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CRM ⇄ Database

DealCloud to Oracle DB integration — real-time, two-way sync

Keep DealCloud and Oracle DB 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 Oracle DB

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

Stacksync mirrors Activity, Task, User, Deal from DealCloud into Views, Materialized views, Schemas, Sequences in Oracle DB 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 Keep legacy Oracle applications running while newer services read and write the same data through a synced copy.
  • 04 Write changes from SaaS apps back into Oracle so PL/SQL jobs and reports run on current data.

Common sync patterns

Query the CRM like a database

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

Product events onto CRM records

Signup, usage, or lifecycle changes written to Oracle DB 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.

What you can sync between DealCloud and Oracle DB

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 Oracle DB objects How this pairing syncs
Relationship Synced with incremental and full sync. Views Curated read-only projections exposed to downstream consumers Relationship is specific to DealCloud and Views to Oracle DB — each maps to any object or custom field on the other side.
Activity Synced with incremental and full sync. Materialized views Precomputed results occasionally used as stable replication sources Activity is specific to DealCloud and Materialized views to Oracle DB — each maps to any object or custom field on the other side.
Task Synced with incremental and full sync. Schemas Per-user namespaces that scope sync permissions and object visibility Task is specific to DealCloud and Schemas to Oracle DB — each maps to any object or custom field on the other side.
User Synced with incremental and full sync. Sequences Key generators to respect when external systems insert rows User is specific to DealCloud and Sequences to Oracle DB — each maps to any object or custom field on the other side.
Deal Synced with incremental and full sync. PL/SQL procedures and packages In-database logic that can consume or transform synced data Deal is specific to DealCloud and PL/SQL procedures and packages to Oracle DB — each maps to any object or custom field on the other side.
Company Synced with incremental and full sync. Partitions Physical subdivisions relevant when replicating high-volume tables Company is specific to DealCloud and Partitions to Oracle DB — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and Oracle DB

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

Oracle DB DealCloud Sub-second propagation

DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.

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.
  • Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with DealCloud ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or Oracle DB 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 Oracle DB record.

Observability

Monitoring

Track your DealCloud ⇄ Oracle DB 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 Oracle DB.

How the DealCloud and Oracle DB 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.

Oracle DB

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
Authentication
database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
Change detection
log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by database resources rather than API quotas
How it works

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

    Choose tables

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

DealCloud and Oracle DB 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 Oracle DB.

Popular · 8 of 392
All DealCloud integrations All Oracle DB integrations Browse all integrations
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