Two-way sync
Changes in Couchbase or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Keep Couchbase and DealCloud 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 Couchbase, where it can be queried and joined like everything else.
Stacksync mirrors Deal, Company, Contact, Fund from DealCloud into JSON Documents, Global Secondary Indexes, XDCR replications, Full-text search indexes in Couchbase with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in DealCloud 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.
Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.
Field and stage updates in DealCloud arrive as row changes in Couchbase, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from DealCloud become tables in Couchbase you can join with application data directly.
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.
| Couchbase objects | DealCloud objects | How this pairing syncs | |
|---|---|---|---|
| Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Company Synced with incremental and full sync. | Global Secondary Indexes is specific to Couchbase and Company to DealCloud — each maps to any object or custom field on the other side. | |
| XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Contact Synced with incremental and full sync. | XDCR replications is specific to Couchbase and Contact to DealCloud — each maps to any object or custom field on the other side. | |
| Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Fund Synced with incremental and full sync. | Full-text search indexes is specific to Couchbase and Fund to DealCloud — each maps to any object or custom field on the other side. | |
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Investment Synced with incremental and full sync. | Buckets is specific to Couchbase and Investment to DealCloud — each maps to any object or custom field on the other side. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Relationship Synced with incremental and full sync. | Scopes is specific to Couchbase and Relationship to DealCloud — each maps to any object or custom field on the other side. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Activity Synced with incremental and full sync. | Collections is specific to Couchbase and Activity to DealCloud — 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 Couchbase are captured at the source via change data capture — no polling loop against its API. Database Change Protocol (DCP) streams document mutations.
DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.
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 applied to Couchbase as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–DealCloud connection.
Changes in Couchbase or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Couchbase or DealCloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Couchbase or DealCloud record.
Track your Couchbase ⇄ DealCloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Couchbase and DealCloud.
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 Couchbase and DealCloud 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 Couchbase and DealCloud 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 Couchbase and DealCloud: authenticate both systems, choose the objects to sync (such as Couchbase's Global Secondary Indexes and XDCR replications), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Couchbase and DealCloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. On DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the DealCloud side: Deal, Company, Contact, Fund, plus custom fields where DealCloud exposes them. On the Couchbase side: JSON Documents, Global Secondary Indexes, XDCR replications, Full-text search indexes. 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 Couchbase and DealCloud: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.
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 Couchbase and DealCloud.