Preset (AI-Native BI on Apache Superset)
Depends
Confidence: Medium
Buy if your team is SQL-comfortable and wants managed Superset at a lower cost than legacy BI.
Comparison
Preset (AI-Native BI on Apache Superset) vs Lightdash
Preset (AI-Native BI on Apache Superset) and Lightdash both land on Depends.
Lightdash
Depends
Confidence: Medium
Buy if your team already runs dbt and wants metrics defined once in code.
| Compare | Preset (AI-Native BI on Apache Superset) | Lightdash |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | SQL-comfortable data teams | dbt-native data teams |
| Who it's not for | Small teams needing a simple dashboard tool | Teams without dbt or a modern warehouse |
| Privacy | 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.11 | One public stored XSS advisory from 2024; no security page surfaced in review. |
| Support quality | No support-quality evidence in sources | Customer testimonial cites direct expert access |
| Public sentiment | Reviewers praise Superset's visualization breadth and low cost but say Preset forces SQL and lacks drill-downs.³ | G2 reviewers praise Lightdash for centralizing data and making reports quick and easy to view.⁴ |
| Biggest gotcha | Pricing reports conflict: $25/user/mo vs AU$2,000-5,000/mo tiers. Get a written quote first.⁶ | Trial clock starts when you connect and compile your dbt project, not at signup.16 |
Pick Preset (AI-Native BI on Apache Superset) when
- SQL-comfortable data teams
- Mid-size orgs replacing legacy BI
- Product teams embedding analytics
- Cost-sensitive teams wanting an open-source escape hatch
When Preset (AI-Native BI on Apache Superset) is not a fit
- 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
Pick Lightdash when
- dbt-native data teams
- Analytics engineers treating BI like code
- Scaling fintechs on granular data
When Lightdash is not a fit
- Teams without dbt or a modern warehouse
- Non-technical staff needing company-wide self-serve
- Small teams wanting simple charts with zero setup
Sources
- Preset official sitepreset.ioofficial
review
- BI platforms evaluation: Presetdynamicdata.comreview
review
review
- Preset Pricing: Plans, Costs & Total Ownershipcheckthat.aireview
- Making the Switch to Apache Supersetsamfirke.comreview
- Tool Review: Apache Supersetlittlemissdata.comreview
review
review
- Apache Superset access-control flaw exposureox.securitysecurity
- CVE-2023-49736: Apache Superset SQLi Vulnerabilitysentinelone.comsecurity
security
- Open Source Business Intelligence Toolsmontecarlo.aireview
- Lightdash official sitelightdash.comofficial
- Lightdash fintech page (trial terms, support quote)lightdash.comofficial