Two-way sync
Changes in Gladly or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Gladly and Yellowbrick in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Customer profiles, Conversations, Conversation items, Agents from Gladly land in Yellowbrick as live tables, updated within seconds, and columns computed in Yellowbrick write back to fields in Gladly. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Yellowbrick appear as fields in Gladly, where the people working accounts actually see them.
Join Gladly's relationship data with billing, product, and support data in Yellowbrick to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Yellowbrick can be written back, so warehouse-side cleanup actually fixes the CRM.
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.
| Gladly objects | Yellowbrick objects | |
|---|---|---|
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Databases Top-level containers for schemas and tables. | |
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Views Logical views used to shape reads for BI and downstream syncs. | |
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Users and Roles Access-control objects that govern what a sync service account can read and write. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Yellowbrick connection.
Changes in Gladly or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gladly or Yellowbrick data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gladly or Yellowbrick record.
Track your Gladly ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gladly and Yellowbrick.
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 Gladly and Yellowbrick 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 Gladly and Yellowbrick 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 Gladly and Yellowbrick: authenticate both systems, choose the objects to sync (such as Gladly's Topics and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Gladly and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gladly side: Customer profiles, Conversations, Conversation items, Agents, plus custom fields where Gladly exposes them. On the Yellowbrick side: Tables, Views, Users and Roles, Databases. 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 Gladly and Yellowbrick: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Yellowbrick appear as fields in Gladly, where the people working accounts actually see them.
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 386 integrations available for Gladly and Yellowbrick.