Modern data-driven companies rely on more than just dashboards and quick metrics—they want deep insights that power operational decisions, consumer behavior understanding, and strategic forecasting. This is where the crucial role of event-level analytics and a reliable data warehouse kicks in. Today, many analysts are turning to specialized analytics services to funnel granular event data directly into BigQuery or ClickHouse, enabling more advanced, slice-and-dice business intelligence (BI).
Analysts prefer tools that support raw event export to cloud data warehouses like BigQuery and ClickHouse for customized, powerful BI analytics. Services like RudderStack, Segment, and Snowplow offer real-time event tracking pipelines that integrate natively with warehouse platforms. This list outlines the top 7 services that make data warehouse integration seamless while preserving flexibility and scale. Whether you’re scaling a startup or optimizing enterprise analytics, these tools are a part of every modern data stack.
Analytics tools that prioritize your data warehouse as the single source of truth put YOU in control. Instead of relying on proprietary dashboards built by the tool, you get raw, event-level data straight into a SQL-friendly environment, where you can model and analyze it however you like.
With platforms like Google BigQuery and ClickHouse, this setup enables fast, cost-efficient querying at petabyte scale. These tools help analysts uncover behavioral patterns, run attribution models, monitor product usage, and feed downstream machine learning models without infrastructure challenges.
Best for: Developer-friendly event collection with full data warehouse support.
RudderStack is an open-source alternative to Segment that excels at routing real-time event data into BigQuery, Redshift, or ClickHouse. By deploying event tracking on web, mobile apps, or servers, RudderStack lets data-oriented teams capture user interactions and move them into cloud warehouses effortlessly.
Its developer-first approach also means you can keep tight control over your tracking plan while scaling to millions of events per day.
Best for: Teams looking for enterprise-grade customer data infrastructure.
Segment has long been a leader in customer data infrastructure, and its mature integrations with BigQuery are popular among both startups and Fortune 500s. Segment allows teams to capture structured event data from websites, apps, and servers with minimal engineering effort.
Segment is particularly strong in helping data teams maintain clean, enriched datasets in their warehouse, making it easy to build self-service platforms and run sophisticated analyses.
Best for: Teams needing complete control and transparency of event pipelines.
Snowplow is an advanced event-level data platform that’s great for analytics engineers who want accuracy, verification, and privacy-respectful data capture. Unlike Segment, Snowplow provides richer context and customization across the entire data collection workflow. And yes—it pipes beautifully into BigQuery or ClickHouse.
Its flexibility makes it popular with enterprises in regulated industries wanting full accountability around every tracked event.
Best for: Product teams that want auto-tracking with downstream warehouse integration.
Heap automatically captures every user interaction without requiring developers to manually tag events. This auto-captured data is incredibly valuable when piped into a data warehouse like BigQuery, where teams can write complex queries over clickstreams and behavioral journeys.
Heap is ideal for digital product managers and UX teams who want rapid visibility without compromising on downstream data availability.
Best for: Teams looking for open-source product analytics with control over destination.
PostHog is a fast-growing open-source product analytics platform built for engineers. It provides session recordings, funnels, feature flags, and event tracking—all with the ability to own your own data.
As a bonus, you can run PostHog on your infrastructure and sync raw events to your data warehouse for more in-depth BI use cases.
Best for: ETL job automation to combine event tracking data with other business sources.
While Fivetran isn’t an event tracking library itself, it plays a vital role in syncing external events—from tools like Segment, Salesforce, Google Analytics—into BigQuery or ClickHouse. It automates pipeline building and schema management, ideal for teams merging event data with customer data, financial records, or marketing data.
If you’re looking to enrich event data with BI relevance by combining it with other operational sources, Fivetran is a no-brainer.
Best for: Highly regulated industries requiring private cloud data routing.
Metarouter is a server-side customer data routing solution that focuses on compliance and data governance. Unlike cloud-based event platforms, Metarouter offers private cloud deployments that bake in security and compliance from the start—great for enterprise analysts that need complete sovereignty over piped data.
Data teams in finance, healthcare, and government tech use Metarouter to route clean, event-level data into BigQuery for BI—without any third-party exposure.
Your decision on which analytics service to use should depend on:
For product-driven teams at startups, Heap and PostHog offer quick wins with warehouse compatibility. If you’re scaling fast and need governance, Segment or Snowplow may be a better fit. For highly technical teams, RudderStack gives you full flexibility with an engineering-first take. Don’t forget Fivetran as it ties everything together with rich external sources.
Having a data warehouse like BigQuery or ClickHouse as your analytics heart doesn’t mean you have to sacrifice ease of use or flexibility. With the right event-piping service, analysts can dig deep, build ML pipelines, run cohort studies, and produce high-impact BI—without waiting on dashboards to load or battling with data quality.
Remember: owning your raw data means owning your insights. These seven services empower analysts and engineers to do just that—turn event data into strategic advantage.