Multi-Cloud · Object Storage

S3 vs Azure Blob vs Google Cloud Storage (2026)

Last verified: June 18, 2026  ·  Format: Comparison

S3 vs Azure Blob vs Google Cloud Storage is the comparison most teams reach when they pick where their files, backups, datasets, and logs will live in the cloud. All three are tiered object storage services, and at a high level they do the same job: you put data in as objects and get it back by name, while the provider handles durability and scale. The interesting differences are narrower and more practical, namely the storage classes each one offers, how it keeps your data redundant, the minimum durations it bills for cold data, and what it charges to read and move that data back out.

This comparison stays grounded in each provider's own documentation, checked on June 18, 2026. We line the three object stores up side by side, walk through classes, redundancy and minimum durations, look at how pricing and egress differ, and close with a practical decision on which to choose. Because per-gigabyte rates vary by region and redundancy and change often, treat the figures here as starting points and confirm current pricing on each provider's site. For context on object storage itself, see our breakdown of Amazon S3 and Azure Blob Storage.

There is no single absolute winner here. For most teams the deciding factor is the cloud you already run in, because object storage rarely stands alone and your compute, identity, and networking pull you toward one provider. The sections below show where the three differ so you can confirm the fit rather than guess at it.

S3 vs Azure Blob vs Google Cloud Storage at a glance

Before the detail, it helps to see the three object stores side by side. The table below compares them on the dimensions that actually shift a decision: the storage classes or tiers each offers, the redundancy or durability you can expect, the archive minimum duration that locks cold data in, and whether there is a free monthly egress allowance. Every figure is drawn from each provider's own documentation.

The shape is the same across all three, and that is the point: object storage is a mature, commoditized layer. When people frame the question as S3 vs Azure Blob vs Google Cloud Storage, they often expect a clear winner; in practice the stores diverge mainly at the edges, especially archive minimum durations and egress allowances, which is exactly where a workload-specific cost can swing. The next sections unpack those edges.

Storage classes and tiers compared

Every object store gives you a ladder of classes that trade storage price against access speed and retrieval cost. The naming differs by provider, but the rungs map onto each other closely, from a fast, always-ready class at the top to a deep-archive class at the bottom.

Amazon S3 classes

S3 has the widest ladder. S3 Standard is for active data; Intelligent-Tiering moves objects between access tiers automatically; Standard-IA and One Zone-IA serve infrequent access, with One Zone trading multi-facility redundancy for lower cost. Express One Zone targets latency-sensitive, single-AZ workloads, and three Glacier classes (Instant Retrieval, Flexible Retrieval, and Deep Archive) handle long-term archive.

Azure Blob tiers

Azure Blob exposes Premium, Hot, Cool, Cold, and Archive tiers. Premium is for high-transaction, low-latency workloads, Hot for frequent access, Cool and Cold for progressively less frequent data, and Archive for long-term retention. The added Cold tier gives Azure a middle rung between Cool and Archive that the others express differently.

Google Cloud Storage classes

Google Cloud Storage keeps a tighter set: Standard, Nearline, Coldline, and Archive. Nearline suits data accessed less than monthly, Coldline less than quarterly, and Archive for data you may read once a year or less. Autoclass can move objects between classes automatically based on access, similar in intent to S3 Intelligent-Tiering.

Durability, redundancy and minimum durations

Durability and redundancy are where the providers describe the same goal in different vocabularies, and the minimum durations are where cold storage quietly locks you in. Reading these three things together is how you avoid an unpleasant bill on data you thought was cheap.

Only Amazon S3 publishes a specific headline durability figure in this set: it is designed for 99.999999999% (11 nines) of data durability, achieved by storing copies across multiple devices and, in most classes, multiple facilities. Azure Blob frames durability through its redundancy choice instead, from locally redundant storage (LRS) within one data center up to read-access geo-zone-redundant storage (RA-GZRS) spread across regions. Google Cloud Storage similarly ties durability to the location type you pick, with regional and multi-region options.

The redundancy menus differ most on Azure, which exposes the widest explicit set: LRS, ZRS, GRS, RA-GRS, GZRS, and RA-GZRS. S3 builds redundancy into the class (multi-facility by default, single-AZ for the One Zone and Express One Zone classes), and GCS offers regional versus multi-region placement plus Autoclass for movement between classes.

Pricing and egress compared

There is no single price for any of these services, and that is the first thing to internalize. You pay across storage, requests, retrievals, and data transfer out, and the totals depend on how much you keep, how often you read it, and where it goes. The per-gigabyte numbers below are vendor list-price examples that vary by region and redundancy, so treat them as starting points and confirm current rates on each provider's pricing page.

• Azure Blob storage starts around Hot $0.0184, Cool $0.01, Cold $0.0036, and Archive $0.002 per GB, billed in binary GiB; these are list examples that vary by region and redundancy.
• Google Cloud Storage storage starts at roughly Standard $0.02, Nearline $0.01, Coldline $0.004, and Archive $0.0012 per GiB per month, with retrieval fees on Nearline, Coldline, and Archive.
• Amazon S3 charges per gigabyte by storage class, with retrieval fees on the infrequent-access and Glacier classes; per-region rates change over time, so confirm them on the AWS pricing page.

Egress is the dimension that most often surprises teams, and here the three differ in a way worth noting. S3 gives a free first 100 GB of internet egress per month. Google Cloud Storage includes 100 GiB of egress from North America in its Always Free tier, alongside 5 GiB of Standard storage and a monthly allowance of Class A and Class B operations. Azure Blob does not offer a comparable free monthly egress allowance in this set. For access-heavy workloads that read and move data constantly, egress and retrieval fees can dwarf the raw storage line, so weigh them deliberately. To understand how region choice shapes both latency and these charges, see our guide to cloud regions, zones, and data residency.

Which object storage to choose

The honest answer to the S3 vs Azure Blob vs Google Cloud Storage question is rarely about the object store in isolation. Object storage is mature and commoditized, the feature gaps are narrow, and the deciding factor is almost always the cloud your compute, identity, and networking already live in. Match the store to the ecosystem first, then refine based on your access pattern.

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