--- title: Sundial Reviews meta_title: 'Sundial Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how Sundial works for a business like yours. aggregate_rating: rating_value: 5.0 review_count: 1 scale: '5' date_modified: '2026-09-22' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # Sundial Reviews **Vendor:** Sundial **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 5.0/5.0 **Total Reviews:** 1 ## About Sundial Sundial is an AI-powered analytics platform designed to transform how organizations make data-driven decisions. By integrating advanced artificial intelligence with expert analytical frameworks, Sundial enables users across various departments to access, interpret, and act upon complex data insights without requiring extensive technical expertise. At its core, Sundial functions as an agentic analytics platform that seamlessly integrates with existing data stacks and large language model (LLM) tools. This integration allows for rapid deployment and immediate value realization, eliminating the traditional delays associated with data modeling and dashboard creation. ([sundial.so](https://www.sundial.so/?utm\_source=openai)) One of Sundial's standout features is its ability to perform complex analyses beyond simple metric look-ups. It proactively surfaces insights, even addressing questions users may not have considered, and communicates these findings through familiar channels such as Slack, Teams, and other collaborative platforms. This ensures that critical information is accessible within the workflows teams already use. ([sundial.so](https://www.sundial.so/?utm\_source=openai)) Data quality and trust are paramount in Sundial's design. The platform includes agents that audit data quality, handle data modeling, and conduct in-depth analyses, ensuring that every team receives reliable insights. It also provides transparency by indicating the confidence level of its answers, helping users discern between guaranteed results and directional guidance. ([sundial.so](https://www.sundial.so/?utm\_source=openai)) Sundial's AI platform comprises several key components: - \*\*Context Layer\*\*: Incorporates business context, domain knowledge, semantics, and the company's analytical model to provide relevant and accurate insights. - \*\*Quality Agent\*\*: Validates data quality and recommends additional data capture to enhance analysis. - \*\*Modeling Agent\*\*: Transforms raw data into clean, analysis-ready pipelines, facilitating efficient data processing. - \*\*Analysis Agent\*\*: Executes context-aware analyses using expert playbooks, delivering methodological and repeatable reports. - \*\*Storytelling Agent\*\*: Distills complex analyses into clear narratives and actionable recommendations, making insights comprehensible and actionable for decision-makers. ([sundial.so](https://www.sundial.so/?utm\_source=openai)) Security and compliance are integral to Sundial's operations. The platform is SOC 2 Type II certified, HIPAA compliant, and offers self-hosting options to ensure that sensitive data remains within the organization's control. ([sundial.so](https://www.sundial.so/?utm\_source=openai)) Sundial has demonstrated its effectiveness across various industries. For instance, OpenAI utilized Sundial to automate complex data engineering tasks, achieving comprehensive data visibility almost overnight—a process that would have otherwise taken months. Similarly, Gamma, a startup aiming to disrupt traditional presentation tools, leveraged Sundial to scale from hundreds of thousands to over 50 million users, achieving profitability with a lean team. ([sundial.so](https://www.sundial.so/openai-case-study?utm\_source=openai)) In summary, Sundial empowers organizations to make faster, more informed decisions by providing a trustworthy, AI-driven analytics platform that integrates seamlessly with existing tools, ensures data quality, and delivers actionable insights through user-friendly interfaces. ## Sundial Reviews ### 1. A fast, transparent way to build governed metrics and stakeholder dashboards **Rating:** 5.0/5.0 stars **Reviewed by:** Bharat S. | Senior Analytics Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google One Tap using a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** July 27, 2026 **What do you like best about Sundial?** As a data engineer, the biggest win is how quickly Sundial takes me from a business question to something my stakeholders can actually use. On the modeling side, I can describe a change to our semantic layer in plain language (a new metric, a dimension, a model tweak) and review the generated definitions before anything is applied. It takes most of the repetitive work out of maintaining the layer without giving up control over the final logic, so our metrics stay governed and reusable. Where I've gotten the most mileage is Data Apps. I've used them to replace fixed vendor reports and stand up interactive dashboards for different teams: time-range selectors, breakdown dropdowns to re-slice by segment, and a "View SQL" button on every tile so anyone can see exactly how a number is computed. That transparency has made it far easier for non-technical stakeholders to trust the numbers, and I can build and iterate on a dashboard in a fraction of the time it used to take. **What do you dislike about Sundial?** Mostly small things. For complex or ambiguously defined questions I still like to double-check the generated query against the warehouse before I rely on it. The "View SQL" transparency makes that quick, and I'd love even tighter built-in validation so I can lean on the output with less manual checking. Data Apps are also newer and still maturing (deeper drill-downs and filtering are being polished), though never in a blocking way, and the team ships fixes fast. **What problems is Sundial solving and how is that benefiting you?** A lot of my time used to go into writing repetitive SQL, maintaining one-off metrics, and rebuilding the same reports across different tools. Sundial lets me keep one governed semantic layer and turn it into interactive, self-serve dashboards with the underlying SQL always visible. I spend less time on repeat requests and more on validation and higher-impact analysis, with fewer places for definitions to drift out of sync. - [View Sundial pricing details and edition comparison](https://www.g2.com/products/sundial-sundial/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-27+17%3A55%3A41+-0500&secure%5Bsession_id%5D=31ff54e2-ce8e-4ce8-ad13-bc2ab5fd4955&secure%5Btoken%5D=f9fc3a43a655b7683ceb8c75aa6a7e172c7285be777b6576891a9c208665c3f1&format=llm_user) ## Sundial Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Data Preparation** - Connectors - Data Governance **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending - Data Capture and Transfer **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity - Multiple Data Sources - Query Builder **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support - Database Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics - Ad hoc Query - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Additional Functionality** - Drag & Drop - Secure Data Storage - Data Import/Export - Customizable Branding - Dashboard Creation - Access Controls/Permissions - Real-Time Reporting - Metadata Management - Forecasting - Data Storage Management - Ad hoc Analysis - Ad hoc Reporting - Data Migration - AI Copilot - Self Service Data Preparation - Search/Filter - Data Mapping - Monitoring - Sentiment Analysis - User Management - Sales Trend Analysis - Charting - Reporting & Statistics - Performance Metrics - Alerts/Notifications - Data Extraction - Widgets - Storytelling - Trend Analysis - Collaboration Tools - Financing Management - Self-service Analytics - KPI Monitoring - Dashboard - API - Data Integration - Scorecards - Data Management - Task Management - Progress Tracking - Data Connectors - Data Visualization - Profitability Analysis - Project Tracking - Strategic Planning - Goal Setting/Tracking - Publishing/Sharing - Predictive Analytics - Real-Time Monitoring - Templates - Mobile Access - Customizable Templates - Workflow Management - Financial Reporting - Audit Management - OLAP - Single Sign On - Data Synchronization ## Top Sundial Alternatives - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (4,068 reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - 4.5/5.0 (1,605 reviews) - [Looker](https://www.g2.com/products/looker/reviews) - 4.4/5.0 (1,589 reviews)