Seata is a distributed transaction coordinator designed to ensure data consistency and atomicity across microservices. It provides a centralized framework for managing global transactions, preventing partial data updates across different databases and services. The project implements multiple transaction modes to balance consistency and performance. This includes an automatic mode that uses rollback logs to coordinate compensation without modifying business logic, a try-confirm-cancel pattern for resources lacking native ACID support, and a saga orchestration engine for managing long-lived bu
dtm is a distributed transaction framework and polyglot transaction coordinator designed to maintain data consistency across microservices. It functions as a Saga orchestration engine and a two-phase message coordinator, ensuring that multi-service operations either succeed completely or roll back to a consistent state. The project distinguishes itself by supporting multiple consistency patterns, including Saga, TCC, XA, and outbox patterns, allowing users to select the appropriate model for their specific application requirements. It provides a polyglot integration layer via HTTP and gRPC, e
Hmily is a distributed transaction framework and data consistency manager designed to maintain state across multiple services. It operates as a coordinator that tracks transaction states across remote procedure calls to manage nested operations and ensure atomic completions. The project implements the SAGA pattern to orchestrate long-running business processes through a sequence of local transactions and automated compensating actions. It distinguishes itself by automating the generation and execution of rollback scripts for relational databases to recover from business exceptions and restore
Seata is a distributed transaction coordinator and consistency framework designed to maintain data integrity across multiple microservices. It functions as a manager that synchronizes state across separate databases to ensure atomic commits or rollbacks of global transactions. The project provides a toolkit for implementing distributed transaction patterns, using a two-phase commit protocol and centralized status tracking to prevent data anomalies. It orchestrates eventual consistency through state-machine-based tracking and message-driven coordination to handle timeouts and failures in distr