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Database ⇄ CRM

Couchbase to DealCloud integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Couchbase and DealCloud

Treat DealCloud like part of your database: its records live in Couchbase as real tables, and writes in either place sync to the other in seconds.

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.

Common use cases

  • 01 Push portfolio and fund performance data from a warehouse into DealCloud so dealmakers see up-to-date metrics on each investment.
  • 02 Keep DealCloud contacts and relationships in sync with an enrichment or email platform to maintain accurate firm-wide relationship intelligence.
  • 03 Two-way sync between Couchbase (serving application data) and a CRM so support and sales teams see live application state.
  • 04 Consolidate documents from multiple Couchbase clusters into a single analytical store.

Common sync patterns

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in DealCloud arrive as row changes in Couchbase, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from DealCloud become tables in Couchbase you can join with application data directly.

What you can sync between Couchbase and DealCloud

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.

How changes propagate between Couchbase and DealCloud

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.

Couchbase DealCloud Sub-second propagation

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.

DealCloud Couchbase Interval-based propagation

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.

Rate-limit considerations

  • Couchbase: Throughput is bounded by cluster sizing rather than API rate limits.
  • DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
What ships with Couchbase ⇄ DealCloud

Connect Couchbase and DealCloud for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–DealCloud connection.

Real-time

Two-way sync

Changes in Couchbase or DealCloud instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Couchbase or DealCloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Couchbase or DealCloud record.

Observability

Monitoring

Track your Couchbase ⇄ DealCloud sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Couchbase and DealCloud.

How the Couchbase and DealCloud connectors work

Couchbase

Integration surface
SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs
Authentication
Database credentials with role-based access control, typically over TLS
Change detection
Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by cluster sizing rather than API rate limits

DealCloud

Integration surface
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
Change detection
Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval
Capabilities
read · write
Rate limits
API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
How it works

How to connect Couchbase to DealCloud — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Couchbase connected
    DealCloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Couchbase ⇄ DealCloud
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Couchbase DealCloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Couchbase and DealCloud integration FAQ

SECURITY

Security teams trust Stacksync

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 392 integrations available for Couchbase and DealCloud.

Popular · 8 of 392
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