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4.7 out of 5
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Plotly Dash Enterprise
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Plotly Dash Enterprise Features
What are the features of Plotly Dash Enterprise?
Reports
- Reports Interface
- Graphs and Charts
- Dashboards
Self Service
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
Advanced Analytics
- Data Visualization
Statistical Tool
- Scripting
Data Analysis
- Analysis
- Data Interaction
Decision Making
- Report Generation
Dash Categories on G2
Filter for Features
Reports
Reports Interface | Based on 12 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use. | 85% (Based on 12 reviews) | |
Steps to Answer | Requires a minimal number of steps/clicks to answer business question. | Not enough data | |
Graphs and Charts | Based on 19 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats. | 94% (Based on 19 reviews) | |
Score Cards | Score cards visually track KPI's. | Not enough data | |
Dashboards | Based on 18 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards | 88% (Based on 18 reviews) |
Self Service
Calculated Fields | Based on 12 Plotly Dash Enterprise 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. | 90% (Based on 12 reviews) | |
Data Column Filtering | Based on 17 Plotly Dash Enterprise 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. | 84% (Based on 17 reviews) | |
Data Discovery | Based on 15 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights. | 90% (Based on 15 reviews) | |
Search | As reported in 11 Plotly Dash Enterprise reviews. Ability to search global data set to find and discover data. | 85% (Based on 11 reviews) | |
Collaboration / Workflow | Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. | Not enough data | |
Automodeling | Tool automatically suggests data types, schemas and hierarchies. | Not enough data |
Advanced Analytics
Predictive Analytics | Analyze current and historical trends to make predictions about future events. | Not enough data | |
Data Visualization | Based on 14 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques. | 95% (Based on 14 reviews) | |
Big Data Services | Ability to handle large, complex, and/or siloed data sets. | Not enough data |
Building Reports
Data Modeling | Ability to (re)structure data in a manner that allows extracting insights fast and accurate. | Not enough data | |
WYSIWYG Report Design | Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) | Not enough data | |
Integration APIs | 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. | Not enough data |
Statistical Tool
Scripting | Supports a variety of scripting environments 11 reviewers of Plotly Dash Enterprise have provided feedback on this feature. | 91% (Based on 11 reviews) | |
Data Mining | Mines data from databases and prepares data for analysis | Not enough data | |
Algorithms | Applies statistical algorithms to selected data | Not enough data |
Data Analysis
Analysis | Based on 11 Plotly Dash Enterprise reviews. Analyzes both structured and unstructured data | 95% (Based on 11 reviews) | |
Data Interaction | As reported in 11 Plotly Dash Enterprise reviews. Interacts with data to prepare it for visualizations and models | 95% (Based on 11 reviews) |
Decision Making
Modeling | Offers modeling capabilities | Not enough data | |
Data Visualizations | Creates data visualizations or graphs | Not enough data | |
Report Generation | Generates reports of data performance 10 reviewers of Plotly Dash Enterprise have provided feedback on this feature. | 90% (Based on 10 reviews) | |
Data Unification | Unifies information on a singular platform | Not enough data |
Model Development
Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | Not enough data | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models | Not enough data | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development | Not enough data | |
Model Training | Supplies large data sets for training individual models | Not enough data | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development | Not enough data | |
Model Training | Supplies large data sets for training individual models | Not enough data | |
Feature Engineering | Transforms raw data into features that better represent the underlying problem to the predictive models | Not enough data |
Machine/Deep Learning Services
Computer Vision | Offers image recognition services | Not enough data | |
Natural Language Processing | Offers natural language processing services | Not enough data | |
Natural Language Generation | Offers natural language generation services | Not enough data | |
Artificial Neural Networks | Offers artificial neural networks for users | Not enough data | |
Computer Vision | Offers image recognition services | Not enough data | |
Natural Language Understanding | Offers natural language understanding services | Not enough data | |
Natural Language Generation | Offers natural language generation services | Not enough data | |
Deep Learning | Provides deep learning capabilities | Not enough data |
Deployment
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure | Not enough data | |
Application | Allows users to insert machine learning into operating applications | Not enough data | |
Scalability | Provides easily scaled machine learning applications and infrastructure | Not enough data | |
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure | Not enough data | |
Application | Allows users to insert machine learning into operating applications | Not enough data | |
Scalability | Provides easily scaled machine learning applications and infrastructure | Not enough data |
Data Transformation
Real-Time Analytics | Facilitates analysis of high-volume, real-time data. | Not enough data | |
Data Querying | Allows user to query data through query languages like SQL. | Not enough data |
Connectivity
Hadoop Integration | Aligns processing and distribution workflows on top of Apache Hadoop | Not enough data | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Spark | Not enough data | |
Multi-Source Analysis | Integrates data from multiple external databases. | Not enough data | |
Data Lake | Facilitates the dissemination of collected big data throughout parallel computing clusters. | Not enough data |
Operations
Data Visualization | Processes data and represents interpretations in a variety of graphic formats. | Not enough data | |
Data Workflow | Strings together specific functions and datasets to automate analytics iterations. | Not enough data | |
Governed Discovery | Isolates certain datasets and facilitates management of data access. | Not enough data | |
Embedded Analytics | Allows big data tool to run and record data within external applications. | Not enough data | |
Notebooks | Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations | Not enough data |
System
Data Ingestion & Wrangling | Gives user ability to import a variety of data sources for immediate use | Not enough data | |
Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | Not enough data | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models | Not enough data |
Data Preparation
Connectors | Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. | Not enough data | |
Data Governance | Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data | Not enough data |
Data Modeling and Blending
Data Querying | Using formulas based on existing data elements, users can create and calculate new field values | Not enough data | |
Data Filtering | Business users have the ability to filter data in a report based on predefined or automodeled parameters. | Not enough data | |
Data Blending | Allows the user to combine data from multiple sources into a functioning dataset. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text-to-Image | Provides the ability to generate images from a text prompt. | Not enough data |
Agentic AI - Analytics Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Data Science and Machine Learning Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Deployment & Integration - Analytics Platforms
No-code Dashboard Builder | Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces | Not enough data | |
Report Scheduling and Automation | Enables automated report generation and scheduled delivery to stakeholders | Not enough data | |
Embedded Analytics and White-labeling | Allows dashboards and analytics to be embedded into external apps with branding flexibility | Not enough data | |
Data Source Connectivity | Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications | Not enough data |
Performance & Scalability - Analytics Platforms
Large data handling and Query Speed | Efficiently processes large datasets with minimal lag and ensures high performance under load | Not enough data | |
Concurrent User Support | Maintains performance and uptime during high traffic from multiple users or teams | Not enough data |
Advanced Analytics & Modeling - Analytics Platforms
Data Modeling and Governance | Supports semantic data layers, role-based access controls, and metadata governance | Not enough data | |
Notebook and Script Integration | Integrates with Jupyter, Python, or R for custom analytics and modeling | Not enough data | |
Built-in Predictive and Statistical Models | Provides native tools for statistical analysis, forecasting, and trend prediction | Not enough data |
Agentic AI Capabilities - Analytics Platforms
Auto-generated Insights and Narratives | Uses AI to generate textual summaries, key takeaways, and data stories from dashboards | Not enough data | |
Natural Language Queries | Allows users to query data and build reports using conversational or plain language | Not enough data | |
Proactive KPI Monitoring and Alerts | Detects and notifies users about KPI anomalies or significant metric changes in real time | Not enough data | |
AI Agents for Analytical Follow-ups | Recommends next questions, analyses, or exploration paths using autonomous AI agents | Not enough data |
Personalized Intelligence - Analytics Platforms
Behavioral Learning for Contextual Query Refinement | Learns from historical user interactions to improve and personalize query results over time | Not enough data | |
Role-based Insight Personalization | Tailors dashboard views and suggestions based on user roles, access levels, and past behavior | Not enough data | |
Conversational and Prompt-based Analytics | Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying | Not enough data |
Plotly Dash Enterprise Comparisons
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