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CRM ⇄ Data warehouse

Crustdata to Google Cloud Platform integration — real-time data sync

Keep Crustdata and Google Cloud Platform in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Crustdata and Google Cloud Platform

Flow Crustdata data into Google Cloud Platform in real time — no exports, no schedulers, no custom scripts.

Crustdata is a read-only source: Stacksync reads its data in real time and delivers it into Google Cloud Platform, so Google Cloud Platform always reflects the current state of Crustdata — without exports, scripts, or schedulers.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Companies, People, Headcount and Growth Metrics, Tech Stack from Crustdata land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Crustdata. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Enrich CRM accounts with firmographics, headcount growth, and tech stack so scoring and routing run on complete data.
  • 02 Fill missing contact fields on CRM people records from Crustdata profiles instead of manual research.
  • 03 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Cleanup that sticks

Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Crustdata are queryable in Google Cloud Platform moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Crustdata, where the people working accounts actually see them.

What you can sync between Crustdata and Google Cloud Platform

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.

Crustdata objects Google Cloud Platform objects How this pairing syncs
People Contact and profile data for decision-makers; read into a CRM or outreach tool to fill missing titles, emails, and LinkedIn profiles. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. People is specific to Crustdata and Cloud Storage objects to Google Cloud Platform — each maps to any object or custom field on the other side.
Headcount and Growth Metrics Time-series employee counts by department and region; read to score accounts on hiring momentum and expansion signals. Pub/Sub topics Event streams used to move change events between systems in near real time. Headcount and Growth Metrics is specific to Crustdata and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Tech Stack Detected technologies per company; read to build segments and route accounts by the tools they already use. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Tech Stack is specific to Crustdata and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Screener Results Saved company searches with filter criteria; read on a schedule so target-account lists in the CRM refresh as companies enter the criteria. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Screener Results is specific to Crustdata and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Enrichment Responses Real-time enrichment lookups keyed by domain or profile URL; read to append fresh firmographic and contact data at form-fill or record-creation time. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Enrichment Responses is specific to Crustdata and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side.
Companies Firmographic records — industry, size, funding, growth signals; read out to enrich CRM accounts and warehouse company tables. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Companies is specific to Crustdata and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Crustdata and Google Cloud Platform

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.

Crustdata Google Cloud Platform Interval-based propagation

DetectionStacksync polls Crustdata for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets.

DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Crustdata Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

DeliveryCrustdata does not accept inbound record writes, so this direction carries requests rather than records: Crustdata's output flows back as field updates on the originating Google Cloud Platform records.

Rate-limit considerations

  • Crustdata: Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Crustdata ⇄ Google Cloud Platform

Connect Crustdata and Google Cloud Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Crustdata–Google Cloud Platform connection.

Real-time

Real-time sync

Changes in Crustdata or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Crustdata or Google Cloud Platform data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Crustdata or Google Cloud Platform record.

Observability

Monitoring

Track your Crustdata ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Crustdata and Google Cloud Platform.

How the Crustdata and Google Cloud Platform connectors work

Crustdata

Integration surface
REST API (JSON)
Authentication
API token — Authorization: Token header issued per workspace
Change detection
Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets; no webhooks or change feed
Capabilities
read
Rate limits
Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Crustdata to Google Cloud Platform — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Crustdata and Google Cloud Platform with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Crustdata connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Crustdata and Google Cloud Platform 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Crustdata ⇄ Google Cloud Platform
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Crustdata Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Crustdata and Google Cloud Platform integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 337 integrations available for Crustdata and Google Cloud Platform.

Popular · 4 of 337
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