Migrating from Explo? Here are the 5 best alternatives for embedded analytics

If you’ve been using Explo for embedded analytics, you’ve probably heard the news by now:

Omni just acquired Explo.

And while Omni’s on a tear with $30M ARR projected by year-end and 10x product releases, this also means one thing for Explo users:

Your product is getting sunset. 

Contracts are being renegotiated. Migrations will happen over the next 12 months. And support is now routed through Omni’s team.

That’s not necessarily bad. Omni is building fast. But it also means:

• You lose Explo’s independent roadmap
  
  

• You may need to rebuild your embeds
  
  

• Pricing, features, and even UI/UX will change
  
  

• And your team has to start planning for a migration — now, not later

For teams that loved Explo’s simplicity, speed, or just had it deeply wired into their stack — this creates friction.

And that’s exactly why many product and engineering teams are asking:

• What are the best Explo alternatives right now? 
  
  

• Can we switch with minimal dev work? 
  
  

• And which tools still prioritize speed, support, and embeddability — without a full rewrite?

In this guide, I’ll walk you through the 5 best alternatives to Explo — each with their own approach to embedded dashboards, multi-tenant data access, and developer flexibility.

If you’re migrating out of Explo, this will help you pick a replacement that fits your stack — not the other way around.

Let’s get into it.

TL;DR - Best Explo alternatives in 2025

• Upsolve — Best if you want AI-assisted, data-aware, embedded BI and conversational analytics built into the product. Strong for SQL generation and end-user analytics.
  
  

• Luzmo — Best if you want fast time-to-embed with predictable public pricing and polished UI customization. Good for mid-market SaaS.
  
  

• Qrvey — Best if you need a full-stack, multi-tenant analytics layer with a built-in data lake and flat-rate embedded pricing. Ideal when you want embedded analytics and data orchestration together.
  
  

• Sisense — Best if you’re a large enterprise that needs an extreme scale, deep customization, and pro-code embedding with strong SDKs and AI features. Enterprise pricing but enterprise-grade controls.
  
  

• RevealBI — Best if you want a developer-friendly SDK plus transparent, fixed embedded pricing and predictable total cost of ownership. Good for cost-conscious SaaS.

Quick Comparison Snapshot: Explo and its Top Competitors

1. Upsolve

If your product needs analytics that feel like part of the app rather than an appendix, Upsolve is worth a close look. 

Where Explo focuses on rapid embedded dashboards and self-serve reporting, Upsolve positions itself as AI-first, data-aware embedded BI.

That means agents that generate SQL, explain results in plain English, and produce embedded charts or dashboards directly inside your UI. 

For product teams that need end-user insights plus conversational analytics, Upsolve closes a common gap.

Key Features

• Data-aware agents that query data sources, generate SQL, and produce narrative explanations.
  
  

• Embedded dashboards and templates that support iFrame and React embedding.
  
  

• Semantic layer + developer-first APIs so engineering teams can control access, row-level security, and styling.
  
  

• AI features for end-user analytics and scheduled reports.
  
  

• Resilience for evolving schemas with freshness checks and query reliability tooling.

Pricing

Upsolve publishes tiered pricing with a Growth plan starting in the low thousands per month and Professional/Enterprise tiers above that. 

Typical public figures show Growth/Professional starting roughly around $1,000 to $2,000 per month, and enterprise quotes for larger deployments. 

Confirm current plan details with their sales team. 

Upsolve vs Explo

2. Luzmo

Luzmo is built for teams that want fast time-to-embed, consistent white-labeling, and clear public pricing.

It aims to remove the guesswork around how much embedding will cost your company and gives product designers a lot of control over look and feel. 

If you liked Explo’s quick deploy promise but want public pricing and stronger branding controls, Luzmo is worth exploring.

Key Features

• Out-of-the-box dashboards designed for embedding in SaaS apps.
  
  

• Full theming and custom CSS so dashboards match your product look and feel.
  
  

• Public pricing tiers that make procurement easier for mid-market teams.
  
  

• Developer SDKs and embedding components for quick integration.

Pricing

Luzmo offers public pricing bands. Reported ranges show Basic plans from roughly $995 per month, Pro at ~ $2,050, and Elite tiers around $3,100, depending on usage and add-ons. Exact figures depend on additional seats or active designer counts.

Luzmo vs Explo

3. Qrvey

Qrvey is different in approach. It’s not just an SDK for embedding dashboards.

It offers a full-stack analytics platform with a built-in multi-tenant data lake, governance features, and a claim of “no limits” on dashboards and users.

That makes Qrvey attractive when your product needs embedded analytics plus a managed data layer that reduces engineering effort. 

If you’ve felt the friction of connecting Explo to complex data pipelines at scale, Qrvey can simplify the stack.

Key Features

• Full-stack multi-tenant analytics with a data lake designed for SaaS.
  
  

• Semantic layer built for governance so you can enforce model-level rules across tenants.
  
  

• Unlimited users, dashboards, and deployments under flat-rate embedded approaches.
  
  

• Embedded components and self-service options to lower engineering lift.

Pricing

Qrvey emphasizes flat-rate pricing for embedded use cases and positions itself as predictable at scale.

They ask teams to request a demo for a custom quote.

Public messaging stresses unlimited dashboards and users as part of embedded packages.

For teams that prefer fixed-cost economics rather than per-user or per-query billing, Qrvey’s model is attractive.

Qrvey vs Explo

4. Sisense

Sisense is a veteran in the embedded analytics space and built its platform for scale and flexibility. 

Unlike lighter-weight embedded tools, Sisense is designed for use cases that require complex calculations, hybrid deployments, or tight programmatic control over rendering and UX. 

Large customers frequently choose Sisense when they need a composable SDK and the option to run on-premises or in a private cloud. Expect enterprise pricing but also enterprise-grade controls and training.

Key Features

• Compose SDK and JS APIs for pixel-perfect embedding and UI control.
  
  

• AI-driven features and analytics assistants to surface insights.
  
  

• Hybrid deployment options including on-prem and cloud.
  
  

• Extensive training, professional services, and enterprise SLAs for mission-critical deployments.

Pricing

Sisense typically works through a consultative sales process.

Public research and market reporting place entry-level costs into the low tens of thousands per year for smaller deployments and much higher for enterprise rollouts.

Expect quotes to vary widely by node, seats, and deployment type.

For accurate budgeting, request a sales quote and a proof-of-concept.

Sisense vs Explo

5. RevealBI

RevealBI (Reveal) pitches itself as a developer-first embedded analytics product with a transparent pricing model.

The company emphasizes a fixed pricing approach, unlimited users, and a true SDK so you can build analytics experiences tightly coupled to your application. 

For teams scaling their product where predictable costs are crucial, Reveal’s flat-rate or fixed annual pricing can be a determining factor.

Key Features

• True embedded SDK that lets developers control UX and behavior.
  
  

• Predictable, flat-rate embedded pricing that avoids per-user spikes.
  
  

• Support for on-prem and cloud deployments to match enterprise needs.
  
  

• Unlimited users and dashboards under embedded plans to lower total cost of ownership.

Pricing

Reveal advertises a transparent, flat-rate model for embedded analytics with an emphasis on predictable bills.

For exact numbers, teams fill the pricing form and request a quote.

Public-facing materials state “fixed pricing forever” as a selling point for embedded customers who want cost certainty. 

Reveal vs Explo

How to Choose the Right One For Your Team

Choosing an alternative to Explo is about fit. The right product depends on four practical axes.

1. Data architecture
   
   

   • If you already own a mature data warehouse and want rapid embedded UX, Explo and Luzmo both work well.
     
     

   • If you prefer a managed data layer or data lake inside the analytics platform, Qrvey is built for that.
     
     

2. Developer vs no-code needs
   
   

   • For pro-code, SDK-first embedding and pixel control, choose Sisense or Reveal.
     
     

   • For low engineering lift and quick theming, Luzmo or Upsolve are friendlier.
     
     

3. Pricing predictability
   
   

   • If predictable costs with unlimited viewers are critical, look at Reveal or Qrvey’s flat-rate messaging.
     
     

   • If you can invest in enterprise SLAs and want extensive pro services, Sisense’s model may fit.
     
     

4. Analytics sophistication
   
   

   • For conversational analytics, SQL generation, and AI-assisted explanations, Upsolve leads the pack.
     
     

   • For complex calculations, large data models, and advanced embedding, Sisense is purpose-built.

Quick cheat sheet

• Product with embedded conversational analytics and SQL → Upsolve
  
  

• Public pricing and fast embed → Luzmo
  
  

• Full-stack, managed data layer → Qrvey
  
  

• Enterprise scale and pro-code embedding → Sisense
  
  

• Predictable flat-rate embedded pricing → Reveal

​​Explo made it easier for product teams to bring analytics into their apps, but in 2025, the embedded analytics landscape has evolved far beyond that starting point.

Each of these alternatives addresses the gaps Explo often leaves—whether it’s deeper data integration, stronger customization, or predictable pricing at scale.

If you’re building a SaaS product where real-time insights, SQL-driven dashboards, and data-aware experiences matter, Upsolve stands out as the most forward-looking alternative.

It’s not just embedded analytics—it’s AI + BI in one platform, empowering your users to ask, analyze, and act on data instantly within your product.

👉 Ready to see what next-generation embedded analytics looks like?

Book a demo with Upsolve and discover how data-aware intelligence can transform your product experience.

Frequently Asked Questions

What are the best Explo alternatives in 2025?
Upsolve, Luzmo, Qrvey, Sisense, and RevealBI.

Each fits different needs such as conversational analytics, predictable pricing, built-in data lakes, enterprise embedding, and developer-first SDKs.

Which alternative is best for data-driven SaaS products?
Qrvey is designed as a full-stack multi-tenant platform with a built-in data lake, making it attractive when you want the analytics and data layer tightly integrated.

Is Upsolve better than Explo for conversational analytics?
Yes. Upsolve emphasizes AI-driven, data-aware agents that generate SQL and explain results inside your app.

If conversational analytics is a product feature, Upsolve is purpose-built for it.

Which tool offers the most predictable embedded pricing?
RevealBI and Qrvey promote flat-rate or fixed pricing for embedded deployments to avoid per-user surprises. Luzmo also offers published tiers for clearer procurement.

How much does migrating from Explo typically cost?
Migration cost depends on data model complexity, number of dashboards, and customization needs.

Expect a mix of one-time engineering effort plus ongoing SaaS fees. For accurate estimates, request a migration review and POC with your shortlisted vendors. Explo and alternatives provide demo and migration guides.