If you've been using Explo for embedded analytics, you already know the situation: Omni acquired Explo in October 2025, and the platform is being sunset. For a detailed breakdown of what Explo offers as a standalone product, see our Explo analytics review.

Omni committed to a 12-month migration window, which means Explo customers have roughly until October 2026 to transition. Contracts are being renegotiated, support now routes through Omni's team, and Explo's independent roadmap is finished.

That's not necessarily bad. Omni is growing fast, with projected ARR of $30M by end of 2025 and plans to double again in 2026. But for teams that had Explo deeply wired into their stack, the transition creates real friction:

• You lose Explo's independent roadmap

• You may need to rebuild your embeds

• Pricing, features, and UI/UX will change under Omni

• Your team has to plan for a migration now, not later

If you're evaluating alternatives rather than defaulting to Omni, this guide walks through five options, each with a different approach to embedded dashboards, multi-tenant data access, and developer flexibility.

TL;DR: Best Explo Alternatives

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

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

• Sisense: Best for large enterprises that need extreme scale, deep customization, and pro-code embedding with strong SDKs. Enterprise pricing but enterprise-grade controls.

• RevealBI: Best for developer-first SDK embedding with transparent, fixed pricing and predictable total cost of ownership. Good for cost-conscious SaaS.

• Upsolve AI : Best for teams that want agent-driven analytics and conversational querying embedded into their product, alongside traditional dashboards.

Quick Comparison Snapshot

1. Luzmo

Luzmo is built for teams that want fast time-to-embed, consistent white-labeling, and clear public pricing. It removes the guesswork around what embedding will cost 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 publishes three tiers, all billed annually. Pricing scales with Monthly Active Users (MAUs):

• Starter: From $495 per month. Covers core drag-and-drop analytics, quick-start styling, and essential embedding for customer-facing dashboards.

• Premium: From $1,995 per month. Adds full white-labeling, advanced analytics with proactive insights, and AI-assisted dashboarding.

• Enterprise: Custom pricing. Includes complex security and compliance frameworks, dedicated infrastructure with custom SLAs, and flexible hosting options.

Luzmo vs Explo

2. Qrvey

Qrvey takes a different 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 offers two editions, both with flat-rate pricing that includes unlimited tenants, users, and dashboards:

• Pro: For SaaS teams with an analytics-ready database. Covers embedded dashboards, reporting, and automation without requiring a separate data engine. Custom quote.

• Ultra: For full-stack analytics delivery. Includes everything in Pro plus a built-in data engine and transformation layer for high-performance, multi-source analytics. Custom quote.

Both editions are deployed to your own cloud. Pricing requires a demo request.

Qrvey vs Explo

3. 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.

Sisense vs Explo

4. 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 uses a fixed annual license priced per application. All features, data sources, and users are included with no additional charges. For exact pricing, teams request a quote through the Reveal pricing page. A 30-day free trial of the SDK is available.

Reveal vs Explo

5. Upsolve AI

Upsolve AI approaches embedded analytics differently from traditional dashboard tools. Where Explo focused on rapid embedded dashboards and self-serve reporting, Upsolve combines embedded dashboards with agent-driven analytics: conversational querying, automated SQL generation, and natural language explanations of results, all embedded inside your product.

For product teams that need end-user insights plus conversational analytics capabilities, Upsolve addresses a gap that traditional embedded BI tools typically leave open.

Key Features

• Agent-driven analytics that query data sources, generate SQL, and produce narrative explanations.

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

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

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

Pricing

Upsolve offers tiered pricing starting at $2,000 per month, with Enterprise tiers available for larger deployments with dedicated infrastructure and compliance requirements. Read more details on the Upsolve pricing page.

Upsolve 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.

Data architecture. If you already own a mature data warehouse and want rapid embedded UX, Luzmo works well. If you prefer a managed data layer or data lake inside the analytics platform, Qrvey is built for that.

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 is friendlier.

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 professional services, Sisense's model may fit.

Analytics sophistication. If you need conversational analytics, agent-driven querying, and natural language explanations embedded in your product, Upsolve is designed for that use case. For complex calculations, large data models, and advanced embedding, Sisense is purpose-built.

Quick Cheat Sheet

• 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

• Agent-driven conversational analytics, embedded: Upsolve AI

Explo made it easier for product teams to bring analytics into their apps. But in 2026, the embedded analytics landscape has evolved beyond traditional dashboard embedding. Each of these alternatives addresses different strengths depending on your team's priorities: deeper data integration, stronger customization, predictable pricing, or AI-driven analytics capabilities. Evaluate based on your stack, your users' needs, and your product roadmap.

Frequently Asked Questions

What are the best Explo alternatives in 2026?

Luzmo, Qrvey, Sisense, RevealBI, and Upsolve AI are five strong options, each suited to different needs: fast embedding, built-in data lakes, enterprise scale, predictable pricing, and agent-driven analytics respectively.

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. Luzmo is also a strong fit for mid-market SaaS teams that prioritize speed and public pricing.

How does Upsolve compare to Explo for conversational analytics?

Upsolve focuses more heavily on agent-driven SQL generation and conversational queries, while Explo's strengths were in rapid dashboard embedding. They serve different primary use cases. If conversational analytics is a core product feature, Upsolve is designed for that; if traditional dashboards are the priority, Luzmo or Reveal may be a better fit.

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 proof-of-concept with your shortlisted vendors.

How long do I have before Explo shuts down?

Omni announced a 12-month migration window starting October 2025. That puts the approximate deadline around October 2026. Explo remains fully operational during this period, but teams should begin planning now to avoid a rushed migration.