Change Data Capture Tools

Canal is a database replication middleware that performs change data capture by simulating a database replica. It monitors transaction logs to stream incremental data modifications to downstream systems in real time, acting as an event streaming infrastructure that transforms low-level binary logs into structured, consumable message streams. The project distinguishes itself through a high-throughput architecture that utilizes concurrent multi-threaded parsing and stateful log position tracking to ensure reliable data delivery. It employs a pluggable sink architecture that decouples data extra

Debezium is a distributed change data capture platform that streams row-level database modifications as real-time events. By parsing database transaction logs, the system broadcasts structural and data changes to message brokers, enabling reactive processing and data integration across distributed architectures. The platform utilizes log-based capture to extract modifications directly from transaction logs, ensuring minimal impact on source system performance while maintaining the original commit order of operations. It employs database-specific connector adapters to translate proprietary bin

This project is a streaming data integration framework that captures real-time database changes and synchronizes them with downstream systems. It operates as a distributed streaming ETL and database synchronizer, reading database logs and snapshots to propagate row-level modifications to target sinks. The system supports declarative data integration, allowing users to define source-to-sink data flows using SQL or YAML configurations. It distinguishes itself by automating schema evolution to maintain synchronization when source structures change and ensuring exactly-once delivery and processin

go-mysql is a toolkit for MySQL database integration, providing a native client driver and the capabilities to implement custom MySQL-compatible servers or proxies. It enables applications to communicate with MySQL servers through standard SQL interface patterns. The project provides specialized support for real-time data synchronization by streaming binary log events. This allows database changes to be captured and pushed into external data stores, search engines, or caches to maintain consistency. The library includes tools for memory-efficient large dataset processing, utilizing query res

RethinkDB is a distributed, document-oriented database designed to store and manage JSON-formatted data across scalable clusters. It utilizes a custom log-structured storage engine with B-Tree indexing to ensure high-performance disk I/O and data persistence. The system maintains high availability through automatic sharding and replication, employing a primary-replica voting consensus mechanism to handle node failures and ensure consistent cluster operations. A defining characteristic of the platform is its reactive changefeed engine, which allows applications to subscribe to live data update

Benthos is a stream processing engine and data integration pipeline used for routing, transforming, and connecting data streams between diverse sources and sinks. It functions as event routing middleware and a change data capture tool, streaming real-time database modifications as discrete events for downstream processing. The system utilizes a declarative pipeline configuration, where data flow and processing logic are defined in a single static file. It features a specialized domain-specific language for mapping, filtering, and enriching data payloads, allowing for complex transformations w

Benthos is a declarative stream processor and data integration pipeline used to route, transform, and filter information between disparate services. It functions as an at-least-once message broker and change data capture engine, using a transaction model to guarantee message delivery despite system crashes or server faults. The system is defined by an observability-first approach, featuring built-in HTTP health probes, performance metrics export, and distributed request flow tracing. It utilizes a plugin architecture that allows the core engine to be extended with custom binaries for new inpu

go-mysql is a toolkit for the Go programming language designed for implementing MySQL protocol handlers, binary log replication systems, mock servers, and schema parsing utilities. It provides the necessary libraries to interact with MySQL servers through native network protocols and binary log streams. The project enables the creation of custom database proxies or mock servers by parsing and decoding low-level network packets. It also includes a replication tool for streaming and processing binary logs to synchronize data across different storage systems, alongside a schema parser for extrac

Airbyte is a data integration platform designed to synchronize information between diverse applications, databases, and data warehouses. It functions as an extract, transform, and load orchestrator that manages automated data movement workflows across cloud, on-premise, and hybrid environments. The platform provides a standardized interface for connectors, enabling the movement of structured and unstructured data while maintaining stateful checkpoints for reliable incremental syncing. The platform distinguishes itself through a containerized architecture that isolates connectors to prevent de

Storm is a distributed stream processing framework and fault-tolerant compute engine designed for executing real-time continuous computations across a cluster of machines. It functions as a stateful stream processor and cluster topology manager, enabling the deployment and monitoring of distributed data flow configurations. The system ensures exactly-once semantics by utilizing transactional state management to guarantee that every message in a data stream is processed exactly one time. It further operates as a distributed RPC system, allowing for the integration of non-native languages throu

gh-ost is a triggerless online schema migration tool for MySQL. It functions as a replication client and table management utility that synchronizes data from a source table to a shadow table using binary logs, allowing for table structure modifications without locking original tables or causing downtime. The tool distinguishes itself by using binary-log-based replication instead of triggers to stream row-based events to a shadow table. It implements load-aware throttling and dynamic performance tuning to adjust migration speed based on server load and replication lag. Users can monitor and ad

This project provides an integrated backend platform built around a relational database. It automatically generates REST and GraphQL APIs from database schemas, allowing for direct data interaction through standard requests and client libraries. The platform includes a comprehensive authentication system that manages user identity, session handling, and fine-grained access control through database-native row-level security policies. Beyond core data management, the platform offers specialized services for object storage, vector data processing for semantic search, and real-time communication