Two-way sync
Changes in MySQL or Namely instantly reflect in both systems. No stale data, no manual imports.
Keep MySQL and Namely in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Namely is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. MySQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Job Titles, Job Tiers, Groups, Teams in Namely need to exist as queryable Stored Procedures, Triggers, Databases (Schemas), Tables in 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 Stored Procedures, Triggers, Databases (Schemas), Tables in MySQL with Job Titles, Job Tiers, Groups, Teams in Namely field by field, in real time. You decide which system owns which fields — Namely 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.
Values assembled or corrected in MySQL write onto the matching record in Namely where those fields are writable, keeping the people system enriched.
Records maintained in Namely land as queryable Stored Procedures, Triggers, Databases (Schemas), Tables in MySQL, 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.
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.
| MySQL objects | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Stored Procedures Server-side logic that can post-process synced rows. | Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. | Stored Procedures is specific to MySQL and Events to Namely — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. | Triggers is specific to MySQL and Profiles to Namely — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | Databases (Schemas) is specific to MySQL and Job Titles to Namely — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map to records in connected systems. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Tables is specific to MySQL and Job Tiers to Namely — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Views is specific to MySQL and Groups to Namely — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Columns is specific to MySQL and Teams to Namely — 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 MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
DeliveryEach detected change is written to Namely through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
DeliveryEach detected change is applied to MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MySQL–Namely connection.
Changes in MySQL or Namely instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MySQL or Namely data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MySQL or Namely record.
Track your MySQL ⇄ Namely sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MySQL and Namely.
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 MySQL and Namely 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 MySQL and Namely 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 MySQL and Namely: authenticate both systems, choose the objects to sync (such as MySQL's Stored Procedures and Triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
MySQL: INSERT ... ON DUPLICATE KEY UPDATE provides native upsert semantics for idempotent inbound writes. Namely: Reports return as instantly-updating JSON snapshots; the feed and report surfaces are read-oriented while Profiles, Job Titles, and Groups are read-write. Stacksync's field mapping accounts for these differences between MySQL and Namely without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means MySQL and Namely records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MySQL and Namely connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MySQL–Namely integration in-house.
Yes — Stacksync ships production-grade connectors for both MySQL and Namely. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). On Namely: No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 443 integrations available for MySQL and Namely.