๐๐๐๐ฟ๐ฎ๐๐ผ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ถ๐ ๐ฎ ๐๐ฎ๐ฟ๐ฒ๐ต๐ผ๐๐๐ฒ-๐ป๐ฎ๐๐ถ๐๐ฒ ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐๐ต๐ฎ๐ ๐ฒ๐ป๐ฎ๐ฏ๐น๐ฒ๐ ๐ผ๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ, ๐ฒ๐บ๐ฏ๐ฒ๐ฑ, ๐ฎ๐ป๐ฑ ๐๐ต๐ฎ๐ฟ๐ฒ ๐ถ๐ป๐๐ฒ๐ฟ๐ฎ๐ฐ๐๐ถ๐๐ฒ ๐ฑ๐ฎ๐๐ต๐ฏ๐ผ๐ฎ๐ฟ๐ฑ๐ ๐ฎ๐ป๐ฑ ๐ฑ๐ฎ๐๐ฎ ๐ฎ๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ ๐ผ๐ป ๐๐ผ๐ฝ ๐ผ๐ณ ๐ฐ๐น๐ผ๐๐ฑ ๐ฑ๐ฎ๐๐ฎ ๐๐ฎ๐ฟ๐ฒ๐ต๐ผ๐๐๐ฒ๐ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ถ๐ป๐ด ๐ฆ๐ป๐ผ๐๐ณ๐น๐ฎ๐ธ๐ฒ, ๐๐ถ๐ด๐ค๐๐ฒ๐ฟ๐, ๐๐ฎ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ๐ธ๐, ๐๐น๐ถ๐ฐ๐ธ๐๐ผ๐๐๐ฒ, ๐ฆ๐๐ฝ๐ฎ๐ฏ๐ฎ๐๐ฒ, ๐๐บ๐ฎ๐๐ผ๐ป ๐ฅ๐ฒ๐ฑ๐๐ต๐ถ๐ณ๐, ๐ฃ๐ผ๐๐๐ด๐ฟ๐ฒ๐ฆ๐ค๐, ๐ฎ๐ป๐ฑ ๐๐ฟ๐ฒ๐บ๐ถ๐ผ.
Astrato's zero-copy architecture connects to the warehouse via a live-query engine, which means every dashboard, report, and workflow runs against the source data in real time โ without extracts, data movement, or cached copies. Security policies such as row-level access controls and PII masking are inherited directly from the warehouse, reducing governance overhead for IT and data teams.
๐ง๐ต๐ฒ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐๐๐ฝ๐ฝ๐ผ๐ฟ๐๐ ๐๐ต๐ฟ๐ฒ๐ฒ ๐ฝ๐ฟ๐ถ๐บ๐ฎ๐ฟ๐ ๐๐๐ฒ ๐ฐ๐ฎ๐๐ฒ๐:
โข ๐๐๐ถ๐ฑ๐ฒ๐ฑ ๐๐ฒ๐น๐ณ-๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ ๐๐. A no-code interface with 70+ out-of-the-box chart types allows business users to explore data, build dashboards, and generate reports without SQL. A shared semantic layer ensures governed, reusable metric definitions across all users and content. No-code Actions let designers chain clicks, filters, and navigation into guided flows โ so end users get an app-like experience, not a blank dashboard.
โข ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ-๐ณ๐ฎ๐ฐ๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐ถ๐ป๐๐ฒ๐ฟ๐ป๐ฎ๐น ๐ฒ๐บ๐ฏ๐ฒ๐ฑ๐ฑ๐ฒ๐ฑ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐. Fully white-labeled dashboards and workflows can be embedded into external products, portals, CRMs, ERPs, and intranet tools. Three embedding modes are supported โ single object, grouped visuals, or full interactive workbooks โ delivered via iframe with mobile-responsive layouts. Multi-tenant isolation is enforced at both warehouse and application level via row-level filters, group permissions, and SSO pass-through. Built-in usage telemetry tracks engagement, exploration patterns, and drop-off.
โข ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฑ๐ฎ๐๐ฎ ๐ฎ๐ฝ๐ฝ๐ ๐ฎ๐ป๐ฑ ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐๐. Writeback capabilities let users push data back into the warehouse from any dashboard, app, or embedded view โ supporting planning, forecasting, approvals, and field updates. No-code forms with validation, conditional logic, and multi-step flows can be built without engineering. Action buttons can trigger stored procedures, external functions, Salesforce updates, Slack posts, and emails, so analytics drive downstream action.
๐๐ฑ๐ฑ๐ถ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฐ๐ฎ๐ฝ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ:
โข ๐ฆ๐ฐ๐ต๐ฒ๐ฑ๐๐น๐ฒ๐ฑ ๐ฟ๐ฒ๐ฝ๐ผ๐ฟ๐๐ถ๐ป๐ด & ๐ฑ๐ถ๐๐๐ฟ๐ถ๐ฏ๐๐๐ถ๐ผ๐ป. Live, branded reports generated from the warehouse and delivered automatically in PDF, Excel, PowerPoint, or image format to email, Slack, Microsoft Teams, or SharePoint. Teams can upload their own Excel or PowerPoint templates and have them populated with live data at run-time. Per-recipient row-level security ensures governed distribution, and reports can be archived to S3, Google Drive, or SharePoint for audit and compliance.
โข ๐๐ฒ๐ป ๐๐ & ๐๐ ๐๐ผ๐ฝ๐ถ๐น๐ผ๐. Contextual AI Insights generate summaries that regenerate as users filter and drill. BI Copilot accelerates build time by generating chart titles, business-friendly field labels, and complex measures like YoY growth or retention from plain-language input. Custom Report lets end users ask questions in natural language and get visualizations back. Every AI output is grounded in the semantic layer. Bring your own LLM โ Snowflake Cortex, OpenAI, Azure OpenAI, Claude by Anthropic, or Google Gemini โ or use the default provider. With Snowflake Cortex, queries execute inside the warehouse and data never leaves. Admins control AI features via independent per-capability toggles.
โข ๐๐บ๐ฏ๐ฒ๐ฑ๐ฑ๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐ถ๐ป๐๐ฒ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป. Dashboards can be embedded with full white-label control over colours, fonts, logos, layout, and domain. Authentication is handled via SSO pass-through, OAuth, or token-based access. SCIM and APIs support automated user provisioning at scale.
โข ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ & ๐น๐ถ๐ณ๐ฒ๐ฐ๐๐ฐ๐น๐ฒ ๐ฐ๐ผ๐ป๐๐ฟ๐ผ๐น. Role-based access control across view, edit, design, export, and admin. Workbook lifecycle governance with draft, version, publish workflows and change tracking. Row-level security inherited from the warehouse or configured per semantic layer.
โข ๐๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ-๐ด๐ฟ๐ฎ๐ฑ๐ฒ ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ & ๐ฐ๐ผ๐บ๐ฝ๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ: SOC 2 Type II, ISO 27001 certified, HIPAA compliant, GDPR-ready. Snowflake Technology Partner and Google Cloud Ready โ BigQuery.
Astrato is used by data teams, product teams, and analytics leaders across SaaS companies, data businesses, agencies, and enterprises. Pricing is structured to scale with embedded use cases involving large numbers of external users.
Average Rating: 4.7/5.0
Total Reviews: 24
How Do G2 Users Rate Astrato?
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Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.2/10)
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Steps to Answer: 8.6/10 (Category avg: 8.4/10)
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Reports Interface: 9.5/10 (Category avg: 8.8/10)
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Calculated Fields: 9.0/10 (Category avg: 8.5/10)
Who Is the Company Behind Astrato?
Who Uses This Product?
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Company Size: 40% Medium, 32% Small
What Do G2 Reviewers Say About Astrato?
AI-generated summary from verified user reviews
Pros
- Users praise the ease of use of Astrato, highlighting its intuitive design and minimal dependency on technical resources.
- Users commend the exceptional customer support of Astrato, enhancing usability and reducing the learning curve effectively.
- Users love the seamless integration with Snowflake, enabling quick setup and efficient analytics workflows.
- Users value the easy, user-friendly learning experience of Astrato, enabling quick mastery and effective data exploration.
- Users value the dashboard customization of Astrato, enabling easy and flexible solutions for non-technical professionals.
Cons
- Users note the missing features in Astrato hinder functionality compared to more established tools, affecting overall user experience.
- Users report encountering bugs and usability issues with Astrato, complicating their experience and affecting efficiency.
- Users find that complex data modeling in Astrato can be challenging, requiring significant expertise for optimal results.
- Users note that Astrato's complex usage can be challenging, especially with bugs and less intuitive features compared to established tools.
- Users find that Astrato has a steep learning curve due to bugs and usability challenges compared to established tools.
