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CRM ⇄ Database

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

Keep DealCloud and MarkLogic 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 DealCloud and MarkLogic

Treat DealCloud like part of your database: its records live in MarkLogic 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 MarkLogic, where it can be queried and joined like everything else.

Stacksync mirrors Activity, Task, User, Deal from DealCloud into Document Metadata & Properties, Databases & Forests, Users & Roles, Documents in MarkLogic 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 Write updates from operational systems back into the document hub to keep the canonical record current.
  • 04 Keep reference datasets and semantically linked entities aligned across downstream applications.

Common sync patterns

Product events onto CRM records

Signup, usage, or lifecycle changes written to MarkLogic sync onto the matching records in DealCloud, giving go-to-market teams live product context.

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 MarkLogic, ready to drive jobs and notifications.

What you can sync between DealCloud and MarkLogic

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 MarkLogic objects How this pairing syncs
Deal Synced with incremental and full sync. Collections Named groupings used to scope which documents a sync reads or updates. Deal is specific to DealCloud and Collections to MarkLogic — each maps to any object or custom field on the other side.
Company Synced with incremental and full sync. Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. Company is specific to DealCloud and Semantic Triples to MarkLogic — each maps to any object or custom field on the other side.
Contact Synced with incremental and full sync. TDE Views Relational projections of documents that let syncs read document data as SQL rows. Contact is specific to DealCloud and TDE Views to MarkLogic — each maps to any object or custom field on the other side.
Fund Synced with incremental and full sync. Document Metadata & Properties Permissions, quality, and property fragments carried with each document. Fund is specific to DealCloud and Document Metadata & Properties to MarkLogic — each maps to any object or custom field on the other side.
Investment Synced with incremental and full sync. Databases & Forests Storage units that define the scope and placement of synced content. Investment is specific to DealCloud and Databases & Forests to MarkLogic — each maps to any object or custom field on the other side.
Relationship Synced with incremental and full sync. Users & Roles Security principals that govern what an integration credential can read or write. Relationship is specific to DealCloud and Users & Roles to MarkLogic — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and MarkLogic

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.

DealCloud MarkLogic 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 MarkLogic as a row-level write, with types converted between the two schemas.

MarkLogic DealCloud Interval-based propagation

DetectionStacksync polls MarkLogic for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction log.

DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
What ships with DealCloud ⇄ MarkLogic

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or MarkLogic 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 DealCloud or MarkLogic record.

Observability

Monitoring

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

Trading partners

EDI

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

How the DealCloud and MarkLogic connectors work

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.

MarkLogic

Integration surface
REST API (Client API), plus SQL/ODBC access over TDE views and Java/Node client libraries
Authentication
Username/password (digest or basic), with certificate-based options
Change detection
No exposed transaction log; polling on document timestamps/metadata, or server-side triggers that record changes for pickup
Capabilities
read · write
How it works

How to connect DealCloud to MarkLogic — 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 DealCloud and MarkLogic 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
    DealCloud connected
    MarkLogic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DealCloud and MarkLogic 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 · DealCloud ⇄ MarkLogic
    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
    DealCloud MarkLogic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DealCloud and MarkLogic 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

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

Popular · 8 of 392
All DealCloud integrations All MarkLogic integrations Browse all integrations
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