Two-way sync
Changes in MariaDB or Vitally instantly reflect in both systems. No stale data, no manual imports.
Keep MariaDB and Vitally in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in MariaDB, where it can be queried and joined like everything else.
Stacksync mirrors Custom Trait, Account, User, Organization from Vitally into Databases (Schemas), Tables, Views, Columns in MariaDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Accounts, contacts, and custom objects from Vitally become tables in MariaDB you can join with application data directly.
Signup, usage, or lifecycle changes written to MariaDB sync onto the matching records in Vitally, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.
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.
| MariaDB objects | Vitally objects | How this pairing syncs | |
|---|---|---|---|
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Note Account and user notes captured by success teams. | Databases (Schemas) is specific to MariaDB and Note to Vitally — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map to records in connected systems. | Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. | Tables is specific to MariaDB and Conversation to Vitally — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | NPS Response NPS survey responses for account-health reporting. | Views is specific to MariaDB and NPS Response to Vitally — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | Custom Trait Custom account and user traits for segmentation. | Columns is specific to MariaDB and Custom Trait to Vitally — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. | Primary and Unique Keys is specific to MariaDB and Account to Vitally — each maps to any object or custom field on the other side. | |
| System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | User End users tied to accounts, including activity and custom traits. | System-Versioned Tables is specific to MariaDB and User to Vitally — 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 MariaDB 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.
DeliveryEach detected change is written to Vitally through its API, with automatic retries and rate-limit backoff.
DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.
DeliveryEach detected change is applied to MariaDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Vitally connection.
Changes in MariaDB or Vitally instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MariaDB or Vitally data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MariaDB or Vitally record.
Track your MariaDB ⇄ Vitally sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MariaDB and Vitally.
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 MariaDB and Vitally 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 MariaDB and Vitally 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 MariaDB and Vitally: authenticate both systems, choose the objects to sync (such as MariaDB's Databases (Schemas) and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both MariaDB and Vitally. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. On Vitally: Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Vitally side: Custom Trait, Account, User, Organization, plus custom fields where Vitally exposes them. On the MariaDB side: Databases (Schemas), Tables, Views, Columns. 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.
Common patterns for MariaDB and Vitally: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Vitally become tables in MariaDB you can join with application data directly.
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 390 integrations available for MariaDB and Vitally.