Strong consistency
Strong consistency is a data consistency guarantee under which operations observe completed writes according to a coordinated, authoritative order, so reads reflect current rather than stale state.
API Design Patterns
Strong consistency is a consistency guarantee under which reads reflect the relevant latest committed state and do not proceed across conflicting modifications.
- How it is used
- Guarantees that standard API methods immediately expose successful writes across the resource lifecycle.
- How deep it goes
- Defines read-after-write behavior, replication failures, alternative API shapes, and abort rules for modified paged resources.
- Examples
- Uses ChatRoom creation, message creation, import methods, and paged attachment reads as concrete API scenarios.
- What you can do after
- Design API methods that expose writes consistently or route unavoidable replication delays through explicit custom operations.
Architecting an Apache Iceberg Lakehouse
Strong consistency is a storage property in which successful writes become immediately visible to subsequent reads and operations observe a single current state.
- How it is used
- Supports reliable Iceberg lakehouse operations involving concurrent metadata commits, snapshot reads, ingestion, and cleanup.
- How deep it goes
- Explains immediate visibility and atomic overwrites, but stops short of detailing storage-system implementation internals.
- Examples
- Uses Google Cloud Storage and Azure Data Lake Storage for frequently changing Iceberg feature-store metadata.
- What you can do after
- Evaluate storage backends for predictable Iceberg commits, reads, rollbacks, and metadata visibility.
Read how Architecting an Apache Iceberg Lakehouse explains strong consistency →
Related concepts
- eventual consistencycontrasts with · Eventual consistency is a distributed-data consistency model that allows replicas to differ temporarily but guarantees they converge to a consistent state after updates propagate, typically when no further updates occur.
- consistency modelkind of · A consistency model is a formal specification of how operations on state may be ordered and what values those operations can observe.
- consensusaddressed by · Consensus is sufficient agreement among participants or processes on a shared decision, value, state, assessment, or outcome.
- linearizabilityequivalent to · Linearizability is a consistency property in which each operation appears to take effect atomically at a point between invocation and completion while preserving real-time order.
- create methodconfigures · A create method is an API operation that creates a new resource or domain entity from client-supplied input.
- replicationproduced by · Replication is the creation or maintenance of multiple copies of data, state, or functionality across separate locations or components.
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