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CRM ⇄ Database

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

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

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Why teams connect DealCloud and IBM Informix

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

Stacksync mirrors Company, Contact, Fund, Investment from DealCloud into Rows, Views, TimeSeries objects, Stored procedures in IBM Informix 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 embedded or edge Informix instances aligned with a central operational database.
  • 04 Feed inventory and transaction data from legacy Informix applications into modern ERPs during migration.

Common sync patterns

Product events onto CRM records

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

What you can sync between DealCloud and IBM Informix

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 Informix objects How this pairing syncs
Activity Synced with incremental and full sync. Databases Top-level containers that scope a sync connection. Activity is specific to DealCloud and Databases to IBM Informix — each maps to any object or custom field on the other side.
Task Synced with incremental and full sync. Tables Relational tables mapped directly to sync targets. Task is specific to DealCloud and Tables to IBM Informix — each maps to any object or custom field on the other side.
User Synced with incremental and full sync. Rows The unit of read and write, keyed by primary key. User is specific to DealCloud and Rows to IBM Informix — each maps to any object or custom field on the other side.
Deal Synced with incremental and full sync. Views Read-only projections used to shape outbound data. Deal is specific to DealCloud and Views to IBM Informix — each maps to any object or custom field on the other side.
Company Synced with incremental and full sync. TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. Company is specific to DealCloud and TimeSeries objects to IBM Informix — each maps to any object or custom field on the other side.
Contact Synced with incremental and full sync. Stored procedures Server-side logic sometimes invoked as part of write paths. Contact is specific to DealCloud and Stored procedures to IBM Informix — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and IBM Informix

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

IBM Informix DealCloud Sub-second propagation

DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.

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 Informix: Bounded by server resources and session limits rather than an API quota.
What ships with DealCloud ⇄ IBM Informix

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or IBM Informix 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 Informix record.

Observability

Monitoring

Track your DealCloud ⇄ IBM Informix 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 Informix.

How the DealCloud and IBM Informix 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 Informix

Integration surface
SQL over JDBC/ODBC drivers; DRDA connectivity is also supported
Authentication
Database credentials
Change detection
Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by server resources and session limits rather than an API quota.
How it works

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

    Choose tables

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

DealCloud and IBM Informix 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 Informix.

Popular · 8 of 392
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