Two-way sync
Changes in Google Cloud SQL or Smartrecruiters instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud SQL and Smartrecruiters in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Smartrecruiters is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Google Cloud SQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Job Postings, Interviews, Offers, Users in Smartrecruiters need to exist as queryable Rows, Views, Transaction logs, Instances in Google Cloud SQL before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs Rows, Views, Transaction logs, Instances in Google Cloud SQL with Job Postings, Interviews, Offers, Users in Smartrecruiters field by field, in real time. You decide which system owns which fields — Smartrecruiters typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
Values assembled or corrected in Google Cloud SQL write onto the matching record in Smartrecruiters where those fields are writable, keeping the people system enriched.
Records maintained in Smartrecruiters land as queryable Rows, Views, Transaction logs, Instances in Google Cloud SQL, so internal apps and dashboards read live data instead of a periodic export.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
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.
| Google Cloud SQL objects | Smartrecruiters objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Job Postings Job ads and publications pushed to the career site and job boards; created and managed via the job publication endpoints (rate-limited to 2 requests/sec). | Schemas is specific to Google Cloud SQL and Job Postings to Smartrecruiters — each maps to any object or custom field on the other side. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | Interviews Interview types, timeslots, templates, and scheduled interviews with interviewers and times; created, updated, and read for scheduling and interviewer-load analytics. | Tables is specific to Google Cloud SQL and Interviews to Smartrecruiters — each maps to any object or custom field on the other side. | |
| Rows Read and written by primary key during each sync cycle. | Offers Offer records tied to an Application with status, custom offer fields, and offer documents; readable and writable, commonly synced to an HRIS on hire (documents endpoint limited to 2 requests/sec). | Rows is specific to Google Cloud SQL and Offers to Smartrecruiters — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before syncing it out. | Users Company users (recruiters, hiring managers) with roles, access groups, and activation state; read and written via the User Management API. | Views is specific to Google Cloud SQL and Users to Smartrecruiters — each maps to any object or custom field on the other side. | |
| Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Approvals Approval requests for jobs and offers; requests can be created, retrieved as pending, commented on, and approved or rejected via the Approvals API. | Transaction logs is specific to Google Cloud SQL and Approvals to Smartrecruiters — each maps to any object or custom field on the other side. | |
| Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Candidates Person records with contact details, tags, attachments, custom properties, and consent; created, updated, and searched via the Candidates API, often populated from sourcing or enrichment pipelines. | Instances is specific to Google Cloud SQL and Candidates to Smartrecruiters — 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 Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
DeliveryEach detected change is written to Smartrecruiters through its API, with automatic retries and rate-limit backoff.
DetectionSmartrecruiters notifies Stacksync of record changes through webhook events. Webhooks API — subscribe to events (new application, candidate updated, status changed) delivered with a signing secret and retrievable callback logs.
DeliveryEach detected change is applied to Google Cloud SQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Smartrecruiters connection.
Changes in Google Cloud SQL or Smartrecruiters instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud SQL or Smartrecruiters data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud SQL or Smartrecruiters record.
Track your Google Cloud SQL ⇄ Smartrecruiters sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Smartrecruiters.
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 Google Cloud SQL and Smartrecruiters 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 Google Cloud SQL and Smartrecruiters 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 Google Cloud SQL and Smartrecruiters: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Google Cloud SQL and Smartrecruiters. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. On Smartrecruiters: Webhooks API — subscribe to events (new application, candidate updated, status changed) delivered with a signing secret and retrievable callback logs; otherwise poll list endpoints with updated-after-style filters. No log-based change data capture. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud SQL side: Rows, Views, Transaction logs, Instances, plus custom fields where Google Cloud SQL exposes them. On the Smartrecruiters side: Job Postings, Interviews, Offers, Users. 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 Google Cloud SQL and Smartrecruiters: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in Google Cloud SQL write onto the matching record in Smartrecruiters where those fields are writable, keeping the people system enriched.
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 Google Cloud SQL and Smartrecruiters.