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Data warehouse ⇄ CRM

Actian Vector to DealCloud integration — real-time, two-way sync

Keep Actian Vector and DealCloud 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 Actian Vector and DealCloud

Sync DealCloud into Actian Vector continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Deal, Company, Contact, Fund from DealCloud land in Actian Vector as live tables, updated within seconds, and columns computed in Actian Vector write back to fields in DealCloud. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Keep DealCloud contacts and relationships in sync with an enrichment or email platform to maintain accurate firm-wide relationship intelligence.
  • 02 Mirror DealCloud activities and tasks into an operational database to power internal dashboards without hitting the API on every read.
  • 03 Consolidate data from several source systems into one Vector database for BI dashboards.
  • 04 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from DealCloud are queryable in Actian Vector moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Actian Vector appear as fields in DealCloud, where the people working accounts actually see them.

A single customer view

Join DealCloud's relationship data with billing, product, and support data in Actian Vector to build the customer picture the CRM alone cannot hold.

What you can sync between Actian Vector and DealCloud

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.

Actian Vector objects DealCloud objects How this pairing syncs
Databases Top-level containers targeted by a sync connection. Fund Synced with incremental and full sync. Databases is specific to Actian Vector and Fund to DealCloud — each maps to any object or custom field on the other side.
Schemas Namespaces used to organize synced tables. Investment Synced with incremental and full sync. Schemas is specific to Actian Vector and Investment to DealCloud — each maps to any object or custom field on the other side.
Tables Columnar tables that serve as sync sources or destinations. Relationship Synced with incremental and full sync. Tables is specific to Actian Vector and Relationship to DealCloud — each maps to any object or custom field on the other side.
Views SQL views readable as query-backed sync sources. Activity Synced with incremental and full sync. Views is specific to Actian Vector and Activity to DealCloud — each maps to any object or custom field on the other side.
Columns Typed columns mapped field-by-field during schema mapping. Task Synced with incremental and full sync. Columns is specific to Actian Vector and Task to DealCloud — each maps to any object or custom field on the other side.
Users and Roles Database principals used to grant the sync connection least-privilege access. User Synced with incremental and full sync. Users and Roles is specific to Actian Vector and User to DealCloud — each maps to any object or custom field on the other side.

How changes propagate between Actian Vector and DealCloud

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.

Actian Vector DealCloud Interval-based propagation

DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.

DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.

DealCloud Actian Vector 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 Actian Vector as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
  • DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
What ships with Actian Vector ⇄ DealCloud

Connect Actian Vector and DealCloud for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Actian Vector or DealCloud 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 Actian Vector or DealCloud record.

Observability

Monitoring

Track your Actian Vector ⇄ DealCloud sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Actian Vector and DealCloud.

How the Actian Vector and DealCloud connectors work

Actian Vector

Integration surface
SQL over JDBC/ODBC
Authentication
Database credentials
Change detection
Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
Capabilities
read · write
Rate limits
No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency

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.
How it works

How to connect Actian Vector to DealCloud — 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 Actian Vector and DealCloud 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
    Actian Vector connected
    DealCloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Actian Vector and DealCloud 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 · Actian Vector ⇄ DealCloud
    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
    Actian Vector DealCloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Actian Vector and DealCloud 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 Actian Vector and DealCloud.

Popular · 8 of 392
All Actian Vector integrations All DealCloud integrations Browse all integrations
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