Two-way sync
Changes in Gladly or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Gladly and Neo4j 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 Neo4j, where it can be queried and joined like everything else.
Stacksync mirrors Conversations, Conversation items, Agents, Topics from Gladly into Indexes & Constraints, Databases, Users & Roles, Nodes in Neo4j with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gladly 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 Gladly become tables in Neo4j you can join with application data directly.
Signup, usage, or lifecycle changes written to Neo4j sync onto the matching records in Gladly, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Gladly 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.
| Gladly objects | Neo4j objects | |
|---|---|---|
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Agents User records used to attribute work in CX analytics. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | |
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Users & Roles Security principals controlling what an integration credential can query or modify. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | |
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Relationships Typed, directed edges that carry the connections syncs exist to model. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Neo4j connection.
Changes in Gladly or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gladly or Neo4j 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 Neo4j record.
Track your Gladly ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gladly and Neo4j.
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 Neo4j 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 Neo4j 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 Neo4j: authenticate both systems, choose the objects to sync (such as Gladly's Conversation items and Agents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Neo4j: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Gladly become tables in Neo4j you can join with application data directly.
Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
Gladly: Customer profiles are built to merge external identifiers (email, phone, order numbers), which is what integrations key on when matching records from other systems. Neo4j: Neo4j uses a property graph model in which nodes and relationships both carry key-value properties, so edges hold data rather than just linking rows. Stacksync's field mapping accounts for these differences between Gladly and Neo4j 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 Gladly and Neo4j records are not retained after a sync operation.
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 Neo4j.