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* [[Neo4j]] uses Raft to ensure consistency and safety. <ref>{{Cite web |title=Leadership, routing and load balancing - Operations Manual |url=https://neo4j.com/docs/operations-manual/5/clustering/setup/routing/ |access-date=2022-11-30 |website=Neo4j Graph Data Platform |language=en}}</ref>
* [[RabbitMQ]] uses Raft to implement durable, replicated FIFO queues. <ref>{{Cite web |title=Quorum Queues |url=https://www.rabbitmq.com/quorum-queues.html |access-date=2022-12-14 |website=RabbitMQ |language=en}}</ref>
* [[ScyllaDB]] uses Raft for metadata (schema and topology changes) <ref>{{Cite web |title=ScyllaDB’s Path to Strong Consistency: A New Milestone |url=https://www.scylladb.com/2023/05/04/scylladbs-path-to-strong-consistency-a-new-milestone/}}</ref>
* [[Splunk]] Enterprise uses Raft in a Search Head Cluster (SHC) <ref>{{Cite web |date=2022-08-24| title= Handle Raft issues|url=https://docs.splunk.com/Documentation/Splunk/9.0.0/DistSearch/Handleraftissues| access-date=2022-08-24|website=Splunk |language=en-US}}</ref>
* [[TiDB]] uses Raft with the storage engine TiKV.<ref>{{Cite web |date=2021-09-01 |title=Raft and High Availability |url=https://en.pingcap.com/blog/raft-and-high-availability/ |access-date=2022-06-21 |website=PingCAP |language=en-US}}</ref>
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