Pentaho Features

Based on 36 Pentaho reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use.

Based on 33 Pentaho reviews and verified by the G2 Product R&D team. Requires a minimal number of steps/clicks to answer business question.

Based on 33 Pentaho reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats.

Based on 28 Pentaho reviews and verified by the G2 Product R&D team. Score cards visually track KPI's.

Based on 33 Pentaho reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards

Based on 35 Pentaho reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values.

Based on 36 Pentaho reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Based on 35 Pentaho reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights.

Based on 24 Pentaho reviews and verified by the G2 Product R&D team. Analyze current and historical trends to make predictions about future events.

Based on 30 Pentaho reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques.

Based on 25 Pentaho reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

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.

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

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

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