No-code semantic layer for Analysts.

Define a central, governed data model. Use it everywhere.

DataPlate gives Analysts control of metrics, dimensions, and business rules.
No code, no engineering bottlenecks - iterate in minutes, not sprints.
One model. Report with BI tools, ask questions in Claude, or build on our API.

How DataPlate Works Sign Up

How DataPlate Works

Connect multiple databases across any cloud and vendor. Define your central data model. Access it anywhere - your existing BI tools, our built-in reporting, MCP server, and API.

SQL Server Azure SQL Cloud SQL Redshift PostgreSQL BigQuery Snowflake MySQL Databricks DataPlate Reports Self-serve reporting DataPlate MCP AI tool integration DataPlate API Custom applications DataPlate Connect BI tool integration

Connect to Your Data

Point to tables in your existing warehouse. BigQuery, Snowflake, Redshift, MySQL, PostgreSQL - wherever your data lives. No ETL, no data copying.

Define Your Data Model

Analysts map dimensions, create metrics, and set relationships using a no-code interface. Changes take minutes, not sprints. Every update flows instantly to all downstream consumers.

Analyse Anywhere

Access your governed data through reports, AI tools, APIs, or your existing BI stack. One model, consumed everywhere, always consistent.

Works With Your Data, Wherever It Lives

DataPlate connects to your data, wherever it lives. Analysts define a unified data model across all your sources. No ETL, no copying.

MySQL
MySQL
PostgreSQL
PostgreSQL
Snowflake
Snowflake
BigQuery
BigQuery
Redshift
Redshift
SQL Server
SQL Server
Azure SQL
Azure SQL
Databricks
Databricks
Google Cloud SQL
Cloud SQL

Analysts Define the Logic

No-code interface for defining metrics, dimensions, and business rules. Analysts control the logic—no engineering dependency. Update your model in minutes as business needs evolve.

Simple Building Blocks

Drag-and-drop interface - no SQL. Create metrics once, reuse everywhere.

Custom KPIs

Combine Base metrics across datasets into one powerful Custom KPI.

Harmonised Data

Map fields from different platforms to clear, unified dimensions.

Base metric builder showing SUM aggregation Simple templated Base metric creation.
Composite metric combining multiple platform costs no-code custom KPIs across data sources.
Dimension mapping showing multiple sources to one dimension Multiple sources → One dimension

One Central Data Model, Four Ways to Consume

DataPlate Reports

Integrated reporting with dashboards, scheduling, sharing, and permission controls. Governed, self-serve reporting for your whole team.

DataPlate MCP

Connect your data model to Claude, ChatGPT, or any MCP-compatible AI. Ask questions in natural language, get answers from governed data.

DataPlate API

SQL-style queries translated by the semantic layer. Write SQL, query your semantic layer. For custom applications and automation.

DataPlate Connect

SQL-driver interface for Tableau, Power BI, Looker and other BI tools. Connect your existing stack to governed data.

Why Marketing Analytics Needs a Semantic Layer

Marketing data is uniquely complex - ad platforms impose their own schemas and KPIs, evolving on their timelines, not yours.

Your Analysts understand the data, but their knowledge can't scale - it lives in their heads, their spreadsheets, and one-off queries.

DataPlate is built for the nuances of marketing analytics, and lets analysts define a data model without engineering bottlenecks.

Why eCommerce Needs a Semantic Layer

Ecommerce data grows faster than your ability to make sense of it: thousands of SKUs and product hierarchies that live in spreadsheets.

Your Analysts know the data, but every question requires manual prep work, mapping, cleaning, and grouping, before analysis can begin.

DataPlate is built for the scale of ecommerce data, so Analysts can quickly deliver the insights your business needs.

Why Customer Analytics Needs a Semantic Layer

Understanding customer behaviour is critical. Who's spending more? Where are we losing traction? How are cohorts evolving?

Answering these questions is hard, manual work when data is scattered. Transactions in one place, customer segments in another.

DataPlate is built for the complexities of customer analytics, so Analysts can deliver deep, repeatable insights and iterate easily.

Starter
For individual analysts getting started with structured data.
£50 /month
  • 1 Power User
  • 1 Database
  • Unlimited dashboards
Get Started
Team + AI
Full team access with AI-powered analytics via MCP.
£625 /month
  • 2 Power Users
  • 5 Explore Users
  • 2 Databases
  • Unlimited dashboards
  • MCP Server
Get Started

Add extra users, databases and modules at any time. Scale as your needs grow.

Power Users
£50 / user / month
Explore Users
£25 / user / month
Databases
£50 / dataset / month
API Access
Query your semantic layer programmatically. SQL-style interface for custom apps and automation.
£250 / month
MCP Server
Connect your data model to Claude, ChatGPT, or any MCP-compatible AI assistant.
£350 / month

DataPlate puts your Analysts in control

Define your central data model. Use it everywhere.

Sign Up