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General Availability of New Relic Lens

General Availability of New Relic Lens

DevOps New Relic
New Relic Lens enables cross-database SQL joins across external sources like Snowflake and Google Sheets without requiring expensive data ingestion.
What: New Relic's generally available 'Lens' feature allows users to query and correlate telemetry with business data directly where it lives, using ephemeral caching to avoid extra storage costs.
Why it matters: Engineering organizations are increasingly moving away from centralizing every piece of data in one warehouse, preferring to query data across disparate silos to save on egress and ingestion fees.
Takeaway: Evaluate your dashboards to identify where you are manually joining telemetry with business metadata; replace these workflows by connecting your Snowflake or MySQL sources directly to New Relic Lens.
Decoder
  • Data Federation: An architectural approach that allows multiple databases to be queried as if they were a single database without physically moving the data into one location.
  • Ephemeral Caching: Storing data temporarily in memory or on disk for a very short period (e.g., one minute) to improve UI performance without creating a persistent copy.
Original article

Connect External Data for Complete Insight, Without the Ingestion Tax

Today, we are excited to announce the General Availability of New Relic Lens—a powerful data federation capability designed to simplify and accelerate data discovery and analysis across multiple environments. With New Relic Lens, you can easily connect your observability data directly to your business outcomes and transform that data into actionable insights, all without paying for extra data ingestion.

What is New Relic Lens?

New Relic Lens allows you to connect and query multiple external data sources—like Snowflake, Google Sheets, PostgreSQL, MySQL, and more—using standard SQL, all from within the New Relic UI. Users can combine, analyze, and correlate telemetry and non-telemetry (business) data using sophisticated cross-database JOINs without ingesting the external data, effectively breaking down organizational data silos.

Query your metadata on your uses stored in Snowflake:
SELECT userId, name, company FROM snowflake.users.user_metadata

Query New Relic data through Lens:
SELECT enduser.id FROM telemetry.PageView

Join your page view data with metadata from Snowflake to group the data by company
SELECT sf.company, COUNT(*)
FROM telemetry.PageView nr
JOIN snowflake.users.user_metadata sf ON nr.enduser.id = sf.userId
GROUP BY sf.company

Why Lens?

If you are an engineering leader, product manager, or IT Ops lead, this scenario probably sounds familiar: You want to tie system performance (like checkout latency) to business metrics (like shopping cart revenue), but that business data lives in a separate database like Snowflake.

Traditionally, integrating this data meant paying a "double tax" on ingestion: you paid once to store the data in your database, and you paid again to ingest it into your observability platform just to visualize it. Alternatively, you resorted to chaotic workarounds, manually exporting data into separate BI tools. New Relic Lens changes the game by querying the data exactly where it lives.

Key Features & Capabilities

  • Zero-Ingestion Connectors: Query external databases directly without duplicating or persistently storing raw data within New Relic. Seamlessly access data that includes Google Sheets, Iceberg, Snowflake, Postgres, MySQL, Redshift, Prometheus, MongoDB, ElasticSearch, AWS CloudWatch, ClickHouse, SQL Server, Databricks (Azure) with more being added.
  • Cross-Database JOINs in SQL: Uniquely combine datasets from entirely different external databases into a single query and visualization widget. Write complex queries joining all of your data in standard SQL, going beyond traditional NRQL boundaries.
  • Materialized Views: Accelerate dashboard performance and reduce external compute costs by storing precomputed query results in Iceberg-backed databases. This is especially effective for complex, high-volume datasets and results in only minimal data ingestion fees.
  • Unified Data View: Embed external business metrics alongside Application, AI, and Infrastructure telemetry natively within Dashboards and the new New Relic Notebooks feature to gain immediate, actionable context.
  • Ephemeral Caching for Security: Security is built-in. Data is queried on demand and only briefly cached—for about a minute—to render in the UI. We do not ingest, index, or store your raw business data in New Relic, except when you explicitly choose to use Materialized Views.

Transforming Your Workflows

New Relic Lens empowers you to perform deep analysis that previously took hours of manual correlation. Here is how it transforms your workflows:

  • Align System Performance with Revenue: Compare New Relic infrastructure metrics directly with budget or revenue data stored in Snowflake, placing it all on the same dashboard to instantly see the financial impact of downtime or latency.
  • Cross-Database Correlation: Track usage or incidents by combining data from disparate sources, such as correlating support tickets in Jira with infrastructure provisioning data natively inside New Relic.
  • Optimize Dashboard Performance and Costs: Use Materialized Views for high-traffic executive dashboards to prevent repeated, expensive compute calls on your source database while ensuring visualizations load instantly.

Get Started Today

It's time to break down the barriers between your databases and analyze your aggregated data in a single, unified observability platform. Stop double ingesting and start saving.

New Relic Lens is available to all paid customers. By default, access is restricted to users with the 'organization_manager' role. Administrators can easily adjust these permissions or configure Fine-Grained Access (FGA) for connectors to grant access to other team members as needed.

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