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CRM ⇄ Database

DealCloud to SAP ASE (Sybase) integration — real-time, two-way sync

Keep DealCloud and SAP ASE (Sybase) 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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Why teams connect DealCloud and SAP ASE (Sybase)

Treat DealCloud like part of your database: its records live in SAP ASE (Sybase) 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 SAP ASE (Sybase), where it can be queried and joined like everything else.

Stacksync mirrors User, Deal, Company, Contact from DealCloud into Databases and Schemas, Triggers, Indexes, Tables in SAP ASE (Sybase) 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 Expose customer and transaction data locked in ASE to CRM and reporting systems.
  • 04 Replicate ASE tables to Postgres or a warehouse so analytics run off the OLTP system.

Common sync patterns

Trigger workflows from CRM changes

Field and stage updates in DealCloud arrive as row changes in SAP ASE (Sybase), ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from DealCloud become tables in SAP ASE (Sybase) you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to SAP ASE (Sybase) sync onto the matching records in DealCloud, giving go-to-market teams live product context.

What you can sync between DealCloud and SAP ASE (Sybase)

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 SAP ASE (Sybase) objects How this pairing syncs
Fund Synced with incremental and full sync. Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. Fund is specific to DealCloud and Triggers to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Investment Synced with incremental and full sync. Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. Investment is specific to DealCloud and Indexes to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Relationship Synced with incremental and full sync. Tables The core sync unit; rows are read and written with standard SQL. Relationship is specific to DealCloud and Tables to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Activity Synced with incremental and full sync. Views Read-only projections used to shape data for extraction without touching base tables. Activity is specific to DealCloud and Views to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Task Synced with incremental and full sync. Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. Task is specific to DealCloud and Stored Procedures to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
User Synced with incremental and full sync. Databases and Schemas Namespaces that scope sync configuration and permissions. User is specific to DealCloud and Databases and Schemas to SAP ASE (Sybase) — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and SAP ASE (Sybase)

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 SAP ASE (Sybase) 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 SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.

SAP ASE (Sybase) DealCloud Interval-based propagation

DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.

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.
What ships with DealCloud ⇄ SAP ASE (Sybase)

Connect DealCloud and SAP ASE (Sybase) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–SAP ASE (Sybase) connection.

Real-time

Two-way sync

Changes in DealCloud or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or SAP ASE (Sybase) 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 SAP ASE (Sybase) record.

Observability

Monitoring

Track your DealCloud ⇄ SAP ASE (Sybase) 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 SAP ASE (Sybase).

How the DealCloud and SAP ASE (Sybase) 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.

SAP ASE (Sybase)

Integration surface
SQL over the TDS wire protocol; JDBC (jConnect) and ODBC drivers
Authentication
Database credentials (username/password), optionally backed by LDAP or Kerberos
Change detection
Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components
Capabilities
read · write
How it works

How to connect DealCloud to SAP ASE (Sybase) — 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 SAP ASE (Sybase) 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
    SAP ASE (Sybase) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DealCloud and SAP ASE (Sybase) 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 ⇄ SAP ASE (Sybase)
    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 SAP ASE (Sybase)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DealCloud and SAP ASE (Sybase) 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.

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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 SAP ASE (Sybase).

Popular · 8 of 392
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