Sync Square payment data to BigQuery and run analytics on your sales, inventory, and revenue streams without manual exports. Stop wrestling with API documentation and CSV uploads—Redbird automates the flow between your point-of-sale and data warehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream payment, refund, and tender data from Square to BigQuery tables as transactions occur. Build dashboards on live sales data across all locations and channels without waiting for end-of-day exports.
Pull complete product catalogs, variations, categories, and stock levels from Square into BigQuery on a scheduled basis. Join sales transactions with product metadata to analyze performance by category, modifier, and location.
Push customer lifetime value scores, segment classifications, and predictive analytics from BigQuery back to Square customer profiles. Enable location teams to see enriched customer data at point-of-sale.
Automatically export complete transaction histories, including itemizations, taxes, and payment methods to BigQuery for long-term storage. Maintain queryable records beyond Square's retention windows for regulatory compliance.
Cross-reference Square settlement data against BigQuery financial records to identify discrepancies and ensure payment accuracy. Alert finance teams when daily totals don't match across systems.
Run ML models in BigQuery on historical Square sales velocity and stock levels to predict stockouts. Automatically notify inventory managers before high-demand items run out at specific locations.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Square with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Square's payment and inventory schemas alongside BigQuery's data warehouse structure, so you can automate data flows without building custom pipelines.
Redbird automatically recognizes Square payment objects, itemizations, tender types, and customer records, then maps them to optimized BigQuery table schemas. The AI handles nested payment details, tax breakdowns, modifier structures, and location hierarchies without manual column mapping. Schema changes in Square are detected and reconciled automatically, keeping your warehouse data fresh. Transform raw transaction JSON into queryable tables ready for BI tools and ML models.
faster than building custom ETL pipelines for Square payment data
Redbird can pull from BigQuery and Square simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or Square.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into Square, or from Square back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any Square transaction or BigQuery query result and take action across both systems.
Trigger when a scheduled BigQuery query returns values exceeding defined thresholds for revenue, transaction volume, or customer metrics.
Detect when specific BigQuery tables receive new rows or updates, such as enriched customer segments or predictive analytics results.
Trigger when time-based BigQuery jobs finish running, such as nightly sales aggregations or weekly cohort analyses.
Write Square transaction, customer, or inventory data directly into specified BigQuery tables with automatic schema matching.
Run BigQuery SQL statements with dynamic parameters from Square data, such as customer IDs or transaction timestamps.
Build BigQuery views that combine Square payment data with other sources for unified analytics dashboards.
Trigger when a Square payment is successfully processed, capturing transaction details, items purchased, and tender information.
Detect when refunds are processed in Square, including partial refunds and reason codes for returns analysis.
Trigger when product stock levels change at any location, enabling real-time inventory tracking and depletion monitoring.
Write enriched data from BigQuery analytics back to Square customer records, such as segment tags or lifetime value scores.
Modify stock levels for products at specific locations based on BigQuery forecasting or external inventory management data.
Add new products to Square catalogs programmatically using product data enriched or validated in BigQuery.
Stop exporting Square data manually and start running analytics on live payment and sales data. Connect BigQuery and Square with Redbird and automate your retail data pipeline.