Reactor
BigQueryReactor + Google BigQuery

Seamless, scalable pipelines for BigQuery.

Automate data ingestion from 500+ sources. Maintain consistency across every system. Land structured tables in BigQuery without engineering overhead.

Why Reactor + BigQuery

Built for BigQuery-native teams.

Automated ingestion from 500+ sources

Connect to APIs, databases, and SaaS apps. Reactor handles ingestion, leaving your team free for analysis.

Consistent data across sources

Automatic mapping and unified fields land structured tables in BigQuery, no field-name chaos, no broken joins.

Reduce operational overhead

Streamline data ingestion and transformation before it reaches BigQuery, so your team spends less time on manual data prep.

AI-ready by design

Tables land shaped for ML, generative AI, and analytics use cases. No additional modeling required.

From source to BigQuery

Land structured data in minutes.

Connect any source. Reactor maps, models, and lands data in BigQuery, ready for Looker, Vertex AI, and your analytics stack.

Talk to our team
1
Connect any source
500+ pre-built connectors. Set up in minutes, not weeks.
2
Map and model at ingest
Define common semantics. Reactor unifies and structures the data.
3
Land in BigQuery
Tables ready for Looker dashboards, Vertex AI, and SQL analytics.

FAQ

Got questions?

Common questions about Reactor + BigQuery.

Talk to our team
01How does Reactor integrate with BigQuery?
Reactor writes directly into BigQuery datasets using native APIs. Schema management, partitioning, and clustering are all configurable, and your tables come out optimized for cost and query speed.
02Does Reactor work with Looker and Vertex AI?
Yes. Reactor's output tables are structured and modeled, so Looker dashboards work without additional LookML logic and Vertex AI workloads get clean, labeled training data out of the box.
03How does it impact BigQuery costs?
By doing field mapping and modeling at ingest, Reactor eliminates expensive transformation queries that would otherwise run in BigQuery. Customers typically see 40-60% reduction in slot usage.

Ready when you are

Make BigQuery smarter.

Get started with Reactor and accelerate your BigQuery data initiatives today.