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Peliqan

Data activation for BigQuery

Activate your BigQuery data: business alerts, custom reporting, publish data APIs, set up reverse ETL, automations & integrations with low-code Python.

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300+ ETL connectors
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BigQuery as your central data warehouse

About this connector

What is BigQuery?


BigQuery is Google Cloud's serverless data warehouse, built for massive-scale analytics without infrastructure management. It charges per query and supports SQL alongside built-in machine learning. Peliqan replaces custom pipeline work with pre-built connectors that sync into BigQuery automatically, including incremental updates, schema management, and federated queries across BigQuery and SaaS sources.

Why centralize on BigQuery

Get more from your BigQuery warehouse


  • Centralize SaaS, database, and file sources in BigQuery through managed ELT connectors
  • Run governed SQL analytics across all business applications in one place
  • Build executive dashboards on top of BigQuery with Power BI, Tableau, or Metabase
  • Power AI agents and Text-to-SQL on live BigQuery data through MCP
  • Skip the cost and engineering overhead of building Airflow, ADF, or Glue pipelines

Instant pipelines for BigQuery: ETL and reverse ETL

Sync data from 300+ SaaS business applications and databases into BigQuery with a few clicks. 

Sync data from BigQuery back into your business applications (reverse ETL). Prepare data for your favorite BI tool such as Microsoft Power BI, Tableau, Qlik Sense, Looker or Metabase.

Peliqan Fav Icon
Peliqan DW

Snowflake data warehouse
Snowflake

redshift
Redshift

Clickhouse
Clickhouse

MS Fabric
MS Fabric

Instant data warehouse

Spreadsheet UI and SQL for BigQuery

Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. SQL queries become new tables that can be shared with business users and used in any BI tool.

Use Peliqan’s built-in distributed query engine to combine data between sources, e.g. write between tables in BigQuery and other external databases.

Spreadsheet UI

Visualize your BigQuery data

Use your preferred BI tool (Power BI, Tableau, Metabase etc.) to visualize your BigQuery data.

Deploy Metabase with a single click from the Peliqan Market Place and use BigQuery in Metabase.

Sync with Google Sheets for easy data analysis from any source.

Connect your data to Microsoft Power BI
Power BI

Sync data to Metabase
Metabase

Tableau

Superset
Superset

Visualize

Visualize

Let AI do the work for you

Peliqan’s AI assistant helps you to write SQL queries to get to insights fast. Ask your question in plain English and immediately see the result in Peliqan’s rich spreadsheet viewer.

Use Retrieval-Augmented Generation (RAG) for knowledge lookups and text-to-SQL for analytics. Deploy AI agents that can answer questions, produce SQL, or trigger actions.

SaaS Data Cockpit

Access, combine, and report on data from BigQuery and all your SaaS apps instantly.
Gain valuable insights by bringing all your business data together in one place within minutes.

Connect 300+ SaaS business applications and databases to BigQuery with 2-way connectors: ETL and reverse ETL

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Beyond Simple Sync

A cloud data platform for everything you want to do with BigQuery data after the sync.

Ad hoc analysis

Analyze your BigQuery data with SQL or in a spreadsheet.

Self-service access

Enable business users with controlled self-service data access to BigQuery.

Spreadsheet BI

Work with your BigQuery data in a spreadsheet that is always up-to-date.

Dashboards

Create charts and visualize your BigQuery data in dashboards.

Data verification

Create views for “human in the loop” processes when working with BigQuery data.

Reporting

Build custom reports from BigQuery in HTML, PDF…

Built with enterprise-grade security and compliance.

SOC 2 Type II
GDPR-compliant
HIPAA compliant
ISO 27001

G2 Badges 2026

Frequently asked questions

How does Peliqan load data into BigQuery?

Peliqan provides 300+ managed ELT connectors that load data directly into BigQuery with incremental syncs, automatic schema evolution, and managed credential rotation. There is no need to write Airflow DAGs, Azure Data Factory pipelines, or Glue jobs.

Connect a source in a few clicks, choose the tables you need, and Peliqan handles the rest. Initial backfills and ongoing incremental loads run on a schedule you control.

Which sources can I sync into BigQuery with Peliqan?

Peliqan covers 300+ sources including CRM (Salesforce, HubSpot, Pipedrive), ERP (NetSuite, SAP, Odoo, Exact Online, AFAS), ecommerce (Shopify, WooCommerce, Magento), marketing tools, support platforms, databases, and files. Browse the full connector catalog to see every source available.

If a source is not yet supported, Peliqan offers a 2-week custom connector SLA so you are never blocked.

How often is data refreshed in BigQuery?

Sync frequency is configurable per connector. The default is every 15 minutes on the Pro plan, with custom schedules and on-demand triggers available on higher tiers. Sync mode is incremental, so only new or changed records are pulled, which keeps source API usage low and costs predictable.

Can I push data out of BigQuery to operational tools?

Yes. Peliqan’s reverse ETL pushes data from BigQuery back into operational systems like Salesforce, HubSpot, Mailchimp, or Slack. Run flows on a schedule, on demand, or trigger them with SQL conditions. Read the reverse ETL documentation for setup details.

What can I build on top of BigQuery once Peliqan is in place?

Once data lands in BigQuery, you can run SQL queries, build dashboards in Power BI, Tableau, Metabase, or Looker, expose data to AI agents through MCP servers, build Text-to-SQL workflows, or trigger reverse ETL flows. Peliqan also includes a built-in spreadsheet UI for ad hoc analysis without writing SQL.

Is BigQuery on Peliqan secure and GDPR compliant?

Peliqan is SOC 2 Type II certified, GDPR compliant, and ISO 27001 certified. Credentials are stored encrypted at rest, all transfers happen over TLS, and EU-resident data stays in EU infrastructure on the eu.peliqan.io region.

3 ways to load data into BigQuery

Native BigQuery loaders

  • COPY commands and bulk loaders for individual sources
  • No managed connectors for SaaS applications
  • Manual schema management for every table
  • No incremental sync, no built-in CDC
  • Reverse ETL requires a separate tool

Custom code with Airflow / ADF / Glue

  • Full control, but engineering-heavy to build
  • Must handle OAuth, retries, and rate limits per source
  • Schema changes break pipelines silently
  • Ongoing maintenance burden on your data team
  • Reverse ETL and AI access require separate tooling

BigQuery on Peliqan

  • 300+ managed connectors, no code required
  • Incremental syncs and automatic schema evolution
  • Bidirectional writeback for reverse ETL
  • Built-in warehouse, BI, AI, and MCP in one platform
  • SOC 2 Type II, GDPR compliant, EU hosted

Request a BigQuery demo →

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