Apache Superset Features

As reported in 25 Apache Superset reviews. Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question. This feature was mentioned in 21 Apache Superset reviews.

As reported in 25 Apache Superset reviews. Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's. This feature was mentioned in 22 Apache Superset reviews.

Based on 26 Apache Superset reviews. Provides business users an interface to easily design, refine and collaborate on their dashboards

As reported in 24 Apache Superset reviews. Using formulas based on existing data elements, users can create and calculate new field values.

Based on 24 Apache Superset reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights. This feature was mentioned in 23 Apache Superset reviews.

Ability to search global data set to find and discover data. 24 reviewers of Apache Superset have provided feedback on this feature.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. 25 reviewers of Apache Superset have provided feedback on this feature.

Based on 23 Apache Superset reviews. Tool automatically suggests data types, schemas and hierarchies.

As reported in 21 Apache Superset reviews. Analyze current and historical trends to make predictions about future events.

As reported in 28 Apache Superset reviews. Communicate complex information clearly and effectively through advanced graphical techniques.

As reported in 24 Apache Superset reviews. Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes. This feature was mentioned in 22 Apache Superset reviews.

As reported in 19 Apache Superset reviews. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

As reported in 19 Apache Superset reviews. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Based on 19 Apache Superset reviews. Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Based on 20 Apache Superset reviews. Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data 19 reviewers of Apache Superset have provided feedback on this feature.

Using formulas based on existing data elements, users can create and calculate new field values 24 reviewers of Apache Superset have provided feedback on this feature.

Based on 24 Apache Superset reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Based on 21 Apache Superset reviews. Allows the user to combine data from multiple sources into a functioning dataset.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying