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CRM ⇄ Data warehouse

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

Keep DealCloud and Greenplum 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
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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect DealCloud and Greenplum

Sync DealCloud into Greenplum continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Task, User, Deal, Company from DealCloud land in Greenplum as live tables, updated within seconds, and columns computed in Greenplum write back to fields in DealCloud. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Mirror DealCloud activities and tasks into an operational database to power internal dashboards without hitting the API on every read.
  • 02 Push portfolio and fund performance data from a warehouse into DealCloud so dealmakers see up-to-date metrics on each investment.
  • 03 Publish segments, scores, and aggregates computed in Greenplum back into business tools where teams act on them.
  • 04 Keep Greenplum and a cloud warehouse in sync during a migration so both platforms serve consistent data.

Common sync patterns

A single customer view

Join DealCloud's relationship data with billing, product, and support data in Greenplum to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Greenplum can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from DealCloud are queryable in Greenplum moments after they change, so dashboards stop lagging the reality they describe.

What you can sync between DealCloud and Greenplum

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 Greenplum objects How this pairing syncs
Investment Synced with incremental and full sync. Schemas Namespace tables and control which objects a sync can see. Investment is specific to DealCloud and Schemas to Greenplum — each maps to any object or custom field on the other side.
Relationship Synced with incremental and full sync. Tables Heap or append-optimized tables mapped directly to sync targets. Relationship is specific to DealCloud and Tables to Greenplum — each maps to any object or custom field on the other side.
Activity Synced with incremental and full sync. Partitions Large tables are commonly partitioned by date, which shapes incremental reads. Activity is specific to DealCloud and Partitions to Greenplum — each maps to any object or custom field on the other side.
Task Synced with incremental and full sync. Views Read-only projections used to shape data before syncing it out. Task is specific to DealCloud and Views to Greenplum — each maps to any object or custom field on the other side.
User Synced with incremental and full sync. External tables Reference external files for bulk load paths alongside row-level syncs. User is specific to DealCloud and External tables to Greenplum — each maps to any object or custom field on the other side.
Deal Synced with incremental and full sync. Rows Read and written by key; distribution keys determine where rows live. Deal is specific to DealCloud and Rows to Greenplum — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and Greenplum

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

Greenplum DealCloud Interval-based propagation

DetectionStacksync polls Greenplum for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.

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.
  • Greenplum: Bounded by cluster resources and concurrency settings rather than an API quota.
What ships with DealCloud ⇄ Greenplum

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or Greenplum 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 Greenplum record.

Observability

Monitoring

Track your DealCloud ⇄ Greenplum 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 Greenplum.

How the DealCloud and Greenplum 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.

Greenplum

Integration surface
PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers
Authentication
Database credentials
Change detection
Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC
Capabilities
read · write
Rate limits
Bounded by cluster resources and concurrency settings rather than an API quota.
How it works

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

    Choose tables

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

DealCloud and Greenplum 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 Greenplum.

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