shouldiuse.io

VERDICT

Should I use Preset (AI-Native BI on Apache Superset)?

AI-native business intelligence built on Apache Superset. Dashboards, embedded analytics, self-service exploration, and conversational AI. - preset.io

Depends. Buy if your team is SQL-comfortable and wants managed Superset at a lower cost than legacy BI. Skip it if you need no-code dashboards for business users — Metabase or a spreadsheet fits better.

Confidence

Medium. Based on 14 public sources; no named enterprise customers found in evidence, and third-party pricing reports conflict.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support-quality evidence in sources
  • Security posture

Pricing

AU$2,000–5,000/mo

Standard

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
ProAU$5,000–15,000/mo

Best for

  • SQL-comfortable data teams
  • Mid-size orgs replacing legacy BI
  • Product teams embedding analytics
  • Cost-sensitive teams wanting an open-source escape hatch

Not for

  • Small teams needing a simple dashboard tool
  • Non-technical users who can't write SQL
  • Teams wanting Metabase-style no-code exploration
  • Buyers needing built-in drill-downs today

Gotchas - check before you buy

medium

Pricing reports conflict: $25/user/mo vs AU$2,000–5,000/mo tiers. Get a written quote first.

medium

Migration to open-source Superset is possible, but the migration work is yours.

medium

Superset's CVE history means you depend on Preset's patching speed.

low

Annual billing saves 20% but commits you for a year.

Pros and cons

Pros

  • Vendor runs infrastructure, upgrades, and security patching for you
  • Huge visualization selection plus SQL Lab for ad-hoc queries
  • SOC 2 Type II, SSO/SAML, SCIM, RBAC, row-level security
  • Charts can migrate to open-source Superset, limiting lock-in
  • G2 users praise ease of use for technical and non-technical users

Cons

  • Forces SQL for every chart; lacks drill-downs
  • Managed tiers reportedly run AU$2,000–15,000/month depending on scale
  • Underlying Superset has had SQL injection and access-control CVEs
  • Third-party pricing reports conflict, complicating budget planning
  • Reviewers say Metabase is easier for non-technical business users

Sources & method

Analyzed 9/20/2026 - 14 sources - Preset is SOC 2 Type II with SSO/SAML, SCIM, RBAC, row-level security, and audit logging; the CVEs below affect upstream Apache Superset, which the managed service patches.

official x1review x10security x3
  • Superset access-control flaw, Low-privileged users could access restricted data; 20,000+ Superset instances reported at risk. Affects upstream; Preset runs and patches it for customers.
  • CVE-2023-49736: Superset SQL injection, SQL injection vulnerability in Apache Superset enabling malicious queries; affects versions before the fix, per SentinelOne.
  • 2023 RCE and credential-harvesting disclosures, Horizon3 disclosed RCE and credential-harvesting attack chains in Superset alongside earlier CVEs.

Key stats

  • Value for money: 4/5

    Rating

  • AU$2,000–5,000/mo

    Starting price

  • 14

    Sources

  • Analyzed

  • Value for money: 4/5. Open-source core and migration path undercut legacy BI costs
  • Ease of use: 3/5. G2 praises ease; other reviewers say SQL is forced
  • Feature depth: 4/5. Vast viz library, SQL Lab, embedded analytics, AI features
  • Support quality. No support-quality evidence in sources
  • Security posture: 4/5. SOC 2 Type II; upstream CVEs patched by managed service
  • $25/user/mo Entry price (reported) checkthat.ai; other reports conflict
  • AU$2k–5k/mo Standard tier for ~50–100 users
  • $0 Open-source core Apache 2.0 licensed
  • 20% Annual billing discount vs month-to-month

Pricing

Standard

AU$2,000–5,000/mo

  • ~50–100 users
  • Usage-based billing

Pro

AU$5,000–15,000/mo

  • Usage-based billing
  • Enterprise-grade features

Security

Preset is SOC 2 Type II with SSO/SAML, SCIM, RBAC, row-level security, and audit logging; the CVEs below affect upstream Apache Superset, which the managed service patches.

  • Superset access-control flawLow-privileged users could access restricted data; 20,000+ Superset instances reported at risk. Affects upstream; Preset runs and patches it for customers.11
  • CVE-2023-49736: Superset SQL injectionSQL injection vulnerability in Apache Superset enabling malicious queries; affects versions before the fix, per SentinelOne.12
  • 2023 RCE and credential-harvesting disclosuresHorizon3 disclosed RCE and credential-harvesting attack chains in Superset alongside earlier CVEs.13

What users say

Reviewers praise Superset's visualization breadth and low cost but say Preset forces SQL and lacks drill-downs.

“Preset offers a very vast selection of visualizations that allow you to show your data in different ways.”
Dynamic Data, BI platforms evaluation
“Preset wraps Apache Superset in a managed service but forces SQL for every chart and lacks drill-downs.”
Mora, Preset Alternatives review
“Superset is great because it's a very compelling BI style tool and it's free!”
Little Miss Data, Apache Superset review

Alternatives

Compare Preset (AI-Native BI on Apache Superset) with each alternative.

Full analysis

Based on 14 public sources; no named enterprise customers found in evidence, and third-party pricing reports conflict.

Managed open-source BI for SQL-comfortable teams; overkill and too SQL-heavy for small teams wanting simple no-code charts.

Methodology

Based on 14 public sources; no named enterprise customers found in evidence, and third-party pricing reports conflict.

Sources

  1. official
  2. review
  3. review
  4. review
  5. review
  6. review
  7. review
  8. review
  9. review
  10. review
  11. security
  12. security
  13. security
  14. review

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