IronShard vs. Tigris: Two Takes on Object Storage Built for AI (2026)

Tigris and IronShard are the two entries in this space that were actually designed for AI workloads rather than retrofitted: both are S3-compatible, both charge zero egress, both offer instant copy-on-write forks of buckets, and both speak MCP. The short answer: choose Tigris if you want these AI-native primitives from a single-vendor platform with global-by-default placement; choose IronShard when the requirement is governance, meaning no-account agent provisioning, per-agent policy with recorded denials, a standing governed fork of production with gated promotion, and cryptographically signed audit evidence.

Comparing more providers? See the six-way comparison covering S3, R2, GCS, Azure Blob, and MinIO as well.

At a glance

What is Tigris?

Tigris is globally distributed, S3-compatible object storage purpose-built for AI. It charges zero egress everywhere, prices standard storage at $0.02/GB with infrequent-access and archive tiers below that, and ships genuinely AI-native primitives: instant bucket forks that give experiments isolated writable copies without duplicating storage, whole-bucket snapshots with point-in-time rollback, and an MCP server that lets agents manage buckets and objects as tool calls. Among the providers IronShard compares against, Tigris is the one that took AI workloads seriously first.

What is IronShard?

IronShard is the governed data layer for AI agents: an S3-compatible bucket agents connect to over MCP, with a live fork of production they can safely work on, zero-egress reads by default, per-agent access control, and a signed record of everything they touch. It also runs a public MCP server for object storage, which is how agents provision and operate buckets on their own. Under the hood it fragments, encrypts, and distributes data across multiple storage providers, so no single provider holds a complete file; this is also the basis of its GDPR-everywhere posture. IronShard is in early access.

If both fork buckets and both speak MCP, what is actually different?

Three things: who can provision, what gets governed, and what counts as evidence.

Provisioning. Tigris's MCP server operates against an existing Tigris account and its credentials; a human signs up, creates access keys, and hands them to the agent. IronShard's public Agent MCP server at https://agents-mcp.ironshard.ai/mcp requires no account at all: an agent calls create_bucket with no authentication and no human approval and receives a governed bucket with bucket-scoped credentials and policy-defined limits. The Agent Buckets documentation has the full specification.

Governance. Tigris forks isolate experiments; IronShard forks are part of a policy system. Mirror maintains a standing, governed fork of the production bucket, agents branch it with copy-on-write, and promotion back can be autonomous or gated on human approval with a full diff. Each agent holds its own credentials with policy-defined scopes, and out-of-scope requests are denied and recorded.

Evidence. Tigris logs activity the way good infrastructure does. IronShard's Log seals every access, read, write, and denial into an immutable, cryptographically signed, searchable record; signed audit evidence is the product, not a byproduct.

How do the trust models differ?

Tigris is one vendor's globally distributed platform: your data lives on Tigris infrastructure, and you trust Tigris. IronShard fragments, encrypts, and distributes data across multiple independent storage providers, so no single provider ever holds a complete file, and jurisdiction and provider concentration become policy choices rather than facts of the platform. Neither model is strictly better: Tigris's is simpler and faster to reason about; IronShard's is the basis of its GDPR-everywhere posture and removes any single provider as a point of failure or coercion.

Can agents work on production data on Tigris?

On data already in Tigris, yes, in the sense that matters: forks give agents isolated writable copies instantly, and snapshots roll back mistakes. IronShard's answer is structurally similar and wrapped in governance: Mirror keeps a standing, always-current fork of the production bucket, branches carry per-agent policy, promotion can be gated on human approval with a full diff, and everything that happened on a branch lands in the signed record.

When to choose Tigris

• You want global-by-default placement that automatically keeps data close to wherever workloads run.
• Forks and snapshots for experiments are the AI features you need, without a governance layer around them.
• You are comfortable with a single-vendor trust model and want the operational simplicity that comes with it.

When to choose IronShard

• Agents provision storage automatically, with no pre-existing account or human-issued credentials.
• Performance is adjustable per AI workload: each credential sets its own point on the dial between the zero-egress mix and low-latency placement.
• Multi-provider distribution gives redundancy no single vendor can match: an outage at any one provider does not affect availability, and none can reconstruct a file.
• Each agent needs its own policy-scoped credentials, with denied requests on the record.
• You want a standing, governed fork-and-branch workflow on production data, with promotion gates and a signed record.
• Compliance requires cryptographically signed audit evidence.

FAQ

Is Tigris S3-compatible? Yes, Tigris implements the S3 API on its globally distributed platform. IronShard is also S3-compatible; existing tools connect to either with an endpoint change.

Does Tigris charge egress fees? No, Tigris charges zero egress everywhere, including internet egress. IronShard is also zero-egress by default, with per-credential tuning toward latency, away from the zero-egress mix, when a workload needs it.

Does Tigris support bucket forking like IronShard's Branch? Yes. Tigris forks are instant, isolated, copy-on-write copies, comparable to IronShard's Branch on native buckets. The difference is around the fork: IronShard adds a standing production fork (Mirror), per-agent policy on every branch, promotion gates, and a signed record of everything that happened on the branch.

Can an AI agent create its own Tigris bucket? Through Tigris's MCP server, an agent can create buckets for an account that a human already opened and issued credentials for. On IronShard, an agent needs no account at all: it calls create_bucket on the public Agent MCP server and receives a governed bucket with bucket-scoped credentials.

Is IronShard a good Tigris alternative? They overlap more than any other pair in this space, so it depends on what you are optimizing for. Choose IronShard over Tigris when governance is the requirement: no-account agent provisioning, per-agent scoping with recorded denials, signed audit evidence, and multi-provider data distribution. Choose Tigris over IronShard when you want a single-vendor platform with global low latency.

A markdown version of this page is available at /compare/ironshard-vs-tigris.md. Agent-readable site index: /llms.txt.