacy: GDPR compliance
Data Integration
Connectors
- Databases: 20+ database types
- Cloud Storage: AWS, Azure, GCP
- APIs: 100+ pre-built connectors
- Files: Automated file handling
- Messaging: Queue integration
Synchronization
- Real-time Sync: Millisecond latency
- Batch Sync: Scheduled synchronization
- Bi-directional: Two-way sync
- Conflict Resolution: Automatic handling
- Delta Sync: Incremental updates
Performance & Scale
Benchmarks
- Query Performance: <100ms p99
- Ingestion Rate: 1M records/minute
- Concurrent Users: 10,000+
- Data Volume: 100TB+
- Availability: 99.99% uptime
Optimization
- Indexing: Automatic index management
- Caching: Multi-tier caching
- Partitioning: Smart partitioning
- Compression: Adaptive compression
- Query Optimization: AI-powered optimization
Enterprise-grade data management for modern investment operations.