Preset alternatives: top competitors compared
Named alongside Preset
MetabaseBest forTeams that want self-service analytics without relying on engineers, and software companies that need to embed analytics in their product100% of Preset answersGoogle Looker Studio100% of Preset answersApache Superset100% of Preset answersMicrosoft Power BI50% of Preset answers
Data from SlateIndex weekly runs
Preset has a visibility score of 0.9 in Business Intelligence, #32 of 47. AI answers that name Preset most often also name these 4.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| Metabase | Teams that want self-service analytics without relying on engineers, and software companies that need to embed analytics in their product | Free; paid from $100 per seat / mo | 21.7% | Open source analytics with a governed semantic layer and AI answers whose underlying query can be inspected |
| Google Looker Studio | — | — | 16.2% | — |
| Apache Superset | — | — | 4.3% | — |
| Microsoft Power BI | — | — | 74.2% | — |
Alternative 1
Metabase vs Preset →Metabase
Metabase suits teams that want self-service analytics without relying on engineers, and software companies that need to embed analytics in their product.
Quick facts
- Free; paid from $100 per seat / mo · per seat
- Free plan available
- 21.7% visibility score · #5 in Business Intelligence
- 237+ native integrations
Key features
- Metabase Business Intelligence — Self-service dashboards, reporting, alerts and a query builder for internal teams, with an open source self-hosted option and Metabase Cloud.
- Metabase Embedded Analytics — Embedded dashboards, visualizations and self-serve reporting for SaaS apps, with multi-tenant data segregation and an embedding SDK.
- Metabot — AI assistant that answers natural-language questions about connected data and can be reached through the MCP server.
- Data Studio — Semantic layer for curating canonical tables, trusted metrics and vetted data sources for people and AI.
Metabase vs Preset
| Dimension | Metabase | Preset |
|---|---|---|
| Visibility score | 21.7% | 0.9% |
| Pricing model | Per seat | Per seat |
| Entry price | Free; paid from $100 per seat / mo | Free; paid from $20 per seat / mo |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- Free open-source edition for self-hosting
- Easy to deploy and user-friendly
- No-code visual builder and SQL for non-technical users
- Affordable, low-cost BI
- Best default starting point for startups and small teams
Cons
- Self-hosting means handling hosting, security, backups and updates yourself
- Extra token-based AI or custom usage fees on top of plans
Alternative 2
Google Looker Studio vs Preset →Google Looker Studio
Google Looker Studio is ranked #9 in Business Intelligence.
Quick facts
- Pricing not available
- 16.2% visibility score · #9 in Business Intelligence
Key features
- Looker Studio — Free browser-based tool for building reports and dashboards from connected data sources.
- Looker Studio Pro — Paid tier, priced per user per month, adding team workspaces, scheduled deliveries, audit logging and Gemini AI features.
Google Looker Studio vs Preset
| Dimension | Google Looker Studio | Preset |
|---|---|---|
| Visibility score | 16.2% | 0.9% |
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $20 per seat / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- Free, user-friendly data visualization tool
- Free core version with transparent low-cost Pro tier
- Good for marketing teams and small businesses
- Strong integration with Google Analytics, Google Ads, Sheets and BigQuery
- Simple, free, cloud-based dashboards with no maintenance
Cons
Alternative 3
Apache Superset vs Preset →Apache Superset
Apache Superset is ranked #19 in Business Intelligence.
Quick facts
- Pricing not available
- 4.3% visibility score · #19 in Business Intelligence
Key features
- Apache Superset — Open source business intelligence project maintained by the Apache Software Foundation.
Apache Superset vs Preset
| Dimension | Apache Superset | Preset |
|---|---|---|
| Visibility score | 4.3% | 0.9% |
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $20 per seat / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- modern open-source data exploration and visualization platform
- handles large datasets well
- strong SQL tooling
- free and powerful
- lower licensing costs
Cons
- best suited to teams with technical staff for deployment and SQL
Alternative 4
Microsoft Power BI vs Preset →Microsoft Power BI
Microsoft Power BI is ranked #1 in Business Intelligence.
Quick facts
- Pricing not available
- 74.2% visibility score · #1 in Business Intelligence
Key features
- Power BI Desktop — Desktop-based interface for building reports.
- Power BI Service — Cloud-based BI service for publishing and sharing reports.
- Power BI Mobile Apps — Mobile apps for viewing Power BI content.
- Power BI Gateway — Connects the Power BI service to on-premises data.
Microsoft Power BI vs Preset
| Dimension | Microsoft Power BI | Preset |
|---|---|---|
| Visibility score | 74.2% | 0.9% |
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $20 per seat / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- Dominant market leader in BI adoption
- Cost-effective, affordable pricing
- Strong fit for Microsoft 365, Azure, and Excel users
- Strong reporting and data connections
- High review score and broad review volume
Cons
- Sharing and team collaboration need a paid license
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Preset | Per seat | Free; paid from $20 per seat / mo |
| Metabase | Per seat | Free; paid from $100 per seat / mo |
| Google Looker Studio | — | — |
| Apache Superset | — | — |
| Microsoft Power BI | — | — |
More alternatives
Ranked by how often AI answers name them alongside Preset in the latest weekly run.