Two-way sync
Changes in BigQuery or Logisense instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery and Logisense in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Account Service, Usage, Invoice, Payment from Logisense into tables in BigQuery in real time, and the connection works in both directions: values computed in BigQuery can be written back to fields in Logisense where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Invoices, payments, and customer records from Logisense arrive in BigQuery as queryable tables, current within seconds instead of a day behind.
Analysts combine Logisense's financial records with product, marketing, or operational data already in BigQuery for reporting the finance system cannot do alone.
Scores or segments computed in BigQuery, like payment-risk flags or customer tiers, sync back onto records in Logisense where the finance team can act on them.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| BigQuery objects | Logisense objects | How this pairing syncs | |
|---|---|---|---|
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Usage Metered usage records fed to the rating engine and classified by Usage Class and Unit; written in from product or warehouse event data. | Tables is specific to BigQuery and Usage to Logisense — each maps to any object or custom field on the other side. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Invoice Generated billing documents with items, history, and status; typically read out to ERPs and warehouses for finance and reconciliation. | Partitioned tables is specific to BigQuery and Invoice to Logisense — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | Payment Payment records whose status changes emit webhooks; read for cash reconciliation and to drive dunning and provisioning workflows. | Clustered tables is specific to BigQuery and Payment to Logisense — each maps to any object or custom field on the other side. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Extension Attribute Custom fields on entities via Extension/Attribute/Entity; discoverable so field mappings extend to org-specific data. | Datasets is specific to BigQuery and Extension Attribute to Logisense — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Account Customer or partner records holding billing settings; hierarchical parent-child, synced two-way with CRM and warehouse customer tables. | Projects is specific to BigQuery and Account to Logisense — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").
DeliveryEach detected change is written to Logisense through its API, with automatic retries and rate-limit backoff.
DetectionLogisense notifies Stacksync of record changes through webhook events. Webhook event subscriptions push near-real-time notifications on record status changes (e.g.
DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Logisense connection.
Changes in BigQuery or Logisense instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Logisense data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Logisense record.
Track your BigQuery ⇄ Logisense sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Logisense.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate BigQuery and Logisense with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the BigQuery and Logisense objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Logisense: authenticate both systems, choose the objects to sync (such as BigQuery's Tables and Partitioned tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both BigQuery and Logisense. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. On Logisense: Webhook event subscriptions push near-real-time notifications on record status changes (e.g. Payment Status Updated), with a Webhook Monitor for retries; entities without webhook coverage are polled via filtered REST queries. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Logisense side: Account Service, Usage, Invoice, Payment, plus custom fields where Logisense exposes them. On the BigQuery side: Tables, Partitioned tables, Clustered tables, Datasets. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for BigQuery and Logisense: Finance analytics without ETL; Revenue joined with everything else; Write-back of computed fields. Invoices, payments, and customer records from Logisense arrive in BigQuery as queryable tables, current within seconds instead of a day behind.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 435 integrations available for BigQuery and Logisense.