Explo

Explo is an embedded analytics platform for product and engineering teams that want to add customer-facing dashboards, self-serve reporting, and data sharing inside their applications. It connects directly to relational databases and warehouses and supports white-label embedding and report delivery.

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Overview

Explo is an embedded analytics platform for customer-facing dashboards, self-serve reporting, and data sharing inside SaaS products. The site positions it for product and engineering teams that need to deliver analytics experiences to their own users without building everything from scratch.

The product combines dashboards, Report Builder AI, Data Share, and a library of database integrations. It supports direct connections to relational databases and warehouses, and it includes styling controls, embedding options, and change-management tools so teams can fit analytics into an existing application and workflow.

Core capabilities

Embedded dashboards

Embed interactive dashboards into your product with filters, drill-downs, charts, tables, and other exploration tools so customers can analyze data in place.

AI report builder

Let end users generate reports with natural language and ask questions against their data inside the application.

Data sharing and exports

Share reports and exports through Data Share, including delivery methods such as email or share links, so customers can receive data when they need it.

White-label presentation

Style components to match the host application, including fonts, spacing, shadows, colors, and other visual settings.

Direct database connectivity

Connect directly to SQL data sources and supported databases or warehouses without replicating data into a separate model first.

Change management

Use version control, environment tags, publishing, and revert flows to manage dashboard and report changes over time.

Common use cases

Embedded customer dashboards
Build customer-facing dashboards with filters, drill-downs, and branded visuals so users can explore product or business data inside the app.
Self-serve reporting
Let customers ask questions in natural language and generate contextual reports without leaving the product.
Data delivery and exports
Send reports or exports through scheduled or on-demand delivery so users receive data in formats they can use in meetings or offline analysis.
Direct-source analytics
Connect directly to existing SQL databases and warehouses when teams want to avoid data replication and keep analytics close to the source.
Analytics change management
Manage dashboard and report updates with version control, environment tags, and publishing workflows for production changes.

Pros and Cons

Pros

Supports embedded dashboards and AI-assisted report creation in the same product family.
Connects directly to relational databases and warehouses, including many common SQL data sources.
Offers white-label styling controls so analytics can be matched to the host application.
Includes export, scheduling, and delivery options through Data Share for customer-facing reporting.
Provides version control and publishing tools for managing changes over time.

Cons

The pricing page returned a page-not-found response in the provided source set, so pricing and packaging are not clear from this evidence.
The source material is stronger on dashboards and reporting than on documentation for every adjacent product in the navigation, such as Host and Email.

FAQ

How does Explo connect to data?

Explo supports direct connections to relational databases and data warehouses, so teams can embed dashboards and reporting without replicating data into a separate analytics system.

What can teams build with Explo?

The source pages show embedded dashboards, Report Builder AI, Data Share, and an integrations library. Together they cover in-app analytics, self-serve reporting, and data delivery to customers.

How do end users interact with Explo analytics?

The dashboard product can be embedded with a web component or iFrame, and the report builder product is designed to let end users ask questions in natural language and generate reports inside the application.

Which data sources are supported?

The site states that Explo supports all relational databases and warehouses, and the integrations page lists database and warehouse options such as PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, ClickHouse, and Databricks.

Quick Facts

Category: Embedded analytics
Primary users: Product and engineering teams
Deployment: Embedded in a SaaS or web application
Data sources: Relational databases and warehouses
Source domain: explo.co
Notable workflow: Connect data, build dashboards or reports, style them, then embed or share them