5 Best Metabase Alternatives for Embedded Analytics

Searching for Metabase alternatives because you’ve hit limits with embedding, white-labeling, or scale? Here are the five best options for embedded analytics—with who they’re best for, standout capabilities, and current pricing at a glance. Then we’ll go deeper on each tool (extra detail on Qrvey), and close with when to switch from Metabase.

Fast comparison: Metabase alternatives for embedded analytics

Name	Best for	Stand-out feature	Price starting point*
Qrvey	SaaS products needing multi-tenant embedded analytics	Cloud-native, API-first, automation + white-label	Flat-rate pricing featuring unlimited users, dashboards, instances, data. Request pricing.
Amazon QuickSight	Apps/products on AWS needing serverless scale	Pay-per-session and capacity options for embedding	Authors from $18/user/mo (annual); Readers from $3/user/mo; $0.30/session
Microsoft Power BI	Microsoft-centric orgs/products with self-service + embed	Mature embedded patterns (“embed for your customers”)	Pro $14/user/mo; PPU $24/user/mo (from Apr 1, 2025)
Tableau	Enterprise-grade visual analytics + embedded	Embedding API + Embedded Web Authoring	Viewer from $15–$35; Explorer from $42–$70; Creator from $70–$75 (annual)
ThoughtSpot	AI/search-first analytics and modern embedding	Visual Embed SDK + agentic AI (Spotter)	Starts as low as $50/user/mo (annual) + usage

*Pricing can vary by edition, commitment, and region. Always confirm vendor pages.

Qrvey

Qrvey is purpose-built for software companies that need to ship analytics inside their products with multi-tenant isolation, API-first integration, no-code automation, and full white-label control. It’s cloud-native end-to-end, so teams avoid the overhead of stitching third-party BI to app experiences, and instead deliver embedded analytics that feel truly native.

Key features

• True multi-tenant analytics
  Isolate tenant data with row/column controls and tenancy-aware assets, so every customer sees only their data—without complex workarounds.
  Learn more: Multi-tenant analytics.
• API-first embedding & white-label
  Deeply customize layout, theming, and UX while orchestrating analytics via REST APIs and SDKs across your application lifecycle.
  Learn more: Embedded analytics platform · Embedded data visualization.
• Automation & no-code workflows
  Automate data collection, transformations, scheduling, and alerts—reducing manual ops and increasing reliability across tenants.
  Learn more: No-code analytics platform.
• Cloud-native scale + GenAI
  Built for elastic scale with options to add generative experiences safely where they add value.
  Learn more: Cloud-native analytics platform · GenAI analytics platform.

Pricing

Plan	Price	Notes
Flat-rate	Request pricing	Unlimited users, dashboards, instances, data, and connections.Tailored to product scale, embedding depth, and tenancy needs

Where Qrvey shines

• Deep embedding: API-first + white-label makes analytics feel native in your product.
• Multi-tenancy by design: Strong isolation and governance for customer-facing analytics.
• Operational efficiency: No-code automation + cloud-native architecture reduce overhead.

Where Qrvey falls short

• Overkill for simple BI: Smaller teams needing only ad-hoc internal dashboards may prefer a lighter tool.

Customer feedback 

Public reviews consistently highlight fast embedding, tenant controls, and responsive support; some teams note that initial configuration is a project (but worth the long-term maintainability).

Who Qrvey is best for

• SaaS/product teams that need scalable, white-labeled, multi-tenant embedded analytics for their end users. 

Spotlight on Why SaaS Companies Choose Qrvey’s Embedded Analytics Platform

Qrvey is the embedded analytics platform designed specifically for SaaS companies. The platform was built for multitenancy from day one so there are no head-scratching, keyboard-smashing workarounds to get multi-tenant security stood up. But that’s just one reason why SaaS companies select Qrvey’s tech, here are several more:

Self-service analytics – Let customers build dashboards and workflows themselves, reducing support needs and speeding value.

Embedded & Customizable – Embed and tailor every analytics component to match your product’s UI and branding.

Built-in Data Engine – Analyze complex, large-scale data—no external warehouse or third-party tools needed.

Multi-tenant architecture – Secure, scalable tenant isolation and customization—no workarounds or compromises required.

Deployed in your cloud – Deploy natively in AWS, Azure, or GCP (Coming Soon!)  for full control over data, security, and compliance.

Amazon QuickSight

QuickSight is AWS’s serverless BI—popular for embedding in apps where you need to scale to hundreds of thousands of users with minimal infrastructure. For external users, you can choose per-user or pay-per-session pricing, plus capacity packs for large embedded scenarios. 

Key features

• Serverless at scale: Auto-scales without servers to manage; SPICE accelerates performance on large data. 
• Flexible embedding: Embed visuals, dashboards, NLQ (Q), or even the authoring console within your app. 
• Usage-aligned economics: Authors from $18/user/mo (annual), Readers from $3/user/mo, or $0.30 per 30-min session. 

Pricing

Role / Mode	Starting price	Notes
Author	$18/user/mo (annual)	$24 monthly option; “Pro” adds GenAI features
Reader	$3/user/mo	Reader Pro $20/user/mo (GenAI features)
Pay-per-session	$0.30/session	Capacity packs lower unit rates; ideal for embedding

Where QuickSight shines

• AWS alignment: Integrates cleanly with IAM, VPC, Lake Formation, and more. 
• Massive scale & cost control: Serverless + session pricing fits spiky external usage. 
• End-to-end embedding: From visuals to full authoring, including NLQ (Q). 

Where QuickSight falls short

• UX polish: Visual customization is improving but still less flexible than premium viz tools for pixel-perfect UI.
• Non-AWS stacks: Best when your app and data are already on AWS.

Who QuickSight is best for

• AWS-centric products needing serverless embedded analytics and usage-based economics.

See a comparison of QuickSight and Qrvey.

Microsoft Power BI

Power BI is a top choice for Microsoft 365/Azure shops that want strong self-service plus mature embedding patterns (embed for your customers vs. for your organization). In 2025, Pro is $14/user/mo and PPU is $24/user/mo; Fabric capacities replace legacy Premium capacity SKUs. 

Key features

• Self-service + governance: Broad connectors, dataflows, and robust workspace controls. 
• Embedded analytics patterns: Clear guidance and SDKs for app-owns-data and user-owns-data scenarios. 
• Authoring APIs in embed: Programmatically add/change visuals and author reports in embedded contexts. 

Pricing

License / Capacity	Starting price	Notes
Pro	$14/user/mo	Share & collaborate; required for many publish/share tasks
Premium Per User (PPU)	$24/user/mo	Larger models, higher refresh, advanced features
Fabric capacity (F-SKUs)	Varies	Successor to Premium capacity (P-SKUs)

Where Power BI shines

• Microsoft ecosystem: Smooth with Azure AD, Teams, Excel, and Fabric. 
• Embedded maturity: Extensive docs, SDKs, and patterns for multi-tenant apps. 

Where Power BI falls short

• Capacity planning: For heavy external embedding, capacity sizing and governance add complexity. 
• Theming/white-label: Good branding options, but not as seamless as purpose-built white-label analytics.

Who Power BI is best for

• Microsoft-aligned teams building embedded and self-service side-by-side.

See a comparison of Power BI and Qrvey. 

Tableau

Tableau is synonymous with best-in-class data visualization and offers robust Embedded Analytics with an Embedding API and Embedded Web Authoring so users can create/edit in your app. Pricing differs by edition/role; broadly, Viewer from $15–$35, Explorer from $42–$70, Creator from $70–$75 billed annually. 

Key features

• Premium visuals & exploration: Industry-leading dashboard interactivity.
• Embedded Web Authoring: Bring the authoring canvas into your application. 
• Developer tooling: Embedding API v3, REST APIs, Playground, and usage-based licensing options. 

Pricing

Role	Typical starting price	Notes
Viewer	$15–$35/user/mo	Varies by edition; billed annually
Explorer	$42–$70/user/mo	Varies by edition; billed annually
Creator	$70–$75/user/mo	Includes Desktop + Prep; annually

Where Tableau shines

• Visual excellence: Deep interactivity and rich design options.
• Embedding flexibility: Mature APIs and embedded authoring speed up self-service. 

Where Tableau falls short

• Cost at scale: Viewer/Explorer licensing adds up for large external audiences. 
• Multi-tenant app fit: Achievable, but more assembly vs. tools purpose-built for SaaS embedding.

Who Tableau is best for

• Product and data teams that prioritize premium visual UX and embedded self-service.

See a comparison of Tableau and Qrvey.

ThoughtSpot

ThoughtSpot emphasizes search- and AI-driven analytics with modern embedding (Visual Embed SDK, low-code starters) and a growing set of agentic AI capabilities (“Spotter”). Plans include per-user and usage pricing; developer tier is free for one year for embedding. 

Key features

• Search & AI at the core: NLQ, automated insights, and agentic assistants. 
• Modern embedding: SDK + REST; embed search bars, Liveboards, or the full app. 
• Low-code developer experience: Developer Playground and quick-start guides. 

Pricing

Edition / Model	Indicative starting point	Notes
Essentials / Pro / Enterprise	From as low as $50/user/mo (annual); $0.10 per query for some editions	Developer edition free 1 year; embedded packaging available

Where ThoughtSpot shines

• Time-to-value: Low-code embedding + strong search UX.
• AI-assisted analysis: From guided insights to agentic workflows. 

Where ThoughtSpot falls short

• Cost predictability: Per-query/user models demand monitoring in high-traffic apps. 
• Traditional BI workflows: Less focus on classic semantic modeling vs. search-first approach.

Who ThoughtSpot is best for

• Teams prioritizing AI/search UX and rapid embedded rollout.

See a comparison of ThoughtSpot Embedded and Qrvey.

Reasons to consider an alternative to Metabase

You might love Metabase for internal BI, but embedded product scenarios often demand stronger white-label, multi-tenant, and scale controls with predictable pricing. Here are the recurring triggers for switching:

1) Interactive embedding & white-label require higher tiers

Metabase’s interactive embedding (the kind you need for multi-tenant self-service) and advanced white-label options are available only on Pro/Enterprise plans—meaning many app teams must upgrade before they can truly embed.
How Qrvey helps: API-first embedding and white-label are core, not an add-on. 

2) Cloud plan limitations and timeouts

On Metabase Cloud, there are platform limits (e.g., 10-minute query timeouts, limited email customization, and no access to the application database), which can impact heavier embedded use cases and brand control.
How Qrvey helps: Cloud-native deployment with no-code automation and flexible customization. 

3) Scaling multi-tenant SaaS is complex

While Metabase supports multi-tenant patterns on Pro/Enterprise, achieving frictionless tenancy isolation and lifecycle management can take engineering lift compared with platforms built for multi-tenancy from day one.
How Qrvey helps: Multi-tenancy is at the core of Qrvey. 

4) Total cost and governance at external scale

As external users grow, you may need a usage-aligned model (e.g., pay-per-session) or serverless scale, or you may want stronger governance APIs for embedding at very large tenant counts—areas where alternatives shine.
How Qrvey helps: Flat-rate pricing aligned to product scale, and governance designed for embedded use. 

Choose Qrvey as Your Metabase Alternative for Embedded Analytics

If your priority is native-feeling analytics inside your product—with multi-tenant isolation, white-label, and automation—Qrvey is the most direct path. It’s designed for product teams, not just analysts, so you can deliver governed, scalable analytics that match your UI and grow with your customer base.