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Database ⇄ Human resources

Google Cloud SQL to Jobvite integration — real-time, two-way sync

Keep Google Cloud SQL and Jobvite 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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Why teams connect Google Cloud SQL and Jobvite

Put your workforce data where your apps can reach it: Google Cloud SQL and Jobvite share the same people, positions, and org structure in real time.

Jobvite 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: New Hire, Employee, Attachment, Offer in Jobvite need to exist as queryable Tables, Rows, Views, Transaction logs 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 Tables, Rows, Views, Transaction logs in Google Cloud SQL with New Hire, Employee, Attachment, Offer in Jobvite field by field, in real time. You decide which system owns which fields — Jobvite 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.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Push headcount-approved Requisitions from an internal planning database into Jobvite via POST /job so approved roles post to the career site automatically.
  • 04 Consolidate Applications, Offers, and Workflow Status into a warehouse for time-to-fill and funnel reporting across every requisition.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Jobvite stay consistent in Google Cloud SQL, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Google Cloud SQL write onto the matching record in Jobvite where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Jobvite land as queryable Tables, Rows, Views, Transaction logs in Google Cloud SQL, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Google Cloud SQL and Jobvite

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 Jobvite objects How this pairing syncs
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Application Links a candidate to one requisition with its workflow state; read for pipeline reporting and status written back through the candidate update call. Instances is specific to Google Cloud SQL and Application to Jobvite — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. Databases is specific to Google Cloud SQL and Workflow Status to Jobvite — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. Schemas is specific to Google Cloud SQL and New Hire to Jobvite — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Employee Employee roster pushed through POST /employee (Onboard sync), used for referral matching and internal-mobility job postings. Tables is specific to Google Cloud SQL and Employee to Jobvite — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Attachment Resumes, cover letters, and files attached to a candidate; synced out to object storage or a document management system. Rows is specific to Google Cloud SQL and Attachment to Jobvite — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Offer Offer state tied to an application (extended, accepted, declined); read out for offer-acceptance reporting and written to downstream comp or HR systems. Views is specific to Google Cloud SQL and Offer to Jobvite — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Jobvite

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.

Google Cloud SQL Jobvite Sub-second propagation

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 Jobvite through its API, with automatic retries and rate-limit backoff.

Jobvite Google Cloud SQL Sub-second propagation

DetectionJobvite notifies Stacksync of record changes through webhook events. A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events.

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

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • Jobvite: Roughly 15 requests per minute and 850 per hour, reset at midnight Pacific, with per-endpoint daily caps (e.g. 20,000/day candidate GET/PUT, 500/day employee sync); 429 on exceed.
What ships with Google Cloud SQL ⇄ Jobvite

Connect Google Cloud SQL and Jobvite for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL or Jobvite 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 Google Cloud SQL or Jobvite record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Jobvite.

How the Google Cloud SQL and Jobvite connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

Jobvite

Integration surface
REST API (JSON) with candidate, requisition (job), and employee feed endpoints under https://api.jobvite.com/{version}
Authentication
API key (api) and secret (sc) plus company ID (companyId), sent in request headers since Jobvite's April 1, 2024 move from URL-query to header-based auth. Credentials are provisioned per customer by Jobvite Support.
Change detection
A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events; otherwise Stacksync polls the candidate and job feeds on a schedule and diffs results, since records carry no per-item modified-date filter.
Capabilities
read · write · webhooks
Rate limits
Roughly 15 requests per minute and 850 per hour, reset at midnight Pacific, with per-endpoint daily caps (e.g. 20,000/day candidate GET/PUT, 500/day employee sync); 429 on exceed.
Jobvite setup guide
How it works

How to connect Google Cloud SQL to Jobvite — 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 Google Cloud SQL and Jobvite 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
    Google Cloud SQL connected
    Jobvite connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL and Jobvite 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 · Google Cloud SQL ⇄ Jobvite
    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
    Google Cloud SQL Jobvite
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Jobvite 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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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 435 integrations available for Google Cloud SQL and Jobvite.

Popular · 8 of 435
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