# Riding the Raft to Strong Consistency in ScyllaDB

DevFeed: [Riding the Raft to Strong Consistency in ScyllaDB](<https://devfeed.tech/articles/riding-the-raft-to-strong-consistency-in-scylladb-4866.md>)

Original publisher: [Read original article](<https://www.scylladb.com/2026/06/24/raft-strong-consistency/>)

Author: Cynthia Dunlop

Published: 2026-06-24T16:51:27Z

Content type: article

Language: en

Sources: [ScyllaDB](<https://devfeed.tech/sources/scylladb.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>)

Tags: [2026-2](<https://devfeed.tech/tags/2026-2.md>), [availability](<https://devfeed.tech/tags/availability.md>), [cassandra](<https://devfeed.tech/tags/cassandra.md>), [database](<https://devfeed.tech/tags/database.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [performance](<https://devfeed.tech/tags/performance.md>), [raft](<https://devfeed.tech/tags/raft.md>)

## AI overview

The article explains ScyllaDB's use of per-tablet Raft groups to provide strong consistency while retaining parallelism. It contrasts this with ScyllaDB's Cassandra-compatible, eventually consistent model and discusses the tradeoffs among latency, availability, and consistency.

## Source excerpt

How ScyllaDB is using per-tablet Raft groups to bring strong consistency to data, without sacrificing the parallelism that makes it fast