The data layer for Power BI, engineered for enterprise operations.
A controlled, production-grade access layer connecting SAP, Salesforce, HubSpot, and other enterprise systems to Microsoft Power BI — built for large datasets, complex schemas, and analytics that must work every day.
In production
at enterprises like
01
Fragile ETL pipelines
Custom integrations require constant maintenance and break as source systems change. Engineering time is consumed by upkeep rather than value.
02
Manual data exports
Scheduled exports and ad-hoc jobs do not scale. They introduce delays, silent errors, and operational risk that grows with data volume.
03
Data freshness under load
Full reloads become impractical at scale. Incremental, predictable updates are the only way to keep analytics current.
04
Schema & platform evolution
Frequent schema and API changes in SAP, Salesforce, and Hubspot quietly disrupt downstream models and the reports built on them.
05
Governance at scale
Enterprise analytics requires fine-grained access control and predictable performance under sustained workloads. Bolted-on governance is not governance.
06
Ownership drift
Reporting ends up dependent on a handful of engineers. When they move on, analytics reliability moves with them.
How it works
Governed access, not replicated data.
Most Power BI connectors stop at credentials and bulk pull. Metrica enforces the security model, the refresh contract, and the audit trail — end to end.
Rather than copying data into yet another warehouse or running brittle pipelines, Metrica operates as a live connector layer: Power BI requests are mapped to source APIs, authorized against source-system permissions, and executed with incremental awareness.
The result is a stable interface that survives platform change — so analytics teams can ship reports instead of maintaining pipelines.
/01
High-volume relational datasets
Supports deep relationships and large tables without forcing denormalization. Analytical accuracy is preserved at production query volumes.
/02
Stable access across platform change
Schema drift, API versioning, and field migrations are absorbed at the access layer. Downstream Power BI models continue to refresh without rework.
/03
Source-native governance
Access aligns with SAP authorizations, Salesforce sharing models, and HubSpot access controls. Entitlements, least-privilege access, and policy stay consistent across every Power BI consumer.
/04
Predictable performance under load
Designed for frequent refresh schedules, high concurrency, and sustained Power BI workloads. Latency and refresh behavior remain stable as adoption grows.
/05
Operational observability
Full visibility into refresh health, query execution, and access patterns — surfaced to the data platform team, not buried in vendor dashboards.
| Criterion | Native Connectors | Generic ODBC | Custom ETL | Metrica |
|---|---|---|---|---|
| Performance at scaleIncremental refresh and predictable behavior under sustained workloads. | Full reloads, slow refresh | Bulk pull, no incrementality | Depends on pipeline author | Incremental, protocol-aware |
| Engineering overheadTime spent shipping reports vs. maintaining the plumbing. | Low setup, limited control | Config-heavy, opaque failures | High build and ongoing maintenance | Managed connector layer |
| Source-system securityPermissions enforced by SAP, Salesforce and HubSpot, not reinvented in Power BI. | Credentials only | Credentials only | Typically bypassed | Native permission propagation |
| Schema & platform changeReports survive upstream evolution. | Breaks on change | Breaks on change | Requires rewrite | Absorbed at the layer |
Connector / 01
Salesforce certified
Power BI Connector for Salesforce
A no-code connector built for governed Salesforce analytics at scale — complex object relationships, real-time data in Power BI, without custom ETL or manual exports.
- Incremental refresh
- Custom objects
- Schema evolution
- Permission-aware
- Multi-org support
- Production workloads
Connector / 02
SAP certified
Power BI Connector for SAP
Direct analytical access to SAP S/4HANA and ECC — preserving source authorizations, handling volume, and translating SAP semantics for Power BI without replication.
- CDS · ODP
- SAP authorizations
- Delta extraction
- Hierarchy support
- S/4HANA optimized
- Fabric-ready
Connector / 03
HubSpot certified
Power BI Connector for HubSpot
A no-code connector built for governed HubSpot analytics at scale — full object graph across CRM, Sales, Commerce and Marketing hubs in Power BI, without middleware, data warehouse, or manual exports.
- Multi-hub objects
- Live OData feed
- Shareable data sources
- Cross-object joins
- No replication
- Schedule refresh
/ 01
Operational reporting at enterprise scale.
As Salesforce, HubSpot, and SAP deployments grow, data volumes and relational complexity quickly exceed what manual exports and built-in connectors can reliably support. Reporting becomes slow, inconsistent, and operationally expensive to maintain.
MetricaIntroduces a controlled data layer designed for high-volume relational data. Incremental extraction, schema evolution handling, and enterprise security models deliver predictable refresh performance — and meaningfully reduce ongoing maintenance.
/ 02
Continuous analytics on operational data.
Analytics is no longer a periodic activity. Dashboards and reports are expected to reflect operational reality throughout the day, not just after an overnight refresh.
MetricaSupports frequent incremental refresh at scale without dependence on full reloads. Power BI datasets stay current without compromising performance, governance, or operational stability.
/ 03
Analytics resilient to platform change.
Enterprise platforms evolve continuously. Schema changes, new fields, and API updates regularly invalidate existing Power BI models, refresh logic, and reports — and someone has to fix them.
MetricaA stable data access layer absorbs schema and API evolution in source systems, preserving compatibility for Power BI models. Downstream breakage and rework are largely eliminated.
/ 04
Enterprise governance, enforced at the point of access.
As analytics adoption expands, questions of data ownership, access control, and auditability become critical. Replicated datasets and custom pipelines routinely bypass source-system security models.
MetricaEnforces governance at the point of access. Alignment with SAP, Salesforce, and HubSpot native security is preserved, proliferation of replicated datasets is reduced, and access becomes auditable and policy-consistent.
/ 05
Predictable Power BI performance at scale.
Power BI environments serving executives and operational teams must perform consistently under concurrent usage, large models, and scheduled refresh cycles — not occasionally, every day.
MetricaA production-grade access layer optimized for Power BI workloads. Incremental refresh, predictable query execution, and stable behavior under concurrency — even with large models and sustained enterprise usage.
“
Our reporting used to depend on three engineers and a fragile pipeline. Now it depends on an access layer that we don’t have to think about. That’s what production analytics should feel like.
M
Director of Data Platform
Multinational industrial manufacturer · 200+ Power BI users
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