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Should I use Iguazio?

Iguazio Data Science Platform - iguazio.com

Depends. Buy only if you're a large enterprise with a dedicated ML platform team and an enterprise budget — it's a full lifecycle AI platform sold sales-led. Small teams or startups should pick MLflow, Kubeflow, or a managed cloud option instead.

Confidence

Medium. Based on ~15 public sources; many snippets truncated, few full user reviews, no published pricing.

Ratings

  • Value for moneyNo public pricing to judge
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence found
  • Security posture

Pricing

Not disclosed

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed

Best for

  • Enterprise ML platform teams
  • Production GenAI/ML pipelines at scale
  • Telecom and data-heavy industries
  • Orgs wanting one vendor for the full ML lifecycle

Not for

  • Small teams doing simple model tracking — use MLflow
  • Startups without dedicated MLOps/platform engineers
  • Buyers needing transparent, self-serve pricing
  • Anyone unwilling to run complex ML infrastructure

Gotchas - check before you buy

high

Critical RCE CVE-2026-29042 in Nuclio; keep components patched

medium

No published pricing; expect sales-led enterprise contracts and negotiation

medium

G2 users flag steep complexity and a real learning curve

medium

Guess: MLRun/Nuclio-centric workflows risk lock-in and migration pain later

Pros and cons

Pros

  • End-to-end: data ingestion, pipelines, feature store, deployment in one platform
  • Backed by McKinsey since its 2023 acquisition
  • Real enterprise customers: Grab, NetApp, Payoneer, Quadient
  • Ships its own open-source serverless engine, Nuclio
  • Launched one of the first integrated feature stores (2020)

Cons

  • Users call the platform complex on G2
  • No public pricing; sales-only enterprise quotes
  • Tiny market mindshare: 0.6% per PeerSpot

Sources & method

Analyzed 9/29/2026 - 12 sources - Nuclio component had a critical RCE CVE (Mar 2026) and an authorization advisory (Jun 2026); both patched.

official x1review x6security x2news x3
  • CVE-2026-29042 — Nuclio remote code execution (critical), Critical RCE vulnerability in Iguazio's Nuclio serverless component, disclosed March 2026.
  • Missing authorization on Nuclio project write paths, GitHub advisory GHSA-m8xg-8xg9-mxhm, June 2026; unauthorized project writes were possible.

Key stats

  • Ease of use: 2/5

    Rating

  • Not disclosed

    Starting price

  • 12

    Sources

  • Analyzed

  • Value for money. No public pricing to judge
  • Ease of use: 2/5. Users report complexity
  • Feature depth: 4/5. Full lifecycle, feature store, serverless, GenAI
  • Support quality. No support evidence found
  • Security posture: 3/5. Critical CVE patched; authz advisory fixed
  • 82 Crozdesk score Crozdesk software rating
  • 0.6% PeerSpot mindshare vs TIBCO Data Science
  • $96M Total funding incl. $24M raise, Jan 2020
  • None Public pricing Sales-led enterprise quotes

Pricing

Not disclosed

Security

Nuclio component had a critical RCE CVE (Mar 2026) and an authorization advisory (Jun 2026); both patched.

  • CVE-2026-29042 — Nuclio remote code execution (critical)Critical RCE vulnerability in Iguazio's Nuclio serverless component, disclosed March 2026.⁹
  • Missing authorization on Nuclio project write pathsGitHub advisory GHSA-m8xg-8xg9-mxhm, June 2026; unauthorized project writes were possible.10

What users say

reviews are sparse; G2 users like the capability but consistently call the platform complex.

Alternatives

Compare Iguazio with each alternative.

  • MLflow

    Free, simple experiment tracking for small teams

  • Kubeflow

    Open-source pipelines; harder but no vendor lock-in

    Iguazio vs Kubeflow

  • Google Vertex AI

    Managed pipelines if you're already on GCP

  • TrueFoundry

    Newer MLOps platform with lighter ops overhead

Companies that use it

  • Grab⁸
  • NetApp
  • Payoneer
  • Quadient
Full analysis

Based on ~15 public sources; many snippets truncated, few full user reviews, no published pricing.

Enterprise MLOps suite for big AI teams. No public pricing, steep learning curve — small teams should use MLflow.

Methodology

Based on ~15 public sources; many snippets truncated, few full user reviews, no published pricing.

Sources

  1. Iguazio Reviews 2026: Details, Pricing, & Featuresg2.com
    review
  2. Iguazio Pros and Cons | User Likes & Dislikesg2.com
    review
  3. Iguazio vs TIBCO Data Science comparisonpeerspot.com
    review
  4. iguazio | Software Reviews & Alternativescrozdesk.com
    review
  5. Iguazio Pricing 2026trustradius.com
    review
  6. McKinsey, eyeing the MLOps space, buys Tel Aviv–based Iguaziotechcrunch.com
    news
  7. Iguazio Launches the First Integrated Feature Storebusinesswire.com
    news
  8. Grab Selects iguazio's Unified Data Platformiguazio.com
    news
  9. CVE-2026-29042: Iguazio Nuclio RCE Vulnerabilitysentinelone.com
    security
  10. Nuclio: Missing authorization on project write pathsgithub.com
    security
  11. Iguazio: AI Platformiguazio.com
    official
  12. Best MLOps platform for 2022reddit.com
    review

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