Big Data & Analytics

Apache Debezium

Our Apache Debezium Services help businesses capture, stream, and sync real-time database changes across distributed systems. As an open-source software support provider, we specialize in deploying, optimizing, and managing Debezium for Change Data Capture (CDC), event-driven architectures, real-time analytics, and data replication across hybrid cloud environments.

Key Service Propositions

Real-Time Change Data Capture (CDC)

Orchestrate data pipelines, ETL jobs, and ML workflows across hybrid environments.

Seamless Database Replication

Capture row-level changes from MySQL, PostgreSQL, MongoDB, SQL Server, Oracle, and more.

Event-Driven Architecture Enablement

Integrate Debezium with Apache Kafka, Pulsar, AWS Kinesis, and Google Pub/Sub.

Reliable & Scalable Data Streaming

Enable fault-tolerant, low-latency, and distributed data processing.

Schema Evolution & Versioning

Automatically track database schema changes without breaking downstream consumers.

Cloud-Native & Kubernetes Ready

Deploy on Kubernetes, OpenShift, AWS, Azure, GCP, and hybrid cloud environments.

Service Offerings

Apache Debezium Deployment & Configuration

On-Premises & Cloud Deployments –

Deploy Debezium on Kubernetes, OpenShift, AWS, Azure, and GCP.

Kafka-Integrated CDC Pipelines –

Configure Debezium with Apache Kafka, Confluent Cloud, and Redpanda.

Standalone Debezium & Embedded Mode –

Enable lightweight CDC integration without Kafka using embedded Debezium.

Connector Configuration & Tuning –

Optimize Debezium connectors for MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, and Cassandra.

Real-Time Data Streaming & Replication

Change Data Streaming for Analytics & BI –

Sync real-time data from transactional databases to data lakes and warehouses.

Data Replication Across Multi-Region Databases –

Implement active-active and active-passive replication strategies.

Streaming ETL & Data Lake Integration –

Enable CDC pipelines into Delta Lake, Snowflake, BigQuery, Redshift, and Apache Iceberg.

Event-Driven Microservices –

Trigger real-time updates in event-driven architectures using Kafka, Pulsar, and Kinesis.

Performance Optimization & High Availability

Parallel Execution & Task Scheduling –

Optimize CeleryExecutor, KubernetesExecutor, and DaskExecutor for distributed task execution.

Auto-Scaling & Load Balancing –

Tune Airflow to automatically scale worker nodes based on demand.

Task Caching & Smart Retries –

Reduce redundant execution with intelligent task skipping and retry policies.

Performance Benchmarking –

Analyze DAG execution times and optimize for efficiency.

Security, Governance & Compliance

RBAC & Access Controls –

Implement role-based access control for data security.

Data Masking & Filtering –

Apply field-level filtering and transformation to protect sensitive data.

Encrypted Data Streaming –

Secure data in transit with TLS encryption.

GDPR & HIPAA Compliance –

Ensure data governance, audit logging, and regulatory compliance.

Apache Debezium Integration with Data & Cloud Platforms

Big Data & Streaming Services –

Integrate with Apache Flink, Spark Streaming, and KSQL for real-time analytics.

Data Warehouses & Lakehouses –

Sync CDC events with Snowflake, BigQuery, Redshift, and Apache Iceberg.

Event Brokers & Messaging Systems –

Connect with Apache Kafka, Pulsar, AWS SQS, and Google Pub/Sub.

CI/CD & DevOps Automation –

Automate Debezium deployments with Terraform, Helm, and ArgoCD.

Managed Apache Debezium Services & Enterprise Support

24/7 Monitoring & Incident Response –

Ensure high availability with proactive monitoring and issue resolution.

Disaster Recovery & Backup Strategies –

Implement multi-region failover and log-based recovery mechanisms.

Automated Upgrades & Patch Management –

Keep Debezium secure and up to date.

Training & Knowledge Transfer –

Hands-on Debezium training for data engineers, DevOps, and architects.

Supported Workloads

Database Change Data Capture (CDC)

Data Replication & Syncing

Real-Time Event-Driven Architectures

ETL & Data Warehousing

IoT & Log Processing

AI/ML Model Training