Data

Preset

Managed cloud platform for Apache Superset analytics

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★4.4ratingPricing · FreemiumStable
The FalcoScan Intel PanelPreset · Data
Data updated 1 November 2026
Opportunity
Low
Band
Saturation
Contested
Band
Wrapper risk
Low
Band
Momentum
Stable
Market trend
Rating
4.4
of 5 · FalcoScan rating

Data AI has a wide moat on average, from the moat scores of its rated products. What protects Data AI tools, and the widest moats

The Brief

What Preset does

Preset is the fully managed version of Apache Superset — an open-source BI tool with rich visualizations, SQL editor, and no-code chart builder. Enterprise-ready from day one.

How Preset compares with its closest alternatives

All 5 closest alternatives have a free plan, as Preset does. All 5 offer an API, as Preset does. Preset offers a web app. Of the alternatives, all 5 offer a web app. Preset was founded in 2019; the alternatives were founded between 2013 and 2021, 3 of them earlier. Preset is based in San Francisco, United States; 1 of the 3 alternatives with a known headquarters is in the United States too, and the others in Canada and the United Kingdom.

Market position · Data

How Preset compares in Data

Preset has low opportunity and sits in the bottom third of 402 live Data tools on FalcoScan. Across Data, the average opportunity score is 69.2 and the average saturation score 33.3. FalcoScan rates Preset's own market position as contested. 128 of the 402 operating Data tools have hot momentum, and FalcoScan has recorded 8 shutdowns in the category.

Preset compared with its closest alternatives
ProductOpportunitySaturationPricingPricing fromFree planAPIPlatformsMomentum
PresetFounded 2019 · San Francisco, United StatesLowContestedFreemium—YesYesWebStable
SupersetFounded 2015LowContestedFree—YesYesWeb, DesktopStable
EvidenceFounded 2021 · Toronto, CanadaModerateOpenFree—YesYesWeb, DesktopHot
LightdashFounded 2021 · London, United KingdomModerateContestedFreemium—YesYesWeb, DesktopHot
RedashFounded 2013 · San Francisco, United StatesLowContestedFree—YesYesWeb, DesktopStable
dbt CloudFounded 2016HighOpenFreemium—YesYesWebHot

Exact opportunity and saturation scores for all 6 of these, and where each ranks in Data.

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What it ships with

Capabilities & who uses it

The capabilities Preset exposes to builders and the verticals it currently serves.

AI Capabilities
VisualizationSql Generation
Industry Verticals
Technology
Tagged

Preset shows up when builders search for these

supersetmanaged-biopen-sourcechartssql
Similar tools · Data

Alternatives to Preset

Products still running that do the same job, from the data market and related ones, closest match first.

See the Data market
Data
Superset

Apache open-source BI platform for data exploration

★ 4.4Opportunity Low
Free
Data
Evidence

Code-based BI for developers with full control

★ 4.6Opportunity Moderate
Free
Data
Lightdash

Open-source BI built on dbt for analytics engineers

★ 4.6Opportunity Moderate
Freemium
Data
Redash

Open-source data visualization for SQL users

★ 4.4Opportunity Low
Free
Data
dbt Cloud

The data transformation layer for modern analytics stacks

★ 4.7Opportunity High
Freemium
Data
Starburst

Query data wherever it lives without moving it

★ 4.4Opportunity Moderate
Paid
Featured in
Questions

Preset: common questions

Is Preset free?

Preset has a free tier, with paid plans.

What are the best alternatives to Preset?

The closest alternatives to Preset that are still running, matched on the AI capabilities, uses and audience they share, are Superset, Evidence, Lightdash, Redash, and dbt Cloud.

Is Preset still running?

Yes. As of 1 November 2026, FalcoScan lists Preset as operating at preset.io.

Where is Preset based?

Preset is headquartered in San Francisco, United States.

Does Preset have an API?

Yes. Preset offers an API.

Who is Preset for?

Preset is built for analysts and data engineers.

How do I sign in to Preset?

Sign in on Preset's own website, preset.io. FalcoScan reviews Preset but does not run its accounts, so logins, passwords and billing are handled by Preset directly.

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