Preset
Managed Apache Superset with embedded analytics, semantic layer, and an AI chatbot
What is Preset?
Preset is a managed enterprise BI platform built on Apache Superset by the project's original creator, offered as SaaS, managed private cloud, on-prem, or embedded. It combines drag-and-drop dashboards, a collaborative SQL IDE, a semantic layer, and a native AI chatbot for conversational analytics. Because everything is open-source Superset under the hood, charts and dashboards remain portable with no vendor lock-in.
Data warehouses, analytics, business intelligence, product analytics, and AI data workflow tools.
See the full Data & Analytics guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Standing up self-serve BI on top of Snowflake, BigQuery, or Redshift without operating Superset
Embedding interactive customer-facing dashboards in a SaaS product with viewer-based pricing
Migrating from legacy BI (Looker, Tableau) while preserving open-source portability
Centralizing dbt models into a governed semantic layer that powers exploration
Fit to evaluate
Data teams that prefer Superset but don't want to run it
SaaS companies embedding analytics into their app
Open-source-leaning enterprises avoiding proprietary BI lock-in
dbt-centric analytics engineering teams
Business fit
Right for you if you want enterprise Superset without the operational burden, or if you are embedding interactive dashboards into a product and need volume viewer licensing. Compelling when avoiding lock-in matters and you want the option to take dashboards back to self-hosted Superset. Skip if a tightly integrated Tableau or Power BI ecosystem is already standardized. Also skip if you cannot tolerate Apache Superset's chart vocabulary or its SQL-first authoring model.
How to evaluate Preset
Use this category when leaders need faster, clearer answers from business data.
Confirm the exact workflow
Map Preset to one concrete workflow first, such as standing up self-serve bi on top of snowflake, bigquery, or redshift without operating superset. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare data connectors, modeling, dashboarding, governance, and AI query features.
Compare practical alternatives
Shortlist Preset against dbt, Fivetran, Airbyte so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Starter is $0 forever for up to 5 users. Professional is $20/user/month billed annually or $25/user/month billed monthly, with a 14-day AI Chatbot trial. Embedded dashboards add-on is $500/month for 50 viewer licenses. Enterprise is custom and adds Managed Private Cloud, SSO/SCIM, audit logs, dbt integration, and SLA. Also confirm implementation time, support needs, and whether the medium setup matches your team.
Compare Preset with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Standing up self-serve BI on top of Snowflake, BigQuery, or Redshift without operating Superset, Embedding interactive customer-facing dashboards in a SaaS product with viewer-based pricing |
|---|---|
| Best-fit team | Data teams that prefer Superset but don't want to run it, SaaS companies embedding analytics into their app |
| Implementation effort | Medium setup and maintenance profile |
| Pricing check | Free plan + paid plans |
| Closest alternatives | dbtFivetranAirbyteCensus |
Preset pricing
| Model | Free plan + paid plans |
|---|---|
| Snapshot | Starter is $0 forever for up to 5 users. Professional is $20/user/month billed annually or $25/user/month billed monthly, with a 14-day AI Chatbot trial. Embedded dashboards add-on is $500/month for 50 viewer licenses. Enterprise is custom and adds Managed Private Cloud, SSO/SCIM, audit logs, dbt integration, and SLA. |
| Checked |
Common questions about Preset
What is Preset?
Preset is a managed enterprise BI platform built on Apache Superset by the project's original creator, offered as SaaS, managed private cloud, on-prem, or embedded. It combines drag-and-drop dashboards, a collaborative SQL IDE, a semantic layer, and a native AI chatbot for conversational analytics. Because everything is open-source Superset under the hood, charts and dashboards remain portable with no vendor lock-in.
What is Preset used for?
Common use cases: Standing up self-serve BI on top of Snowflake, BigQuery, or Redshift without operating Superset; Embedding interactive customer-facing dashboards in a SaaS product with viewer-based pricing; Migrating from legacy BI (Looker, Tableau) while preserving open-source portability; Centralizing dbt models into a governed semantic layer that powers exploration.
How much does Preset cost?
Starter is $0 forever for up to 5 users. Professional is $20/user/month billed annually or $25/user/month billed monthly, with a 14-day AI Chatbot trial. Embedded dashboards add-on is $500/month for 50 viewer licenses. Enterprise is custom and adds Managed Private Cloud, SSO/SCIM, audit logs, dbt integration, and SLA.
Who is Preset best for?
Preset fits Data teams that prefer Superset but don't want to run it, SaaS companies embedding analytics into their app, Open-source-leaning enterprises avoiding proprietary BI lock-in, dbt-centric analytics engineering teams. Right for you if you want enterprise Superset without the operational burden, or if you are embedding interactive dashboards into a product and need volume viewer licensing. Compelling when avoiding lock-in matters and you want the option to take dashboards back to self-hosted Superset. Skip if a tightly integrated Tableau or Power BI ecosystem is already standardized. Also skip if you cannot tolerate Apache Superset's chart vocabulary or its SQL-first authoring model.
What are alternatives to Preset?
Common alternatives to Preset include dbt, Fivetran, Airbyte, Census, Hightouch, Segment.