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CRM ⇄ Database

DealCloud to IBM Db2 integration — real-time, two-way sync

Keep DealCloud and IBM Db2 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 IBM Db2

Treat DealCloud like part of your database: its records live in IBM Db2 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 IBM Db2, where it can be queried and joined like everything else.

Stacksync mirrors Company, Contact, Fund, Investment from DealCloud into Views, Indexes, Stored Procedures, Sequences in IBM Db2 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 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 Keep reference and master data aligned between Db2 and newer cloud databases during modernization projects.
  • 04 Feed changes captured from Db2 logs into downstream event pipelines.

Common sync patterns

Product events onto CRM records

Signup, usage, or lifecycle changes written to IBM Db2 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 IBM Db2, ready to drive jobs and notifications.

What you can sync between DealCloud and IBM Db2

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 IBM Db2 objects How this pairing syncs
Deal Synced with incremental and full sync. Indexes Support fast key lookups on sync match columns. Deal is specific to DealCloud and Indexes to IBM Db2 — each maps to any object or custom field on the other side.
Company Synced with incremental and full sync. Stored Procedures Existing business logic sometimes invoked as part of write paths. Company is specific to DealCloud and Stored Procedures to IBM Db2 — each maps to any object or custom field on the other side.
Contact Synced with incremental and full sync. Sequences ID generation relevant when external systems insert rows. Contact is specific to DealCloud and Sequences to IBM Db2 — each maps to any object or custom field on the other side.
Fund Synced with incremental and full sync. Tablespaces Physical storage layout that operators consider when adding synced tables. Fund is specific to DealCloud and Tablespaces to IBM Db2 — each maps to any object or custom field on the other side.
Investment Synced with incremental and full sync. Databases The connection target; each database holds the schemas a sync addresses. Investment is specific to DealCloud and Databases to IBM Db2 — each maps to any object or custom field on the other side.
Relationship Synced with incremental and full sync. Schemas Namespaces separating synced data from application and system objects. Relationship is specific to DealCloud and Schemas to IBM Db2 — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and IBM Db2

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 IBM Db2 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 IBM Db2 as a row-level write, with types converted between the two schemas.

IBM Db2 DealCloud Sub-second propagation

DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.

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.
  • IBM Db2: No API rate limits; throughput is bounded by instance resources and workload management settings.
What ships with DealCloud ⇄ IBM Db2

Connect DealCloud and IBM Db2 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–IBM Db2 connection.

Real-time

Two-way sync

Changes in DealCloud or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or IBM Db2 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 IBM Db2 record.

Observability

Monitoring

Track your DealCloud ⇄ IBM Db2 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 IBM Db2.

How the DealCloud and IBM Db2 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.

IBM Db2

Integration surface
SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
Authentication
Database credentials, typically backed by OS or LDAP authentication
Change detection
Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by instance resources and workload management settings
How it works

How to connect DealCloud to IBM Db2 — 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 IBM Db2 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
    IBM Db2 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DealCloud and IBM Db2 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 ⇄ IBM Db2
    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 IBM Db2
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DealCloud and IBM Db2 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 IBM Db2.

Popular · 8 of 392
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