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Enterprise data architectures struggle with a fundamental inefficiency: implementing Change Data Capture solutions that consume massive engineering resources while delivering inconsistent operational results. Organizations deploying traditional CDC frameworks face months-long implementations, ongoing infrastructure maintenance, and performance bottlenecks that prevent real-time operational data consistency.
Debezium's default design uses a single Kafka Connect task per connector, capturing change events in a single-threaded manner per database/table. This limits the processing capacity to about 7,000 events per second for the Postgres connector. [1] Even worse, Debezium (via Kafka) does not guarantee exactly-once delivery for change events, using at-least-once delivery semantics. This means duplicates can occur if a connector or Kafka Connect worker crashes after sending events before updating its offset. [1]
Stacksync eliminates these operational inefficiencies with purpose-built architecture delivering true real-time, bi-directional synchronization without complex infrastructure requirements or performance limitations.
Debezium's classic deployment demands comprehensive Kafka infrastructure, creating substantial operational complexity for enterprise data integration tools requirements.
Infrastructure Requirements:
Running open-source software like Debezium in production comes with inherent maintenance challenges. As with any software, bugs and security issues will be discovered over time that require patching. With open-source tools, the burden falls on engineering teams to stay on top of new releases and manually upgrade production infrastructure. This includes testing to ensure stability and performance with each upgrade. [2]
Stacksync delivers operational efficiency that traditional CDC frameworks cannot match. No-Code, Effortless Setup: You can connect systems like Salesforce, HubSpot, NetSuite, and PostgreSQL and configure a bi-directional sync in minutes.
Operational Advantages:
Debezium's scalability is problematic in some cases. Even though it provides numerous connectors, some of them are known to have scalability issues. In some instances, users have experienced out-of-memory exceptions, and there are complications while snapshotting large tables. Also, as the volume of data increases with business growth, pipelines can quickly become overloaded. [3]
Technical Limitations:
Stacksync's architecture eliminates traditional CDC performance bottlenecks. True Bi-Directional Synchronization: Stacksync is not simply two one-way pipelines running in parallel. It offers a stateful, bi-directional sync engine with automated conflict resolution, ensuring that data remains consistent regardless of where a change originates. Sub-Second Latency: Using a combination of webhooks and Change Data Capture (CDC), the platform propagates changes in near real-time, reducing data lag between systems.
Performance Advantages:
Debezium Server eliminates Kafka dependencies but introduces significant operational constraints for bi-directional sync tools requirements.
Operational Limitations:
Stacksync delivers operational reliability that standalone CDC solutions cannot provide:
Reliability Features:
Debezium has no built-in de-duplication, so consumers must handle duplicates, often through primary key checks or UPSERT semantics. Achieving exactly-once CDC may require integration with other frameworks, leading many teams to implement custom deduplication for their consumers. [1]
Data Consistency Issues:
Stacksync ensures operational data consistency without custom duplicate handling:
Consistency Guarantees:
The Debezium Engine requires extensive custom development for operational deployment, making it unsuitable for resource-efficient enterprise data integration tools.
Development Requirements:
Stacksync eliminates development complexity with enterprise-ready synchronization:
Connect all your systems saving 90% engineering time, no maintenance required. Use 700+ pre-built connectors or connect to any other system via API. Workflows support SaaS tools, Database transformation automation, IoT, Sensors and more.
Implementation Benefits:
Stacksync delivers measurable operational improvements for enterprise data integration:
Acertus, a vehicle logistics company, faced high costs and inefficiencies with Heroku Connect. By switching to Stacksync, they achieved: $30,000+ annual savings by replacing Heroku Connect. Improved data accuracy across Salesforce, NetSuite, and Snowflake. Real-time operational insights for better decision-making.
Enterprise Results:
Organizations seeking workato alternatives find Stacksync provides superior operational efficiency for real-time data synchronization needs. Example: Gladia (AI speech technology) uses Stacksync to synchronize 59,000 Salesforce records with their product database while maintaining strict data isolation between environments.
Traditional CDC frameworks like Debezium require substantial engineering resources while delivering limited operational value:
Stacksync transforms data architecture strategy by eliminating traditional CDC limitations:
Stacksync is engineered specifically for real-time, bi-directional data synchronization, providing the reliability, performance, and developer-focused features required to solve this problem effectively. By abstracting away the complexity of conflict resolution, error handling, and scalability, Stacksync empowers engineering teams to build robust, automated data flows and focus on delivering business value.
Strategic Advantages:
The fundamental difference between traditional CDC frameworks and purpose-built synchronization platforms determines operational success. While Debezium variants require substantial engineering investment with limited operational returns, Stacksync delivers enterprise-grade synchronization with zero infrastructure complexity.
Real-time data synchronization is critical for modern architectures. For seamless, enterprise-grade, two-way sync choose Stacksync. [4]
Organizations prioritizing operational efficiency, implementation speed, and engineering resource optimization achieve superior results with specialized synchronization platforms designed for enterprise data integration requirements.
Ready to eliminate CDC complexity and achieve true operational synchronization? Experience Stacksync's enterprise-grade platform and discover how purpose-built architecture transforms data consistency across your CRM, ERP, and database systems with zero-infrastructure deployment and guaranteed reliability.
