mprove.io

What It Is

Mprove is an open-source Agentic Business Intelligence platform built on the Malloy Semantic Layer. It aims to bring data source discovery, semantic modeling, self-service AI data Q&A, reports, and dashboards into a single workflow. For marketing and SEO use cases, it is not a keyword ranking, backlink, or content optimization tool. Instead, it is better suited as a foundation for marketing data analysis and KPI dashboards—for example, connecting Google Analytics with a data warehouse to analyze traffic, conversions, and business metrics in a unified way.

Core Capabilities and Integrations

The product starts with DWH Schema Discovery, identifying tables, columns, indexes, keys, and data types. It also supports adding descriptions, sample data, and relationship types to tables and columns. Its visual data relationship graph helps users understand data structures. The modeling layer uses Malloy, supports reusable SQL blocks, and can validate models when they are saved. On the analytics side, it offers an AI data analyst, self-service queries, metric drilldowns by dimension, and chart-based reports and dashboards. Management features include global filters, report filters, RBAC, Git version control, personal development repositories, production repositories, and Test/Stage/Prod environment switching.

For integrations, Mprove supports PostgreSQL, MySQL, Databricks, Snowflake, BigQuery, MotherDuck, Presto/Trino, as well as Custom API and Google Analytics. Additional HTTP APIs require writing integration logic through .store files, which means non-technical marketing teams may need support from data engineers.

Pricing and Trial

No specific pricing is disclosed on the page. The terms of service indicate that its cloud service has different pricing plans; after switching to a Paid Plan, users pay in advance based on the subscription period, and usage-based charges may apply. The official website offers an instant Demo without login, but functionality is limited. Full capabilities require self-hosting and building a project. It is not stated whether there is a formal free trial period.

Pros and Cons

The main advantages are that it is open source and self-hosting-friendly, making it suitable for teams that care about data control. The Malloy semantic layer and Git workflow help unify metric definitions and manage changes. RBAC and multi-environment support also make it appropriate for team collaboration. The drawbacks are that its marketing/SEO-specific features are not very prominent—it is more of a general BI platform; Malloy Nesting and Calculations are not yet supported; pricing transparency is limited; and custom API integrations plus semantic modeling require a certain level of technical expertise.

Best Fit and Access from China

Mprove is best suited for growth, marketing operations, and data teams that already have a data warehouse, data analysts, or a BI development workflow. It can be used to integrate GA with business databases and build marketing funnels, channel attribution models, or executive dashboards. For teams that simply want SEO rank tracking, site audits, or content recommendations, Ahrefs, Semrush, Similarweb, Google Looker Studio, Metabase, Superset, and similar tools may be more direct options. Access from mainland China, payment methods, and stability are not covered in the source text, so they should be considered unknown.