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Lovable Adds Amazon Redshift and Microsoft Fabric Connectors

LovableView original changelog

Lovable added two new app connectors for enterprise data warehouses: Amazon Redshift, which lets apps run SQL statements and read results via the Redshift Data API on provisioned clusters and serverless workgroups, and Microsoft Fabric, which lets apps query Lakehouses, Warehouses, SQL databases, and KQL databases through GraphQL APIs. Both connectors are reachable from the Connectors menu or by requesting the integration directly inside a project. The additions target analytics dashboards, internal query consoles, operations tooling, and other apps that need to read directly from an organization's existing data warehouse.

Key Takeaways

  • Lovable now connects directly to Amazon Redshift, letting apps run SQL against provisioned clusters or serverless workgroups via the Redshift Data API.
  • The new Microsoft Fabric connector reaches Lakehouses, Warehouses, SQL databases, and KQL databases through Fabric's GraphQL APIs in a single integration.
  • Both connectors are aimed squarely at internal dashboards and reporting tools, not consumer-facing apps, extending Lovable's reach into enterprise BI workflows.
  • The additions round out a broader push into enterprise data warehouses, following recent connectors for dbt Semantic Layer, ClickHouse, and BigQuery.
  • Setup requires no custom backend work — builders reach both connectors from the same Connectors menu or by asking the agent directly in chat.
  • The same release also quietly improved security-scan accuracy, filtering out vulnerability alerts for dependencies that can't actually affect a deployed app.

New Connectors: Amazon Redshift and Microsoft Fabric

Lovable expanded its app-connector lineup with support for two major enterprise data warehouse platforms: Amazon Redshift and Microsoft Fabric. Both connectors let apps built on Lovable query an organization's existing analytical data directly, rather than requiring builders to stand up a custom backend integration first.

Amazon Redshift

The new Redshift connector lets apps run SQL statements and read the results through Amazon's Redshift Data API, working against both provisioned clusters and serverless workgroups. Lovable positions this for analytics dashboards, internal query consoles, and reporting tools that sit on top of a company's Redshift warehouse — use cases where a team already has its data modeled in Redshift and wants a fast way to expose it through a custom app interface.

Microsoft Fabric

The Microsoft Fabric connector takes a similar approach for Microsoft's unified analytics platform, letting apps query Lakehouses, Warehouses, SQL databases, and KQL databases through Fabric's GraphQL APIs. Lovable calls out operations dashboards, internal tools, and multi-source data apps as the primary fit — situations where a team's data is spread across several Fabric item types and needs a single app-level entry point to read from all of them.

How to Connect

Both connectors are available the same way as Lovable's other integrations: through the Connectors menu inside a project, or by simply asking Lovable's agent to wire up the integration during a build session.

Why It Matters

Together, these two connectors round out Lovable's data-warehouse coverage alongside its existing dbt Semantic Layer, ClickHouse, and BigQuery connectors, giving teams standardized on either the AWS or Microsoft analytics stack a native path to build internal tools and dashboards on top of their governed data — without hand-rolling authentication and query plumbing for Redshift's Data API or Fabric's GraphQL layer.

Also in This Release

The same release also tuned Lovable's dependency vulnerability scanner to cut down on false alarms: critical vulnerabilities that cannot actually affect a deployed app (for example, build-time-only dependencies) are now excluded from vulnerability totals, though the flagged packages remain visible in the Security view with an explanatory marker.