Two-way sync
Changes in DealCloud or Gladly instantly reflect in both systems. No stale data, no manual imports.
Keep DealCloud and Gladly in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two CRMs in one company is more common than anyone plans for: an acquisition brings its own system, regions or business units standardize differently, or a migration is under way and both are live. In every case, some of the same companies and people exist in both systems, and every day of manual double entry pushes the copies further apart.
Stacksync syncs User, Deal, Company, Contact in DealCloud with Tasks, Customer profiles, Conversations, Conversation items in Gladly in real time and in both directions, with field-level mapping and matching on identifiers you choose. Update a record in either CRM and the other reflects it within seconds.
Deal stage and value on shared accounts stay visible from either CRM.
Keep both CRMs accurate while the merged team decides on a target system, instead of freezing one and losing months of updates.
When one CRM is replacing the other, run both fully live until cutover, with no snapshot gap and no data freeze.
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.
| DealCloud objects | Gladly objects | How this pairing syncs | |
|---|---|---|---|
| Task Synced with incremental and full sync. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| User Synced with incremental and full sync. | Agents User records used to attribute work in CX analytics. | User is specific to DealCloud and Agents to Gladly — each maps to any object or custom field on the other side. | |
| Deal Synced with incremental and full sync. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Deal is specific to DealCloud and Topics to Gladly — each maps to any object or custom field on the other side. | |
| Company Synced with incremental and full sync. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Company is specific to DealCloud and Customer profiles to Gladly — each maps to any object or custom field on the other side. | |
| Contact Synced with incremental and full sync. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Contact is specific to DealCloud and Conversations to Gladly — each maps to any object or custom field on the other side. | |
| Fund Synced with incremental and full sync. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Fund is specific to DealCloud and Conversation items to Gladly — 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.
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is written to Gladly through its API, with automatic retries and rate-limit backoff.
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Gladly connection.
Changes in DealCloud or Gladly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DealCloud or Gladly data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DealCloud or Gladly record.
Track your DealCloud ⇄ Gladly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DealCloud and Gladly.
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 DealCloud and Gladly 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 DealCloud and Gladly 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 DealCloud and Gladly: authenticate both systems, choose the objects to sync (such as DealCloud's Task and User), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for DealCloud and Gladly: Where both track pipeline: deal visibility across systems; Post-acquisition consolidation; Migration with a parallel run. Deal stage and value on shared accounts stay visible from either CRM.
DealCloud: REST API (DealCloud Data API v2). Authentication: OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes. Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Stacksync manages authentication, retries, and rate limits on both sides.
DealCloud: DealCloud is Intapp's deal and relationship management platform, purpose-built for private capital markets (private equity, venture capital, investment banking, and advisory firms). 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. Stacksync's field mapping accounts for these differences between DealCloud and Gladly 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 DealCloud and Gladly records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and Gladly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–Gladly integration in-house.
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 392 integrations available for DealCloud and Gladly.