Two-way sync
Changes in Amazon Aurora or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
Jobvite 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: Candidate, Requisition (Job), Application, Workflow Status in Jobvite need to exist as queryable Tables, Views, Materialized Views, Columns and Data Types 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 Tables, Views, Materialized Views, Columns and Data Types in Amazon Aurora with Candidate, Requisition (Job), Application, Workflow Status 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.
Records maintained in Jobvite land as queryable Tables, Views, Materialized Views, Columns and Data Types in Amazon Aurora, 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.
Candidate, Requisition (Job), Application, Workflow Status replicate into Amazon Aurora where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
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 | Jobvite objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in 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. | Primary and Foreign Keys is specific to Amazon Aurora and Offer to Jobvite — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Candidate Read from the candidate feed (GET /candidate) and written back via POST /candidate/updateCandidates to change status, notes, and disposition on each record. | Read Replicas is specific to Amazon Aurora and Candidate to Jobvite — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Requisition (Job) Job openings created or updated through POST /job and read from GET /jobFeed; maps to opening tables in an ATS reporting warehouse. | Databases is specific to Amazon Aurora and Requisition (Job) to Jobvite — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Application Links a candidate to one requisition with its workflow state; read for pipeline reporting and status written back through the candidate update call. | Schemas is specific to Amazon Aurora and Application to Jobvite — each maps to any object or custom field on the other side. | |
| Tables Relational tables synced bi-directionally at row level. | Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. | Tables is specific to Amazon Aurora and Workflow Status to Jobvite — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. | Views is specific to Amazon Aurora and New Hire to Jobvite — 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 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 Jobvite through its API, with automatic retries and rate-limit backoff.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Jobvite connection.
Changes in Amazon Aurora or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Jobvite data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Jobvite record.
Track your Amazon Aurora ⇄ Jobvite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Jobvite.
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 Amazon Aurora 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.
Pick the Amazon Aurora 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.
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 Amazon Aurora and Jobvite: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Primary and Foreign Keys and Read Replicas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Jobvite connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Jobvite integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Jobvite. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Jobvite: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Aurora side: Tables, Views, Materialized Views, Columns and Data Types, plus custom fields where Amazon Aurora exposes them. On the Jobvite side: Candidate, Requisition (Job), Application, Workflow Status. 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.
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.
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Every pair below is a real-time, two-way sync. Search all 434 integrations available for Amazon Aurora and Jobvite.