Debezium CDC Platform
Debezium Change Data Capture Consulting
Stream database changes in real-time with Debezium's log-based CDC platform. Build event-driven architectures with reliable, low-latency data streaming.
- Log-based CDC
- Capture changes directly from database transaction logs with minimal impact.
- Kafka Integration
- Stream database changes to Apache Kafka for real-time processing.
- Schema Evolution
- Handle schema changes gracefully with automatic schema registry integration.
CDC Capabilities
Debezium Services We Provide
From connector setup to production monitoring, we handle your entire CDC pipeline.
- Log-based CDC
- Capture changes directly from database transaction logs with minimal impact.
- Kafka Integration
- Stream database changes to Apache Kafka for real-time processing.
- Schema Evolution
- Handle schema changes gracefully with automatic schema registry integration.
- Multi-Database Support
- Connect MySQL, PostgreSQL, MongoDB, SQL Server, and more.
- Fault Tolerance
- Built-in resilience with automatic recovery and exactly-once delivery.
- Security & Monitoring
- Secure data streaming with comprehensive monitoring and alerting.
CDC Features
What's Included in Our Debezium Service
Performance at Scale
Our Debezium implementations deliver enterprise-grade performance.
- Latency
- <100ms
- Throughput
- 1M+ events/sec
- Uptime
- 99.99%
- Supported DBs
- 10+
Technology Stack
Debezium Ecosystem
Success Stories
Debezium CDC in Action
Real-world change data capture implementations powering event-driven architectures.
Real-Time Inventory System
Challenge:
Sync inventory changes across 50+ microservices in real-time
Solution:
Implemented Debezium CDC with Kafka for event-driven inventory updates
Results:
- 99.9% data consistency
- Sub-second propagation
- Zero inventory conflicts
Financial Transaction Streaming
Challenge:
Stream transaction data for real-time fraud detection and analytics
Solution:
Deployed Debezium with PostgreSQL and Kafka for transaction event streaming
Results:
- Real-time fraud detection
- Regulatory compliance
- 50% faster analytics
Customer Data Platform
Challenge:
Unify customer data from multiple databases for 360° customer view
Solution:
Used Debezium to stream changes from MySQL, PostgreSQL, and MongoDB
Results:
- Unified customer profiles
- Real-time personalization
- Data quality improved 90%
Client Testimonials
What Our Clients Say
Trusted by leading companies for their change data capture implementations.
"JusDB's Debezium implementation transformed our data architecture. We now have real-time data consistency across all our microservices with minimal latency."
Alex Thompson
VP of Engineering
E-commerce Platform
"The team's expertise in Kafka and Debezium helped us build a robust event-driven architecture that scales with our business growth. Exceptional technical knowledge and support."
Maria Garcia
Data Architecture Lead
FinTech Solutions
FAQ
Frequently Asked Questions
Common questions about Debezium change data capture services.
What databases does Debezium support for change data capture?
Debezium supports MySQL, PostgreSQL, MongoDB, SQL Server, Oracle, Db2, Cassandra, and Vitess. We help you implement CDC for any of these databases with proper connector configuration and optimization.
How does Debezium ensure exactly-once delivery?
Debezium uses Kafka's exactly-once semantics combined with database transaction logs to ensure no data loss or duplication. We configure proper offset management, transaction boundaries, and idempotent producers for guaranteed delivery.
What's the typical latency for change data capture with Debezium?
Debezium typically achieves sub-100ms latency for change propagation. The actual latency depends on database configuration, network conditions, and Kafka cluster setup. We optimize all components for minimal latency.
How do you handle schema evolution in Debezium?
We implement schema registry integration with Confluent Schema Registry or Apicurio Registry to handle schema changes gracefully. This includes backward/forward compatibility rules and proper versioning strategies.
Can Debezium handle high-volume transactional databases?
Yes, Debezium is designed for high-throughput scenarios. We've implemented solutions handling millions of transactions per second with proper partitioning, parallel processing, and cluster scaling strategies.
What monitoring and alerting do you provide for Debezium?
We set up comprehensive monitoring using Prometheus, Grafana, and Kafka monitoring tools. This includes connector health, lag monitoring, error tracking, and custom alerts for proactive issue resolution.
Ready for Real-time CDC?
Let our Debezium experts build your event-driven architecture with reliable change data capture.