Batch to Real-Time Data Migration
Migrate from batch to real-time processing with AI-powered automation. Sub-second latency, 90% faster insights, zero downtime in 2-3 weeks.
Complete Batch to Real-Time Migration
Migration Scope
- Batch Jobs: Nightly ETL, scheduled reports
- Streaming Setup: Kafka, Kinesis, Pulsar
- CDC Implementation: Real-time change capture
- Stream Processing: Flink, Spark Streaming
Key Benefits
- Sub-Second Latency: Real-time insights
- 90% Faster: Eliminate batch delays
- Zero Downtime: Phased migration approach
- Event-Driven: Modern architecture
Batch vs Real-Time Processing
Batch Processing
❌ Stale data for decision making
❌ Missed real-time opportunities
❌ Complex failure recovery
Real-Time Processing
✅ Fresh data for real-time decisions
✅ Capture time-sensitive opportunities
✅ Automatic failure handling
4-Phase Migration Process
Batch Job Analysis
AI analyzes your batch jobs to identify real-time candidates and design streaming architecture.
- Automated batch job inventory and analysis
- Real-time candidate identification
- Streaming architecture design
Streaming Infrastructure
AI sets up streaming infrastructure with CDC, message queues, and stream processing.
- CDC setup for real-time change capture
- Kafka/Kinesis/Pulsar configuration
- Stream processing framework setup
Logic Conversion
AI converts batch processing logic to streaming with automated testing and validation.
- 90% automated batch-to-stream conversion
- Windowing and aggregation logic
- Parallel validation with batch jobs
Phased Cutover
AI orchestrates phased cutover to real-time processing with zero downtime.
- Gradual traffic shift to streaming
- Continuous monitoring and validation
- Batch job decommissioning
AI-Powered vs Manual Migration
| Factor | AI-Powered Migration | Manual Migration |
|---|---|---|
| Timeline | 2-3 weeks | 3-6 months |
| Conversion Rate | 90% automated | 100% manual rewrite |
| Latency | Sub-second | Sub-second (same) |
| Cost | $75K-$150K | $300K-$600K |
| Downtime | Zero (phased approach) | Hours to days |
| Testing | Automated parallel validation | Manual testing |
| Success Rate | 99.9% | 80-85% |
People Also Ask
When should I migrate from batch to real-time processing?
Migrate when you need instant insights for decision-making, want to capture time-sensitive opportunities, or when batch delays impact business outcomes. Common use cases include fraud detection, real-time recommendations, operational monitoring, and customer experience personalization.
How does AI convert batch jobs to streaming?
AI analyzes your batch job logic to identify transformations, aggregations, and business rules, then automatically generates equivalent streaming code using frameworks like Flink or Spark Streaming. It handles 90% of conversions automatically, including windowing, state management, and exactly-once semantics, with human review for complex cases.
Can I keep some batch jobs while migrating others?
Yes, hybrid architectures are common. Not all workloads need real-time processing. AI helps identify which jobs benefit most from real-time migration (time-sensitive, high-value decisions) vs those that can remain batch (historical reporting, bulk analytics). You can migrate incrementally based on business priority.
How long does batch to real-time migration take?
With AI-powered automation, most migrations complete in 2-3 weeks including analysis, infrastructure setup, logic conversion, and cutover. Manual migrations typically take 3-6 months. Timeline depends on the number of batch jobs, complexity of transformations, and data volume.
What are the cost implications of real-time processing?
While real-time infrastructure has ongoing costs (streaming platforms, compute), the business value typically far exceeds the investment. Migration costs are 75% lower with AI: $75K-$150K vs $300K-$600K for manual migration. Real-time insights enable faster decisions, better customer experiences, and capture time-sensitive opportunities that batch processing misses.
Ready to Enable Real-Time Processing?
Get sub-second latency with 90% faster insights. Complete migration in 2-3 weeks with zero downtime.
Schedule Real-Time Assessment