go-memdb VS dtm

For another in-memory database example, you could also check out https://github.com/hashicorp/go-memdb, but it's based on a radix tree implementation.

I just think its a glorified map. Yeah, for example go-memdb list some of its advantages in their https://github.com/hashicorp/go-memdb/blob/master/README.md README. But it is not clear whether you gain any performance gain over a map except for avoiding the locking as explained.

>So we invested what probably amounts to two or three weeks of engineering time into designing in-memory indexes that are transactionally consistent

I'll be interested to see that part if it does get open sourced. I've used https://github.com/hashicorp/go-memdb which sounds similar.

- using a distributed transaction framework (like https://github.com/dtm-labs/dtm)

But in this article, we introduce a workflow pattern in github.com/dtm-labs/dtm. Under this pattern, a mixture of XA, SAGA and TCC can be applied to different branches in a single distributed transactions, allowing users to customize most of the contents of a distributed transaction, providing great flexibility.

The open source distributed transaction framework https://github.com/dtm-labs/dtm has a two-stage message pattern inside that handles this problem very well. The following is an example of the use of an interbank transfer operation.

The above Sub-transaction Barrier technique, when used in conjunction with the distributed transaction framework https://github.com/dtm-labs/dtm, has been made available in several language SDKs, with the following example code in Go.

Maybe you can take a look at github.com/dtm-labs/dtm which provide built-in TCC pattern

Distributed XA transactions can solve the above business problem. This article presents a solution based on dtm-labs/dtm. DTM is a popular distributed transaction framework which supports XA, Saga, OutBox, and TCC patterns.

Github: https://github.com/dtm-labs/dtm

This article gives an example of implementing a distributed transaction across multiple store engines, Mysql, Redis and Mongo. This example is based on the Distributed Transaction Framework https://github.com/dtm-labs/dtm and will hopefully help to solve your problems in data consistency across microservices.