Preset is a managed Apache Superset analytics service for building dashboards and exploring data connected to SQL databases. It also offers embedded analytics and AI-assisted querying.
Product documentation supports a broad database connector set, dashboards, SQL exploration, access controls, and managed hosting. Pricing is public for Starter and Professional, while Enterprise pricing is custom. One G2 review is too little evidence for a reliable sentiment assessment.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Preset is a managed analytics service built on Apache Superset. Teams connect databases, build charts and dashboards, and explore data using a visual builder or SQL editor.
It offers cloud hosting, workspace and data access controls, embedded dashboards, and optional AI-assisted analytics. Its database documentation states that connected cloud databases must be publicly addressable and that cross-database joins are unsupported.
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Data teams seeking managed Apache Superset for SQL-based dashboards, governed self-service analytics, or customer-facing embedded analytics.
Teams needing a turnkey business-app connector layer or cross-database joins may need other tools or upstream data modeling; Preset connects to publicly addressable databases and documents that cross-database joins are unsupported, and should evaluate alternatives such as Metabase or Sigma instead.
API, CLI, Cloud, SaaS, Web
7.7/10
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
These are documented constraints or practical friction points that may matter before you adopt the product.
A private or locally hosted database may require networking changes or a different deployment approach before analysts can connect it.
Evidence source ↗Teams combining data sources may need to create joined models or a semantic layer outside the BI service.
Evidence source ↗Customer-facing analytics cost can exceed the base authoring subscription, so buyer estimates should include viewer access.
Evidence source ↗Free forever for up to five users and one workspace.
Check current pricing →Unlimited users, three workspaces, RBAC, scheduled email reports and alerts, Slack alerts, multi-region support, and standard customer support. Monthly billing is $25 per user.
Check current pricing →Includes additional workspaces, dbt integration, managed private cloud, SSO and SCIM, audit logs, usage metrics, and enterprise SLA. API access is listed as an add-on.
Check current pricing →Add-on for embedded dashboard viewers; volume discounts are available through sales.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
| Decision factor | Preset.io | Metabase |
|---|---|---|
| Pricing model | Starter is $0 for up to five users; Professional is $20 per user monthly billed annually or $25 per user monthly. | Metabase Starter Cloud is listed at $100 per month and includes five users; additional user pricing is listed separately. Source ↗ |
| Hosting and deployment | Preset Cloud is managed SaaS; Managed Private Cloud and Certified Superset deployment options are also listed. | Metabase offers hosted Cloud plans and a self-hosted open-source edition; some advanced deployment options depend on paid plans. Source ↗ |
| Database connectivity | Preset documents dozens of database connectors and SQLAlchemy URI connections; connected cloud databases must be publicly addressable. | Metabase lists 20+ database and data warehouse connectors across its plans. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Preset.io.
| Product foundation | Apache Superset |
|---|---|
| Deployment | Hosted SaaS; managed private cloud; certified Superset on customer infrastructure |
| Cloud provider | AWS for Preset Cloud; Managed Private Cloud on AWS, GCP, or Azure |
| Cloud regions | US East, US West, Tokyo, and Stockholm; private-cloud regions available by arrangement |
| Database connectivity | Supported databases and SQLAlchemy URI connections |
| API | REST API; Enterprise add-on |
| Free trial | 14-day Professional trial |
| Data processing | Queries run against connected databases; cross-database joins unsupported |
| Security | Documented SAML SSO, SCIM, RBAC, row-level security, TLS 1.2+, AES-256 encryption at rest, and SOC 2 Type 2 |
Verified installation, hosting, administration, or environment details that can affect implementation.
| Cloud hosting | Preset Cloud is a fully hosted SaaS service running on AWS; the vendor lists four cloud regions. Source ↗ |
|---|---|
| Private cloud and customer infrastructure | Managed Private Cloud is offered on AWS, GCP, and Azure. Preset also lists Certified Superset for deployment on customer infrastructure. Source ↗ |
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
Preset is built on Apache Superset; Preset says its API extends Superset's REST API, and the product API can import and export charts, dashboards, and datasets as YAML or JSON. Confirm migration scope for any specific deployment before switching.
Evidence source ↗A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
Product documentation supports a broad database connector set, dashboards, SQL exploration, access controls, and managed hosting. Pricing is public for Starter and Professional, while Enterprise pricing is custom. One G2 review is too little evidence for a reliable sentiment assessment.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 5 documented sources.
The product page describes Preset Cloud as a fully hosted service for Apache Superset.
View source ↗Verified 2026-11-07The official pricing page lists Starter at $0 for up to five users and Professional at $20 per user per month billed annually, or $25 monthly billed monthly.
View source ↗Verified 2026-11-07The official database connection guide lists supported databases and support for databases accessible through SQLAlchemy URIs.
View source ↗Verified 2026-11-07The API page describes user, workspace, chart, dashboard, dataset, database connection, and permissions management, including asset import and export.
View source ↗Verified 2026-11-07The security page describes SAML SSO, user provisioning through SCIM, RBAC, and row-level security.
View source ↗Verified 2026-11-07The database connection documentation explicitly identifies this as unsupported and recommends maintaining a semantic layer outside the BI tool.
View source ↗Verified 2026-11-07Answers begin with the clearest available response, followed by the context that helps you act on it.
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