Preset
AI-native BI built on Apache Superset, delivered as managed cloud, private cloud, on-prem or embedded analytics.
By Preset · 4.2/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Data teams that want an enterprise-managed Apache Superset instead of running the open-source project themselves
- Companies replacing Looker, Tableau or Metabase while keeping charts and dashboards portable to open source
- Product teams embedding governed dashboards and analytics inside customer-facing applications
- Analytics stacks built on Snowflake, Databricks, BigQuery, dbt or a managed semantic layer
- Business users who need self-serve dashboards and plain-English question answering without SQL
Ideal size: 10–500 people · Scale-up with a data or analytics engineering function
Not for
- Teams that need AI analytics on a free or low-cost per-seat plan — the Chatbot is Enterprise-tier
- Buyers who require US government authorizations such as FedRAMP
- Organizations with no analytics engineering capacity to build datasets and a semantic layer
- Companies that only need spreadsheet-style reporting and will not build dashboards
Value metrics scorecard
Time-to-Value
About 1 week
~7 days to first production value
Total Cost of Ownership
$12,000/yr
Starts at $0 · Free Starter tier up to 5 users; Professional $20/user/month billed annually ($25 monthly); Enterprise custom quote.
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Starter: 1 workspace, max 5 users. Professional: unlimited users, 3 workspaces. Embedded viewer licenses $500/month per 50 viewers.
Add-on costs
- Embedded dashboards: viewer licenses from $500/month per 50 viewers
- API access (Enterprise add-on)
- Dedicated support via Slack (Enterprise add-on)
Company & support
Who is behind Preset, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatEnterprise only
- Support portal / ticketsPaid plans
- Community forumAll plans
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Customer support is offered only to Professional and Enterprise customers; Starter users rely on the knowledge base and community. Weekly Office Hours (Tue/Thu) and bi-weekly Hands-On Labs are open to all; Enterprise adds dedicated Slack support and an SLA.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Preset sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- Preset
- Notion
- Caspio
- Fleet
- Airtable
- YAROOMS
Add or change companies
Up to 10 companies including Preset. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Preset ships in AI, and what it asks of your ecosystem.
AI features shipped
Preset Chatbot answers plain-English questions and builds charts, dashboards or written insights grounded in the semantic layer; Preset MCP lets external AI clients (Claude, Cursor, Gemini CLI) drive analytics through tool calls. Vendor states both run through the same RBAC, row-level security and audit logging as dashboards.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Anthropic, Google, OpenAI
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Not supported
- Model key
- Bring your own key
- AI usage audit
- Full audit trail
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Preset is the fully managed commercial Apache Superset platform, built by Superset's original creator. It runs cloud-hosted, private-cloud, on-prem and embedded BI, plus an AI Chatbot and MCP server that expose datasets, charts, dashboards and SQL to AI clients under the same governance. Pricing is free up to five users, $20/user/month billed annually on Professional, and custom on Enterprise. Core buyers are teams replacing Tableau, Power BI or Looker with an open, portable stack.
Frequently asked questions
What does Preset cost for a 50-person data and business team?
Preset Cloud is free forever for up to 5 users on Starter. Professional is $20 per user per month billed annually (or $25 monthly) with unlimited users and 3 workspaces, and Enterprise is custom-priced. Embedded dashboards need viewer licenses starting at $500/month per 50 viewers, while API access and dedicated Slack support are Enterprise add-ons.
How fast can we reach a first production dashboard?
Preset is cloud-hosted with a free Starter tier, so a team can connect a warehouse, build a dataset and publish a dashboard within days; the vendor advertises instant time to dashboards and getting up and running in minutes. Documentation, weekly Office Hours and bi-weekly Hands-On Labs support self-serve onboarding. Heavier governance work such as SSO, RBAC and semantic-layer modeling is typical of Enterprise rollouts.
Are we locked into Preset if we leave?
The vendor positions portability as a core advantage: Preset is built on Apache Superset, and Preset says you can migrate your charts and dashboards to the open-source project. That lowers exit risk compared with closed BI suites, though you would then operate Superset yourself.
What AI capabilities are included, and how is AI priced?
Preset Chatbot returns charts, dashboards or written insights from plain-English questions, and Preset MCP exposes Preset datasets, charts, dashboards and SQL to MCP-compatible clients such as Claude, Cursor or Gemini CLI. Preset says these are part of Enterprise rather than a separate AI SKU; Professional includes a 14-day Chatbot trial, and Enterprise can bring its own OpenRouter API key.
What compliance and security evidence is available?
Preset's AI page states SOC 2 Type II, SSO/SAML with SCIM, row-level security, audit logging and optional HIPAA-eligible deployments, and its privacy policy says customer prompts and responses are not used to train foundation models. Ask for the current trust report and the subprocessor list during due diligence.
How do we get support after go-live?
The knowledge base and open-source community are available to everyone, but ticket support is limited to Professional and Enterprise customers. Enterprise adds dedicated Slack support and an SLA, and the vendor runs open Office Hours twice a week.