Tigris Data

Name: Tigris Data
Brand: Tigris Data

AI Native

Tigris is a globally distributed S3-compatible object storage service.

Est 2021|Valuation $125M|Raised $39.3M|18 Ref Customers

LinkedIn 2K|Website|Web traffic 16K|FTEs 20|HQ Sunnyvale, California, US

MarketsCloud Infrastructure Providers (IaaS/PaaS)

Published Oct 15, 2026

01Common complaints

Consider alternatives when: - Mature enterprise controls and certifications beyond what is publicly documented are a strict requirement and cannot be obtained under NDA. - The workload is single-region and egress-light; the vendor’s egress model may not provide enough benefit to justify migration. - Proven reliability track record with abundant third-party reviews and transparent incident history is required; community threads reporting reliability issues warrant investigation. - Full feature parity with AWS S3 is required; incompatibilities with specific S3 behaviors can cause application issues. - Minimizing raw storage cost per TB is the only objective and non-zero egress is tolerable; low-cost providers such as Backblaze B2, Wasabi, or Hetzner may offer lower per-GB rates.

Deal disqualifiers (common)

Requirements for specific certifications not publicly documented if contractual assurances are not provided
Strict data residency requirements without contractual support
Dependence on deep hyperscaler-native integrations that require feature parity with native services

Known issues evidenced in sources

Reliability and documentation concerns have been reported in community threads (including reports of HTTP 500 responses).
An operational endpoint/DNS disruption was reported on social channels and required endpoint migration for some customers.

Limitations / gaps (based on accessible public materials)

Limited presence on major review platforms (G2, TrustRadius, Gartner Peer Insights) in the accessible searches.
Public documentation for enterprise security features (SAML SSO, SCIM, audit logs) was not found in the sources collected.
Performance and reliability claims are primarily vendor-authored; buyers should benchmark representative workloads.

02Why they buy

Primary differentiators (phrased neutrally): - Vendor-stated zero egress charges for outbound data transfer. - Global placement and rebalancing of objects intended to reduce cross-region latency. - Dataset cloning/snapshot semantics intended to support experiment isolation and reproducibility. - SDKs and CLI tools intended to simplify integration relative to raw S3 API usage. Competitor advantages to consider: - Major cloud providers (AWS/GCP/Azure) provide broader compliance certifications, deeper native integrations, and more mature operational feature sets. - Cloudflare R2 publishes a lower base storage price in some regions and provides a strong edge distribution story for web-facing content.

03Field reports

Review platform coverage (G2 / TrustRadius / Gartner Peer Insights)

- G2: No accessible, substantial G2 product listing for "Tigris Data" was found in the searches. - TrustRadius: No accessible TrustRadius profile with reviews surfaced in the collected results. - Gartner Peer Insights: No accessible, relevant listing was found in the collected search results. Implication: Buyers should not assume broad third-party review coverage; Tigris appears earlier-stage relative to major incumbents, so community feedback may be more common than formal review-platform coverage.

Community/social proof (neutral/positive signals)

Fly.io community posts indicate integration activity and team engagement from Tigris representatives (for example, a vendor response in a Fly.io thread confirming egress policy and pointing to pricing documentation).
Reddit and other developer forums show historical interest and developer discussion.

Community complaints and negative feedback

A Fly.io community thread titled "Our Experience Dealing with Issues of Tigris Reliability, 500 Responses, and Docs" documents user reports of reliability issues (HTTP 500 responses) and documentation gaps.
A LinkedIn post from Tigris referenced an upstream DNS provider issue that caused endpoint resolution problems, and advised migration to a different endpoint, indicating at least one operational disruption.

Why customers choose Tigris (common themes reported)

Commonly referenced reasons in vendor materials and community discussion include:

Reduction or elimination of egress charges (vendor-stated)
Global distribution to reduce latency
S3 compatibility for compatibility with existing tools
Migration tooling such as Shadow Buckets
Focus on small-object performance

Why some customers might leave (inferred)

Based on community signals and typical buyer concerns, potential churn drivers include:

Reliability incidents (500 errors, endpoint/DNS outages)
Lack of publicly documented enterprise controls (SSO, audit logs, residency options)
Feature parity gaps relative to hyperscalers (object lock/legal hold, advanced lifecycle policies, deep IAM features)

fal.ai (vendor-published case study)

Tigris’ homepage includes a case study stating that fal.ai achieved a reported significant reduction in storage cost after migration. Critical evaluation: - The case study provides a vendor-reported result. The methodology (baseline architecture, request patterns, egress volumes, discounts, and time period) is not independently documented in the public materials reviewed here. - Such savings are plausible in scenarios with substantial prior egress charges, but outcomes depend on workload specifics and contractual terms.

Fly.io customer story about Tigris (ecosystem case study)

Fly.io published a customer story describing integration of Tigris into Fly.io-hosted architecture.

Critical evaluation:

Fly.io is an ecosystem partner and has incentives to present integrations positively. The case study provides architectural detail but should not be treated as an independent analyst assessment.

04Best fit

Company sizes

Based on public positioning and funding stage, likely ICPs include:

Startups to mid-market companies with a moderate number of employees
AI/ML infrastructure teams with frequent data movement and distributed compute needs
Some enterprise teams for specific workloads where contractual assurances can be obtained

Industries

Generative AI and model-driven startups
Developer platforms and SaaS with global media storage needs
Data infrastructure and MLOps organizations

Roles/personas

Platform engineering / infrastructure leads
MLOps and ML engineers
Backend engineers responsible for object storage integrations
FinOps practitioners modeling cost and egress exposure

Pain points addressed

High or unpredictable egress charges when data must move across clouds or regions
Latency from centralized storage for distributed compute
Slow iteration cycles caused by dataset copy overhead

05The pitch

What the product does (objective)

Tigris is a globally distributed, S3-compatible object storage service designed for AI/ML and other latency-sensitive workloads. It offers global-by-default access (data placement and movement closer to where it is accessed), a vendor-stated policy of no data egress charges, and SDKs/CLI intended to simplify integration compared with using raw S3 API approaches. Key product claims include: - S3 API compatibility (works with AWS SDKs/tools) - Vendor-stated “zero egress fees” for outbound data transfer - Performance optimizations for small objects - Global distribution with automatic placement/rebalancing - Dataset forking / snapshots (Git-like workflows for buckets) - Migration tooling (e.g., “Shadow Buckets” for low/no-downtime migration) Primary source: Tigris marketing site.

Target market and positioning

Tigris appears primarily oriented toward: - AI/ML companies (training, inference, agentic workflows) that require frequent movement of data to/from compute across regions and/or clouds - Developer teams building global applications that store large volumes of objects and seek more predictable costs related to egress - Workloads with many small objects (metadata, embeddings, thumbnails, ML artifacts) where object store performance can become a bottleneck Tigris is presented publicly as an alternative to major cloud object storage services (AWS S3, GCS, Azure Blob) and to other low-egress alternatives such as Cloudflare R2.

Get a comprehensive analysis of Tigris Data including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →

Published Oct 15, 2026

01Common complaints

Consider alternatives when:

Mature enterprise controls and certifications beyond what is publicly documented are a strict requirement and cannot be obtained under NDA.
The workload is single-region and egress-light; the vendor’s egress model may not provide enough benefit to justify migration.
Proven reliability track record with abundant third-party reviews and transparent incident history is required; community threads reporting reliability issues warrant investigation.
Full feature parity with AWS S3 is required; incompatibilities with specific S3 behaviors can cause application issues.
Minimizing raw storage cost per TB is the only objective and non-zero egress is tolerable; low-cost providers such as Backblaze B2, Wasabi, or Hetzner may offer lower per-GB rates.

Deal disqualifiers (common)

Requirements for specific certifications not publicly documented if contractual assurances are not provided
Strict data residency requirements without contractual support
Dependence on deep hyperscaler-native integrations that require feature parity with native services

Known issues evidenced in sources

Reliability and documentation concerns have been reported in community threads (including reports of HTTP 500 responses).
An operational endpoint/DNS disruption was reported on social channels and required endpoint migration for some customers.

Limitations / gaps (based on accessible public materials)

Limited presence on major review platforms (G2, TrustRadius, Gartner Peer Insights) in the accessible searches.
Public documentation for enterprise security features (SAML SSO, SCIM, audit logs) was not found in the sources collected.
Performance and reliability claims are primarily vendor-authored; buyers should benchmark representative workloads.

02Why they buy

Primary differentiators (phrased neutrally):

Vendor-stated zero egress charges for outbound data transfer.
Global placement and rebalancing of objects intended to reduce cross-region latency.
Dataset cloning/snapshot semantics intended to support experiment isolation and reproducibility.
SDKs and CLI tools intended to simplify integration relative to raw S3 API usage.

Competitor advantages to consider:

Major cloud providers (AWS/GCP/Azure) provide broader compliance certifications, deeper native integrations, and more mature operational feature sets.
Cloudflare R2 publishes a lower base storage price in some regions and provides a strong edge distribution story for web-facing content.

03Field reports

Review platform coverage (G2 / TrustRadius / Gartner Peer Insights)

G2: No accessible, substantial G2 product listing for "Tigris Data" was found in the searches.
TrustRadius: No accessible TrustRadius profile with reviews surfaced in the collected results.
Gartner Peer Insights: No accessible, relevant listing was found in the collected search results.

Implication: Buyers should not assume broad third-party review coverage; Tigris appears earlier-stage relative to major incumbents, so community feedback may be more common than formal review-platform coverage.

Community/social proof (neutral/positive signals)

Fly.io community posts indicate integration activity and team engagement from Tigris representatives (for example, a vendor response in a Fly.io thread confirming egress policy and pointing to pricing documentation).
Reddit and other developer forums show historical interest and developer discussion.

Community complaints and negative feedback

A Fly.io community thread titled "Our Experience Dealing with Issues of Tigris Reliability, 500 Responses, and Docs" documents user reports of reliability issues (HTTP 500 responses) and documentation gaps.
A LinkedIn post from Tigris referenced an upstream DNS provider issue that caused endpoint resolution problems, and advised migration to a different endpoint, indicating at least one operational disruption.

Why customers choose Tigris (common themes reported)

Commonly referenced reasons in vendor materials and community discussion include:

Reduction or elimination of egress charges (vendor-stated)
Global distribution to reduce latency
S3 compatibility for compatibility with existing tools
Migration tooling such as Shadow Buckets
Focus on small-object performance

Why some customers might leave (inferred)

Based on community signals and typical buyer concerns, potential churn drivers include:

Reliability incidents (500 errors, endpoint/DNS outages)
Lack of publicly documented enterprise controls (SSO, audit logs, residency options)
Feature parity gaps relative to hyperscalers (object lock/legal hold, advanced lifecycle policies, deep IAM features)

fal.ai (vendor-published case study)

Tigris’ homepage includes a case study stating that fal.ai achieved a reported significant reduction in storage cost after migration.

Critical evaluation:

The case study provides a vendor-reported result. The methodology (baseline architecture, request patterns, egress volumes, discounts, and time period) is not independently documented in the public materials reviewed here.
Such savings are plausible in scenarios with substantial prior egress charges, but outcomes depend on workload specifics and contractual terms.

Fly.io customer story about Tigris (ecosystem case study)

Fly.io published a customer story describing integration of Tigris into Fly.io-hosted architecture.

Critical evaluation:

Fly.io is an ecosystem partner and has incentives to present integrations positively. The case study provides architectural detail but should not be treated as an independent analyst assessment.

04Best fit

Company sizes

Based on public positioning and funding stage, likely ICPs include:

Startups to mid-market companies with a moderate number of employees
AI/ML infrastructure teams with frequent data movement and distributed compute needs
Some enterprise teams for specific workloads where contractual assurances can be obtained

Industries

Generative AI and model-driven startups
Developer platforms and SaaS with global media storage needs
Data infrastructure and MLOps organizations

Roles/personas

Platform engineering / infrastructure leads
MLOps and ML engineers
Backend engineers responsible for object storage integrations
FinOps practitioners modeling cost and egress exposure

Pain points addressed

High or unpredictable egress charges when data must move across clouds or regions
Latency from centralized storage for distributed compute
Slow iteration cycles caused by dataset copy overhead

05The pitch

What the product does (objective)

Key product claims include:

S3 API compatibility (works with AWS SDKs/tools)
Vendor-stated “zero egress fees” for outbound data transfer
Performance optimizations for small objects
Global distribution with automatic placement/rebalancing
Dataset forking / snapshots (Git-like workflows for buckets)
Migration tooling (e.g., “Shadow Buckets” for low/no-downtime migration)

Primary source: Tigris marketing site.

Target market and positioning

Tigris appears primarily oriented toward:

AI/ML companies (training, inference, agentic workflows) that require frequent movement of data to/from compute across regions and/or clouds
Developer teams building global applications that store large volumes of objects and seek more predictable costs related to egress
Workloads with many small objects (metadata, embeddings, thumbnails, ML artifacts) where object store performance can become a bottleneck

Tigris is presented publicly as an alternative to major cloud object storage services (AWS S3, GCS, Azure Blob) and to other low-egress alternatives such as Cloudflare R2.

Get a comprehensive analysis of Tigris Data including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →