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Database ⇄ Human resources

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

Keep Amazon Aurora 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 Amazon Aurora and Smartrecruiters

Put your workforce data where your apps can reach it: Amazon Aurora 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. Amazon Aurora is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Approvals, Candidates, Applications, Jobs in Smartrecruiters need to exist as queryable Primary and Foreign Keys, Read Replicas, Databases, Schemas in Amazon Aurora 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 Primary and Foreign Keys, Read Replicas, Databases, Schemas in Amazon Aurora with Approvals, Candidates, Applications, Jobs 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 Consolidate several Aurora clusters into one reporting database.
  • 02 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 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

Mirror people records into the database

Records maintained in Smartrecruiters land as queryable Primary and Foreign Keys, Read Replicas, Databases, Schemas in Amazon Aurora, 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

Approvals, Candidates, Applications, Jobs replicate into Amazon Aurora where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Smartrecruiters objects How this pairing syncs
Read Replicas Reader endpoints that syncs can target to keep load off the writer. 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). Read Replicas is specific to Amazon Aurora and Job Postings to Smartrecruiters — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Interviews Interview types, timeslots, templates, and scheduled interviews with interviewers and times; created, updated, and read for scheduling and interviewer-load analytics. Databases is specific to Amazon Aurora and Interviews to Smartrecruiters — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. 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). Schemas is specific to Amazon Aurora and Offers to Smartrecruiters — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Users Company users (recruiters, hiring managers) with roles, access groups, and activation state; read and written via the User Management API. Tables is specific to Amazon Aurora and Users to Smartrecruiters — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Approvals Approval requests for jobs and offers; requests can be created, retrieved as pending, commented on, and approved or rejected via the Approvals API. Views is specific to Amazon Aurora and Approvals to Smartrecruiters — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. 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. Materialized Views is specific to Amazon Aurora and Candidates to Smartrecruiters — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora 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.

Amazon Aurora Smartrecruiters Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

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

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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 Amazon Aurora ⇄ Smartrecruiters

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

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

Real-time

Two-way sync

Changes in Amazon Aurora or Smartrecruiters instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Smartrecruiters record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Smartrecruiters sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Smartrecruiters.

How the Amazon Aurora and Smartrecruiters connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Smartrecruiters connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Smartrecruiters
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Smartrecruiters integration FAQ

SECURITY

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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 434 integrations available for Amazon Aurora and Smartrecruiters.

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