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Database ⇄ Human resources

AWS Aurora MySQL to Jobvite integration — real-time, two-way sync

Keep AWS Aurora MySQL 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Jobvite

Put your workforce data where your apps can reach it: AWS Aurora MySQL 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. AWS Aurora MySQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Requisition (Job), Application, Workflow Status, New Hire in Jobvite need to exist as queryable Rows, Columns, Primary keys and indexes, Views in AWS Aurora MySQL 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, Columns, Primary keys and indexes, Views in AWS Aurora MySQL with Requisition (Job), Application, Workflow Status, New Hire 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 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 02 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 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

Mirror people records into the database

Records maintained in Jobvite land as queryable Rows, Columns, Primary keys and indexes, Views in AWS Aurora MySQL, so internal apps and dashboards read live data instead of a periodic export.

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

Reporting and analytics on current data

Requisition (Job), Application, Workflow Status, New Hire replicate into AWS Aurora MySQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between AWS Aurora MySQL 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.

AWS Aurora MySQL objects Jobvite objects How this pairing syncs
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. Foreign keys is specific to AWS Aurora MySQL and Workflow Status to Jobvite — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. Stored procedures and triggers is specific to AWS Aurora MySQL and New Hire to Jobvite — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Employee Employee roster pushed through POST /employee (Onboard sync), used for referral matching and internal-mobility job postings. Databases (schemas) is specific to AWS Aurora MySQL and Employee to Jobvite — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Attachment Resumes, cover letters, and files attached to a candidate; synced out to object storage or a document management system. Tables is specific to AWS Aurora MySQL and Attachment to Jobvite — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Offer Offer state tied to an application (extended, accepted, declined); read out for offer-acceptance reporting and written to downstream comp or HR systems. Rows is specific to AWS Aurora MySQL and Offer to Jobvite — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Candidate Read from the candidate feed (GET /candidate) and written back via POST /candidate/updateCandidates to change status, notes, and disposition on each record. Columns is specific to AWS Aurora MySQL and Candidate to Jobvite — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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.

AWS Aurora MySQL Jobvite Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is written to Jobvite through its API, with automatic retries and rate-limit backoff.

Jobvite AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • 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 AWS Aurora MySQL ⇄ Jobvite

Connect AWS Aurora MySQL and Jobvite for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Jobvite connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Jobvite instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Jobvite record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Jobvite sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Jobvite.

How the AWS Aurora MySQL and Jobvite connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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 AWS Aurora MySQL 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    Jobvite connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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
    AWS Aurora MySQL Jobvite
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL 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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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 450 integrations available for AWS Aurora MySQL and Jobvite.

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