Connectors

Available data connectors.

Browse every registered connector, then open a connector to inspect its available datasets, report schemas, provider fields, Meridian mappings, and data types.

0Connectors
0Fields
Loading connectors.
Loading connector field catalog.
Destinations

Export destinations for business-ready data.

Send governed Meridian datasets into warehouses, lakehouses, object storage, spreadsheets, BI tools, and built-in Meridian analysis surfaces.

14Shown
6Categories

BigQuery

Export semantic datasets and replicated source tables into Google BigQuery with backend-owned table and schema planning.

Data warehouseOAuth

Snowflake

Load governed exports into Snowflake databases and schemas using key-pair credentials and validated write modes.

Data warehouseKey pair

Amazon Redshift

Send period-safe semantic exports to Redshift tables through staged Parquet loading and customer IAM role access.

Data warehouseIAM role

Databricks

Stage semantic exports into Databricks SQL and Delta workflows with service-principal authentication.

LakehouseOAuth M2M

Microsoft Fabric Lakehouse

Export modeled datasets into OneLake and Fabric Lakehouse tables through service-principal credentials.

LakehouseService principal

Google Sheets

Replace selected spreadsheet ranges with semantic exports for recurring team reporting and lightweight analysis.

SpreadsheetOAuth

Excel

Use spreadsheet-ready exported datasets in Excel workflows when teams need offline review or workbook handoff.

SpreadsheetWorkbook

Looker Studio

Expose saved Meridian semantic exports to Looker Studio through the Meridian connector surface.

VisualizationConnector

Power BI

Push backend-compiled semantic exports into Power BI datasets with service-principal authentication.

VisualizationService principal

Amazon S3

Write JSON Lines exports to customer-owned S3 prefixes using cross-account IAM role access.

Object storageIAM role

Google Cloud Storage

Deliver JSON Lines exports to GCS buckets with destination credentials stored outside export configs.

Object storageService account

Azure Blob Storage / ADLS Gen2

Export JSON Lines datasets to Azure Blob Storage or ADLS Gen2 with Entra ID service-principal auth.

Object storageService principal

Meridian Dashboards

Use built-in dashboards powered by the same governed semantic layer used by exports.

MeridianIncluded

Data Explorer

Inspect fields, validate data, and explore modeled datasets inside Meridian before sending them downstream.

MeridianIncluded
Semantic Layer

Business-ready data without hand-written joins.

Meridian automatically puts each supported report into the correct semantic table, maps platform fields into shared business definitions, and keeps every query tied to the right account, source, date, currency, and grain. Your team gets trusted reporting data without rebuilding the same warehouse model from scratch.

1

Ingest once

Connectors bring in provider data and preserve source context, including account scope, source lineage, dates, currency, and provider-native detail for audit and advanced use.

2

Model automatically

Meridian writes each report to the table that matches its business domain and grain, then maps native provider fields into canonical dimensions and metrics.

3

Explore safely

Dashboards, Explore, and exports use the same semantic rules, so users select fields instead of writing SQL joins or guessing which metrics can be added together.

Why it matters

The semantic layer turns raw platform data into a governed product surface. It gives marketers useful fields, gives analysts consistency, and gives technical teams a model they can trust in downstream tools.

No SQL for everyday reportingUsers pick approved fields, filters, date ranges, and destinations. Meridian handles the table selection and query compilation.
Metrics stay trustworthyGrain-aware rules prevent campaign totals, order totals, customer counts, and revenue from being multiplied by unsafe joins.
One model everywhereThe same canonical definitions power built-in dashboards, Data Explorer, spreadsheet exports, BI outputs, and warehouse-ready datasets.
Native detail is still thereProvider-specific fields are preserved for debugging, audit, and controlled advanced exports without polluting the default schema.
Clear pricing for business-ready data

Marketing data without enterprise-plan friction.

Meridian connects marketing, CRM, payment, and ecommerce data, stores it, maps it into common business fields, and sends it where your team works. No-code for marketers. Programmable workflows for technical teams.

$2.00per data source each month
From $25for spreadsheet exports
Unlimitedusers in every subscription
Profit waterfallshipping, gateway fees, and late returns stay modeled separately
Pricing

Clear pricing for every source, export, and team.

Pay monthly for what you use: 4 data sources + Google Sheets export one month, 100 sources + BigQuery the next. For commerce teams, the modeled layer separates customer-paid shipping revenue, merchant shipping costs, gateway fees, and retroactive return adjustments so profit reporting does not collapse into generic dashboard math.

Pricing Calculator
Data sources
Exports
Product

From scattered platform data to one trusted reporting layer.

Meridian stores your source data, shapes it into shared business definitions, and keeps it ready for dashboards, exports, and automation. Commerce models preserve the difference between what customers paid for shipping, what the merchant paid to fulfill it, transaction fees, and late return adjustments.

1

Connect

Bring in marketing, CRM, payment, ecommerce, and analytics data. Keep source data stored so reporting is fast and repeatable.

2

Transform

Map platform-specific fields into common business fields. Create custom dimensions and metrics for your own reporting logic.

3

Activate

Explore data in Meridian, export it to your tools, and automate supported workflows through API and MCP.

Transformation

Not just extracted. Made usable.

Meridian keeps source detail available while giving your team common fields for reporting. Build shared definitions once, then use them in dashboards, exports, and automated workflows.

Native source fieldsBefore
SourceNative fieldValue
Meta Adsspend420.13
Google Adscost_micros391200000
LinkedIn AdsamountSpent82.44
Meridian common fieldsAfter
Common fieldValue
cost893.77
shipping_amount12.00
shipping_cost_amount10.00
payment_fee_amount11.00
refund_amount50.00
return_cost_amount4.00
currencyUSD
date2026-05-01
channelPaid social / Paid search
No-code and programmable

Point and click when you want speed. Use code when you want control.

The same data model powers the UI, exports, and programmable workflows, so marketers and technical teams can work from one shared foundation.

For marketers

  • Connect sources without writing code
  • Choose common fields and custom metrics
  • Explore performance in dashboards
  • Send reports to spreadsheets and BI tools

For technical teams

  • Automate supported setup and operations
  • Export warehouse-ready datasets
  • Build repeatable workflows with API coverage
  • Connect AI agents through Meridian MCP as coverage expands
Destinations

Send clean data where your team already works.

Use Dashboards and Data Explorer, export to spreadsheets and BI tools, and sync clean datasets to your warehouse destinations.

Spreadsheets

Google Sheets
Excel

BI and visualization

Looker Studio
Power BI

Warehouses

BigQuery
Snowflake
Redshift

Meridian

Dashboards
Explore
Field validation
Access

Every subscription gets the whole platform.

Your bill changes when you connect more data or add exports, not when someone needs another seat or a team wants to use a product feature.

Transformations includedNormalize fields and create business-ready dimensions and metrics.
Dashboards includedView performance and validate data before sending it downstream.
Explore includedInspect source freshness, fields, and reporting tables in Meridian.
Automation includedUse supported API and MCP workflows without plan-gated access.
Users includedAdd the team members who need access without seat-count planning.
Scale includedMove from a few sources to many sources without switching plans.

Start with one source. Scale when it makes sense.

Connect a source, normalize the fields that matter, and send business-ready data to the tools your team already uses.

Start free Sign in