PopSQL Features
Reports (8)
Reports Interface
Based on 27 PopSQL reviews. Reports interface for standard and self-service reports is intuitive and easy to use.
Steps to Answer
Based on 22 PopSQL reviews. Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts
Offers a variety of attractive graph and chart formats. 24 reviewers of PopSQL have provided feedback on this feature.
Score Cards
Score cards visually track KPI's. 16 reviewers of PopSQL have provided feedback on this feature.
Dashboards
Based on 23 PopSQL reviews. Provides business users an interface to easily design, refine and collaborate on their dashboards
Reports Interface
As reported in 17 PopSQL reviews. Reports interface for standard and self-service reports is intuitive and easy to use.
Share Reports
Based on 19 PopSQL reviews. Receive email reports and notifications regarding metrics.
Steps to Answer
Requires a minimal number of steps/clicks to answer business question. This feature was mentioned in 13 PopSQL reviews.
Self Service (6)
Calculated Fields
Based on 17 PopSQL reviews. Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters. This feature was mentioned in 26 PopSQL reviews.
Data Discovery
Users can drill down and explore data to discover new insights. 26 reviewers of PopSQL have provided feedback on this feature.
Search
As reported in 30 PopSQL reviews. Ability to search global data set to find and discover data.
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. This feature was mentioned in 30 PopSQL reviews.
Automodeling
Based on 12 PopSQL reviews. Tool automatically suggests data types, schemas and hierarchies.
Advanced Analytics (3)
Predictive Analytics
Analyze current and historical trends to make predictions about future events. 15 reviewers of PopSQL have provided feedback on this feature.
Data Visualization
Based on 33 PopSQL reviews. Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services
As reported in 21 PopSQL reviews. Ability to handle large, complex, and/or siloed data sets.
Building Reports (4)
Data Transformation
Based on 20 PopSQL reviews. Converts data formats of source data into the format required for the reporting system without mistakes.
Data Modeling
Based on 20 PopSQL reviews. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.
WYSIWYG Report Design
Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) 17 reviewers of PopSQL have provided feedback on this feature.
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. This feature was mentioned in 14 PopSQL reviews.
Data Updates (5)
Historical Snapshots
As reported in 17 PopSQL reviews. Ability to track historical data.
Real-Time Updating
Track metrics in real time with consistent and frequent updates. This feature was mentioned in 19 PopSQL reviews.
Email Reports
Receive email reports and notifications regarding metric. This feature was mentioned in 12 PopSQL reviews.
Historical Snapshots
Based on 17 PopSQL reviews. Ability to track historical data.
Real-Time Updating
Track metrics in real time with consistent and frequent updates. 17 reviewers of PopSQL have provided feedback on this feature.
Model Development (5)
Language Support
Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
Drag and Drop
Offers the ability for developers to drag and drop pieces of code or algorithms when building models
Pre-Built Algorithms
Provides users with pre-built algorithms for simpler model development
Model Training
Supplies large data sets for training individual models
Feature Engineering
Transforms raw data into features that better represent the underlying problem to the predictive models
Machine/Deep Learning Services (6)
Computer Vision
Offers image recognition services
Natural Language Processing
Offers natural language processing services
Natural Language Generation
Offers natural language generation services
Artificial Neural Networks
Offers artificial neural networks for users
Natural Language Understanding
Offers natural language understanding services
Deep Learning
Provides deep learning capabilities
Deployment (3)
Managed Service
Manages the intelligent application for the user, reducing the need of infrastructure
Application
Allows users to insert machine learning into operating applications
Scalability
Provides easily scaled machine learning applications and infrastructure
System (1)
Data Ingestion & Wrangling
Gives user ability to import a variety of data sources for immediate use
Data Preparation (2)
Connectors
Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.
Data Governance
Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data
Data Modeling and Blending (3)
Data Querying
Using formulas based on existing data elements, users can create and calculate new field values
Data Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Blending
Allows the user to combine data from multiple sources into a functioning dataset.
Maintenance (3)
Data Migration
As reported in 21 PopSQL reviews. Allows data movement from one database to another.
Backup and Recovery
As reported in 22 PopSQL reviews. Provides data backup and recovery functionality to protect and restore a database.
Multi-User Environment
Allows users to access and work on data concurrently, supporting several views of the data. 26 reviewers of PopSQL have provided feedback on this feature.
Management (5)
Data dictionary
Based on 21 PopSQL reviews. Stores the database metadata, that is the definitions of data elements, types, relationships etc.
Data Replication
Based on 19 PopSQL reviews. Creates a copy of the database to maintain consistency and integrity.
Query Language
As reported in 30 PopSQL reviews. Allows users to create, update and retrieve data in a database.
Data Modeling
As reported in 23 PopSQL reviews. Defines the logical design of the data before building the schemas.
Performance Analysis
Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. This feature was mentioned in 23 PopSQL reviews.
Security (2)
Data Encryption
Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. 17 reviewers of PopSQL have provided feedback on this feature.
User Access Control
Allows restricted user acess to modify depending on the access level. This feature was mentioned in 24 PopSQL reviews.
Visualization (4)
Graphs and Charts
As reported in 17 PopSQL reviews. Offers a variety of attractive graph and chart formats.
Score Cards
As reported in 14 PopSQL reviews. Score cards visually track KPI's.
Dashboards
As reported in 18 PopSQL reviews. Provides business users an interface to easily design, refine and collaborate on their dashboards
Formats
Allows one to create and export visualization into various formats (PNG, JPEG, etc.) 14 reviewers of PopSQL have provided feedback on this feature.
Collaboration (3)
Sharing
Provides the ability to easily share visualizations. This feature was mentioned in 23 PopSQL reviews.
Co-Editing
Allows multiple users to edit and create visualizations together. This feature was mentioned in 23 PopSQL reviews.
Devices
Based on 14 PopSQL reviews. Has the ability to edit visualization across devices and device types (e.g. computer and phone).
Generative AI (7)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text-to-Image
Provides the ability to generate images from a text prompt.
Agentic AI - Analytics Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Deployment & Integration - Analytics Platforms (4)
No-code Dashboard Builder
Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation
Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling
Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity
Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications
Performance & Scalability - Analytics Platforms (2)
Large data handling and Query Speed
Efficiently processes large datasets with minimal lag and ensures high performance under load
Concurrent User Support
Maintains performance and uptime during high traffic from multiple users or teams
Advanced Analytics & Modeling - Analytics Platforms (3)
Data Modeling and Governance
Supports semantic data layers, role-based access controls, and metadata governance
Notebook and Script Integration
Integrates with Jupyter, Python, or R for custom analytics and modeling
Built-in Predictive and Statistical Models
Provides native tools for statistical analysis, forecasting, and trend prediction
Agentic AI Capabilities - Analytics Platforms (4)
Auto-generated Insights and Narratives
Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries
Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts
Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups
Recommends next questions, analyses, or exploration paths using autonomous AI agents
Personalized Intelligence - Analytics Platforms (3)
Behavioral Learning for Contextual Query Refinement
Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization
Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics
Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying
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Technology Glossary Features
View definitions of the features and discover new technology terms.
Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.
What is a dashboard and why is it important as a software feature? Our G2 guide can help you understand dashboards and learn more about its types, benefits, and best practices.




