Metabase alternative for embedded analytics
Metabase is one way to add embedded analytics. Astrato is the one built for it — white-label by default, warehouse-native by design, and ready to scale with your product from day one.
Pixel-perfect embedded analytics
white-labelled by default, not by upgrade
Astrato embeds seamlessly, looks exactly like your product, and lets users act on data. No badge. No upgrade wall. No workaround.
- Embedding not built for SaaS products
Limited white-labeling, design control, and multi-tenant capabilities - Limited visual and UX customization
Dashboards tend to reflect Metabase’s default design language and styling - Mostly read-only
Writeback is limited and available for PostgreSQL and MySQL only. Doesn’t work in guest embeds
- Designed for embedded analytics, with full white-labeling and UI flexibility so analytics feel native inside the product
- Full control over fonts, colors, layout, and components. Analytics matches the application UI
- Native Writeback workflows — update records, submit forms, or trigger workflows directly from an embedded dashboard
Claudio Paolicelli, CTO (Freedom2Hear): "Before, we had a separate analytics page, and nobody used it. Now, every customer at least checks the analytics, and for some, it's the main thing they care about."
Stop answering 'which dashboard is right?' — define it once, trust it everywhere
Metabase has no semantic layer — metric definitions live inside individual dashboards, which leads to inconsistent definitions and governance challenges where each chart becomes an island.
With Astrato, you get a centralised semantic layer, where you define metrics once and reuse everywhere.
Business users can update metric definitions without touching SQL or raising a ticket to guarantee one version of truth for both internal teams and customers they serve.
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Self-service BI
that actually works — for everyone on the team
- Self-service breaks down for complex analysis — Business users often hit limits and need SQL or analyst support
- Non-technical users often abandon self-service and return requests to the data team
- AI querying (Metabot) is a paid add-on — not included in any standard plan
- Deeper no-code analysis and AI-assisted querying grounded in the semantic layer, reducing reliance on data teams
- AI querying grounded in the semantic layer — answers are consistent, not hallucinated
- Governance maintained through warehouse-level rules, not locked-down interfaces
- Analysts escape the request queue; business users answer their own questions
Loved by Innovators
Astrato is a game changer. It integrated directly into our Data Cloud. Security and data privacy are critical for our work with behavioral health, addiction, and recovery support providers. Astrato allows us to maintain our high security in the Snowflake Data Cloud while opening more insights to more levels of care. Astrato is significantly faster with dashboards loading almost instantly.
Before, we had a separate analytics page, and nobody used it. Now, every customer at least checks the analytics, and for some, it’s the main thing they care about
Astrato acts as the shop window for everything happening in Snowflake, while all computation and governance remain in code within our data warehouse. That means anyone can access insights without relying on complex BI tools.
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Astrato is helping us win new customers as a result (of our Self-service embedded dashboard in Astrato), and we are on target to double the number of units (users) this year.
Our customers are already thrilled by the improvement in user experience we have seen from switching to Astrato, which is enabling their non-technical users to self-serve for the insights they need to make informed decisions and be far more productive. This is helping us win and retain more customers.
Astrato offers a 50-75% cost saving over Qlik, with 25-50% faster development, seamless self-service analytics, and easy adoption which enables quick, customizable insights and actions.
Given Astrato is 100% cloud-native live-query, tightly integrated with the speed and scalability of Snowflake, we can now rapidly process a customer's data and build streamlined actionable analytics, in just hours/days compared to weeks/months previously. We have been able to automate almost everything, which just wasn't possible with PowerBI and our skill sets.
Astrato is a game changer. It integrated directly into our Data Cloud. Security and data privacy are critical for our work with behavioral health, addiction, and recovery support providers. Astrato allows us to maintain our high security in the Snowflake Data Cloud while opening more insights to more levels of care. Astrato is significantly faster with dashboards loading almost instantly.
Before, we had a separate analytics page, and nobody used it. Now, every customer at least checks the analytics, and for some, it’s the main thing they care about
Astrato acts as the shop window for everything happening in Snowflake, while all computation and governance remain in code within our data warehouse. That means anyone can access insights without relying on complex BI tools.
Astrato is helping us win new customers as a result (of our Self-service embedded dashboard in Astrato), and we are on target to double the number of units (users) this year.
Our customers are already thrilled by the improvement in user experience we have seen from switching to Astrato, which is enabling their non-technical users to self-serve for the insights they need to make informed decisions and be far more productive. This is helping us win and retain more customers.
Astrato offers a 50-75% cost saving over Qlik, with 25-50% faster development, seamless self-service analytics, and easy adoption which enables quick, customizable insights and actions.
Given Astrato is 100% cloud-native live-query, tightly integrated with the speed and scalability of Snowflake, we can now rapidly process a customer's data and build streamlined actionable analytics, in just hours/days compared to weeks/months previously. We have been able to automate almost everything, which just wasn't possible with PowerBI and our skill sets.
