Hex
Collaborative notebooks and data apps for modern data teams.
Alternatives · 2026
Hosted Apache Superset for open-source business intelligence.
8 hand-curated alternatives from MintedSaaS's directory. See the Preset listing →
Preset is a hosted distribution of Apache Superset, the open-source business intelligence platform. It's built for analysts and data teams who want to avoid infrastructure setup and maintenance while keeping the familiar Superset SQL editor and dashboard-building experience. Preset handles deployment, scaling, and updates in the cloud, so you can focus on queries and visualizations rather than DevOps. The product targets mid-market companies and startups that value open-source tooling but need a managed service to reduce operational friction.
Most teams use Preset to build self-service analytics dashboards from a single SQL query, then share interactive charts with non-technical stakeholders. It fits workflows where speed of setup matters more than deep customization, and where your team already knows SQL or is comfortable learning it. Preset works well if you're migrating from legacy BI tools and want to avoid vendor lock-in through open-source underpinnings, or if you're running a data team in a budget-conscious environment where managed hosting is preferable to running Superset yourself on EC2 or Kubernetes.
Collaborative notebooks and data apps for modern data teams.
Self-service BI with an associative analytics engine.
Cloud analytics tool with a spreadsheet-style interface on warehouses.
Open-source BI tool that lets anyone query and chart data.
Analytics platform combining SQL, Python, and dashboards.
Microsoft's business analytics service for reports and dashboards.
Modern BI platform built around a semantic modeling layer.
Visual analytics platform for exploring and sharing data.
Hex, Metabase, and Sigma are the closest Preset alternatives for quick dashboard building. Hex excels at collaborative notebook-based analytics; Metabase offers a simpler UI for non-technical users; Sigma integrates natively with cloud data warehouses like Snowflake. Qlik Sense, Tableau, and Power BI are heavier enterprise tools with steeper learning curves but more sophisticated drill-down and visualization options.
Yes. Metabase and the open-source Superset itself can be self-hosted at no cost. Hex offers a free tier for individual users. Tableau Public is free but only for public workbooks. Most commercial BI tools like Qlik, Power BI, and Looker require paid seats, though they offer free trials.
Metabase, Sigma, and Qlik Sense are the best bets. Metabase has a no-code query builder and simple drag-and-drop interface. Sigma and Qlik offer visual query editors that don't require SQL knowledge. Preset and Hex assume SQL literacy, so they're best for data-fluent teams.
Nearly all of them do. Sigma, Hex, and Metabase connect directly to Snowflake, BigQuery, Redshift, and Postgres. Preset connects to any database Superset supports, though cloud data warehouse integration is more natural in Sigma. Power BI, Tableau, and Looker have native connectors for most major warehouses.
If your team writes SQL daily, pick Preset, Hex, or Mode. If your team includes business users and analysts without SQL skills, go with Metabase, Sigma, or Qlik Sense. Visual tools are slower for complex queries but faster to learn; SQL tools are the opposite.
Metabase has basic role-based access; Sigma, Qlik, Power BI, and Tableau all support row-level security linked to user identity. Hex offers team-based permissions. Looker has the most granular access controls for enterprise use cases.
Looker, Sigma, and Tableau offer white-label embedding APIs. Power BI supports embedding for customers. Metabase, Preset, and Hex are better for internal team use; white-labeling is not a focus.
Preset and Metabase are the most affordable managed options (starting $100–$300/month). Hex is similar. Sigma, Qlik, and Tableau are mid-tier ($500–$2000/month). Power BI and Looker scale with seat count and usage, often running higher for enterprise deployments.