PresetPreset streamlines Apache Superset deployment, offering a managed cloud solution for robust data visualization and exploration with a generous free tier.
Key takeaways
- •Preset is a fully managed cloud service for Apache Superset, an open-source data visualization and exploration platform, simplifying analytics deployment and scaling.
- •Best for: Business Intelligence Dashboards.
- •Pricing model: Freemium. There is a free tier.
- •Biggest strength: Fully managed Superset experience.
- •Main limitation: May be overkill for simple dashboards.
- Vendor
- Preset
- HQ
- San Francisco, United States
- Founded
- 2018
- Pricing
- Freemium
Information verified from official product sources.
What is Preset?
Preset is a fully managed cloud service for Apache Superset, an open-source data visualization and exploration platform, simplifying analytics deployment and scaling.
Preset offers a fully managed cloud service for Apache Superset, a powerful open-source data visualization and exploration platform. It simplifies deployment and scaling of analytics.
Have we tested Preset hands-on?
Not yet. This listing is compiled from Preset’s public documentation, pricing pages and changelogs — nothing on this page is presented as a hands-on test result.Preset sits in our testing queue; when we run it, this section will state what we tested, how long for, and what it actually produced. How we review AI tools.
Who is Preset for?
- Business Intelligence Dashboards: Create and share interactive dashboards to monitor key business metrics and trends.
- Data Exploration and Discovery: Allow users to easily query, analyze, and visualize data to uncover insights.
- Embedded Analytics: Integrate data visualizations and dashboards into your own applications.
- Team Collaboration on Data: Enable teams to work together on data analysis and reporting.
- Real-time Data Monitoring: Set up visualizations that update in near real-time for critical operational awareness.
How does Preset work?
- Managed Apache Superset hosting
- Automated scaling and maintenance
- Robust data exploration tools
- Wide range of visualization options
- SQL querying capabilities
- User access and security controls
- Integration with various data sources
What does Preset cost?
| Plan | Price | Best for |
|---|---|---|
| Free | $0 | Individuals and small teams exploring Superset with basic needs. |
| Pro | Custom | Growing teams and businesses requiring enhanced features and support. |
| Enterprise | Custom | Large organizations with advanced security, compliance, and scalability requirements. |
Prices as of , taken from Preset’s public pricing page. Vendors change pricing without notice — check before you buy.
What are the pros and cons of Preset?
- Fully managed Superset experience
- Simplified deployment and scaling
- Leverages powerful open-source Superset
- Designed for enterprise analytics needs
- Generous free tier available
- May be overkill for simple dashboards
- Reliance on Superset's feature set
- Can incur costs at scale
What are Preset's limitations?
- Limited customization of the underlying Superset environment
- Dependence on Preset's managed service for updates
How does Preset compare to Metabase?
| Feature | Preset | Metabase | Tableau |
|---|---|---|---|
| Pricing Model | Freemium | Open-source/Paid | Paid |
| Managed Service | Yes | Self-hosted/Paid Cloud | Paid Cloud |
| Open-source Core | Yes (Apache Superset) | Yes (Metabase) | No |
What are the best alternatives to Preset?
How do I get started with Preset?
- Visit preset.io and sign up for a free account.
- Connect your data sources by providing credentials and connection details.
- Start exploring your data, creating charts, and building interactive dashboards with Apache Superset.
How can I use Preset with SynaBot?
Use a SynaBot assistant to produce the thinking, then move the output into Preset for execution. Every SynaBot assistant is included with the platform membership.
- Content Creator (ZARA) — drafts the copy, captions and campaign angles you'll run through Preset.
- Business Planner (VIKRAM) — decides whether Preset belongs in your stack and what it should replace.
- Project Manager (PACE) — turns the rollout of Preset into owned, dated tasks.
Browse the full AI assistant roster, grab a starting point from the prompt library, or have us wire it together with our AI consultancy service.
Frequently asked questions about Preset
Is Preset free to use?
Preset offers a Freemium pricing model, including a generous free tier for individuals and small teams. Paid tiers are available for more advanced features, support, and higher usage.
What is Apache Superset?
Apache Superset is a modern, open-source data exploration and visualization platform. It allows users to create a wide range of interactive dashboards and charts from various data sources.
What are the benefits of using Preset over self-hosting Superset?
Preset handles the complexities of infrastructure, scaling, security, and updates, freeing you to focus on data analysis. It offers enterprise-grade support and a streamlined experience.
What data sources can Preset connect to?
Preset can connect to virtually any SQL-speaking data source, including popular options like PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, and many others.
How do I get started with Preset?
You can sign up for a free Preset account on their website. Once registered, you can connect your data sources and start building dashboards and visualizations.
Does Preset offer enterprise-level security?
Yes, Preset provides enterprise-grade security features, including role-based access control, single sign-on (SSO) integration, and compliance considerations for secure data analytics.
Do you own Preset? Claim this listing
Are you the creator or an authorized representative of Preset? Claiming is free and lets you verify product information, suggest corrections, update product details, provide official documentation, and keep pricing and features current. Claiming does not affect link attributes or search rankings — outbound vendor links are always nofollow.
Related to Preset
Similar tools
