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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
MongoDB and Elasticsearch are similar, both belong to NoSQL, and the stored data is all document type. So I reused most of the logic in go-mysql-elasticsearch, just modify the code of the Elasticsearch client in the code to MongoDB and it can basically run. In this way, the project go-mysql-mongodb was formed.
I searched for some solutions on Google. At first, I used tungsten-replicator to synchronize MySQL data to MongoDB. This tool is powerful and used for data synchronization between multiple heterogeneous databases. For example, the following is the topology diagram of tungsten-replicator synchronizing MySQL/Oracle data to heterogeneous databases:
later I needed to synchronize MySQL data to Elasticsearch, I found another tool go-mysql-elasticsearch, try it After a while, I found that this tool is relatively lightweight and simple to configure and deploy. The workflow of this tool is as follows: