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Database ⇄ Human resources

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

Keep AWS Aurora MySQL 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.

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Why teams connect AWS Aurora MySQL and Smartrecruiters

Put your workforce data where your apps can reach it: AWS Aurora MySQL and Smartrecruiters share the same people, positions, and org structure in real time.

Smartrecruiters 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: Candidates, Applications, Jobs, Job Postings in Smartrecruiters need to exist as queryable Foreign keys, Stored procedures and triggers, Databases (schemas), Tables 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 Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL with Candidates, Applications, Jobs, Job Postings 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.

Common use cases

  • 01 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 02 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 03 Export Interviews and Offers to a data warehouse to analyze interviewer load, offer-acceptance rates, and hiring outcomes.
  • 04 Subscribe to the Webhooks API to react to new applications and status changes in near real time across downstream systems.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Smartrecruiters stay consistent in AWS Aurora MySQL, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in AWS Aurora MySQL write onto the matching record in Smartrecruiters where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Smartrecruiters land as queryable Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between AWS Aurora MySQL and Smartrecruiters

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 Smartrecruiters objects How this pairing syncs
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. 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. Databases (schemas) is specific to AWS Aurora MySQL and Candidates to Smartrecruiters — 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. Applications Links a Candidate to a Job and carries the current hiring status and source; created and advanced through statuses (screening, interview, offer, hired, rejected) via the Application API. Tables is specific to AWS Aurora MySQL and Applications to Smartrecruiters — 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. Jobs Requisitions (positions) with openings, departments, locations, and hiring team; created, patched, and read out for requisition and time-to-fill reporting via the Jobs API. Rows is specific to AWS Aurora MySQL and Jobs to Smartrecruiters — 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. 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). Columns is specific to AWS Aurora MySQL and Job Postings to Smartrecruiters — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Interviews Interview types, timeslots, templates, and scheduled interviews with interviewers and times; created, updated, and read for scheduling and interviewer-load analytics. Primary keys and indexes is specific to AWS Aurora MySQL and Interviews to Smartrecruiters — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. 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). Views is specific to AWS Aurora MySQL and Offers to Smartrecruiters — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Smartrecruiters

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

Smartrecruiters AWS Aurora MySQL Sub-second propagation

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

Rate-limit considerations

  • Smartrecruiters: Per API credential: most endpoints allow up to 10 requests/sec (job publication and offer documents 2/sec), plus a concurrency limiter of up to 8 simultaneous requests (GET /candidates capped at 1). Exceeding returns 429; responses carry X-RateLimit-Limit/Remaining and concurrent-limit headers.
What ships with AWS Aurora MySQL ⇄ Smartrecruiters

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Smartrecruiters 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 Smartrecruiters 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 Smartrecruiters record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Smartrecruiters 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 Smartrecruiters.

How the AWS Aurora MySQL and Smartrecruiters 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

Smartrecruiters

Integration surface
SmartRecruiters REST APIs (SmartAPIs) on api.smartrecruiters.com — Candidates, Application, Jobs, Interviews, Offers, Users, Approvals, plus a Webhooks API for event subscriptions
Authentication
X-SmartToken API key header for a customer's own integration (grants full company access, no scopes or expiry), or OAuth 2.0 authorization-code flow for partner and Marketplace apps with user-scoped permissions
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Per API credential: most endpoints allow up to 10 requests/sec (job publication and offer documents 2/sec), plus a concurrency limiter of up to 8 simultaneous requests (GET /candidates capped at 1). Exceeding returns 429; responses carry X-RateLimit-Limit/Remaining and concurrent-limit headers.
Smartrecruiters setup guide
How it works

How to connect AWS Aurora MySQL to Smartrecruiters — 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 Smartrecruiters 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
    Smartrecruiters connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Smartrecruiters
    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 Smartrecruiters
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Smartrecruiters 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 Smartrecruiters.

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