Turn data from your existing databases into interactive charts, dashboards, and actionable insights with Apache Superset running on your own AccuWeb.Cloud instance.
Deploy a self-hosted Superset environment in minutes and maintain control over your analytics platform and cloud infrastructure.
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Choose the CPU, RAM, and storage for your Apache Superset instance and scale resources as your datasets, queries, and concurrent users grow.
| Plan | vCPU | RAM | Hourly Price | Monthly Price | |
|---|---|---|---|---|---|
Popular | PROMO PRICE | Get StartedGet Started |
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Pricing comparison based on equivalent configurations as of 1 August 2026.
Connect supported SQL-based databases and data engines, then explore and visualize their data from a centralized Superset environment.
Shown as compatible ecosystems where the appropriate Superset database driver and configuration are available. Superset primarily queries connected data sources — it does not automatically preconfigure every database or copy your data into itself.
Connect
Explore
Analyze
Visualize
Dashboard
Build useful visualizations from configured datasets without writing every analysis as a SQL query.
Use Superset's SQL workspace to query supported connected databases, inspect metadata, and prepare data for deeper analysis.
SQL Lab does not remove database permission or security requirements.
Combine multiple visualizations into interactive dashboards that help teams explore and understand their data.
KPIs, trends, and high-level business indicators.
Operational metrics, activity, and workflow information.
Detailed charts, filters, drill-down exploration, and datasets.
Apache Superset includes a semantic layer that can help teams define reusable metrics, calculated columns, and datasets for consistent visualization and analysis.
Explore datasets, write SQL, create visualizations, and build dashboards.
View dashboards and explore approved business metrics.
Connect supported data infrastructure and configure analytics access.
Create operational dashboards around application, customer, or business data.
Apache Superset is an open-source analytics and visualization platform that organizations can use when they want a self-hosted approach to business intelligence instead of relying entirely on a proprietary SaaS BI environment.
Users evaluating platforms such as Power BI, Tableau, or other hosted BI solutions may consider Superset when infrastructure control and open-source deployment are important requirements.
Third-party product names and trademarks belong to their respective owners. Features and deployment models differ between platforms.
PostgreSQL · MySQL · MariaDB · ClickHouse · SQL Server · Snowflake · BigQuery · Trino
Apache Superset Engine · SQL Lab · Visual Explorer · Datasets & Metrics · Dashboards · Roles & Permissions
Dedicated Cloud Instance · Dedicated vCPU · Fast RAM · High-Speed NVMe/SSD · Private Networking · Firewall Rules · Root Access
Run your complete business-intelligence application on dedicated cloud infrastructure held entirely under your administrative control.
HTTPS when configured. Compliance is not claimed by default, and AccuWeb.Cloud does not automatically configure Superset's security policies on your behalf.
Choose Apache Superset from the AccuWeb.Cloud marketplace.
Select CPU, RAM, and storage for your expected analytics workload.
Launch your Superset-ready cloud instance.
Connect supported data sources and begin creating datasets, charts, and dashboards.
Login details are sent to your registered email address after deployment.
Start with the resources your analytics environment needs today and upgrade your instance as queries, users, and analytical datasets increase.
Some resource resizing changes may require a quick instance reboot.
These backups cover your Superset application and metadata instance. Connected external databases maintain their own independent backup policies.
Pay only for the cloud resources you use, with flexible hourly and monthly billing and no long-term commitments.
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Run Apache Superset on your own AccuWeb.Cloud instance and turn connected data into interactive visualizations and dashboards.
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