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CRM ⇄ Database

DealCloud to IBM AS/400 integration — real-time, two-way sync

Keep DealCloud and IBM AS/400 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • 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 AS/400

Treat DealCloud like part of your database: its records live in IBM AS/400 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 AS/400, where it can be queried and joined like everything else.

Stacksync mirrors Activity, Task, User, Deal from DealCloud into Logical files (views), Members, Rows / records, Journals and journal receivers in IBM AS/400 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 Feed shipment and invoice data from the AS/400 into logistics and finance tools in near real time.
  • 04 Expose AS/400 order, inventory, and item master data to modern SaaS tools without rewriting green-screen applications.

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 IBM AS/400, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from DealCloud become tables in IBM AS/400 you can join with application data directly.

What you can sync between DealCloud and IBM AS/400

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 AS/400 objects How this pairing syncs
Activity Synced with incremental and full sync. Rows / records The unit of read and write, accessed via SQL or record-level access. Activity is specific to DealCloud and Rows / records to IBM AS/400 — each maps to any object or custom field on the other side.
Task Synced with incremental and full sync. Journals and journal receivers The change log that enables log-based CDC on journaled files. Task is specific to DealCloud and Journals and journal receivers to IBM AS/400 — each maps to any object or custom field on the other side.
User Synced with incremental and full sync. Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. User is specific to DealCloud and Data queues to IBM AS/400 — each maps to any object or custom field on the other side.
Deal Synced with incremental and full sync. Libraries The schema-equivalent containers that scope which files a sync reads. Deal is specific to DealCloud and Libraries to IBM AS/400 — each maps to any object or custom field on the other side.
Company Synced with incremental and full sync. Physical files (tables) The Db2 for i tables mapped directly to sync targets. Company is specific to DealCloud and Physical files (tables) to IBM AS/400 — each maps to any object or custom field on the other side.
Contact Synced with incremental and full sync. Logical files (views) Indexed or filtered views over physical files, usable as read sources. Contact is specific to DealCloud and Logical files (views) to IBM AS/400 — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and IBM AS/400

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 AS/400 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 AS/400 as a row-level write, with types converted between the two schemas.

IBM AS/400 DealCloud Sub-second propagation

DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.

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 AS/400: Bounded by system resources and subsystem configuration rather than an API quota.
What ships with DealCloud ⇄ IBM AS/400

Connect DealCloud and IBM AS/400 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–IBM AS/400 connection.

Real-time

Two-way sync

Changes in DealCloud or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or IBM AS/400 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 AS/400 record.

Observability

Monitoring

Track your DealCloud ⇄ IBM AS/400 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 AS/400.

How the DealCloud and IBM AS/400 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 AS/400

Integration surface
SQL over JDBC/ODBC to Db2 for i (for example the JTOpen/jt400 driver), alongside native record-level access
Authentication
IBM i user profile credentials (database credentials)
Change detection
Journal-based CDC by reading journal receivers on journaled files; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by system resources and subsystem configuration rather than an API quota.
How it works

How to connect DealCloud to IBM AS/400 — 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 AS/400 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 AS/400 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DealCloud and IBM AS/400 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 AS/400
    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 AS/400
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DealCloud and IBM AS/400 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
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ISO 27001
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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 AS/400.

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