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CRM ⇄ Database

DealCloud to VoltDB integration — real-time, two-way sync

Keep DealCloud and VoltDB 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 VoltDB

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

Stacksync mirrors Deal, Company, Contact, Fund from DealCloud into Export Targets and Topics, Partitioned Tables, Replicated Tables, Stored Procedures in VoltDB 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 Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
  • 04 Push aggregates from VoltDB materialized views into dashboards or operational tools.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from DealCloud become tables in VoltDB you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to VoltDB 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.

What you can sync between DealCloud and VoltDB

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 VoltDB objects How this pairing syncs
Task Synced with incremental and full sync. Stored Procedures Precompiled transactional units that serve as the primary write interface. Task is specific to DealCloud and Stored Procedures to VoltDB — each maps to any object or custom field on the other side.
User Synced with incremental and full sync. Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. User is specific to DealCloud and Materialized Views to VoltDB — each maps to any object or custom field on the other side.
Deal Synced with incremental and full sync. Streams Insert-only constructs that feed the export subsystem with committed rows. Deal is specific to DealCloud and Streams to VoltDB — each maps to any object or custom field on the other side.
Company Synced with incremental and full sync. Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. Company is specific to DealCloud and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side.
Contact Synced with incremental and full sync. Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. Contact is specific to DealCloud and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side.
Fund Synced with incremental and full sync. Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. Fund is specific to DealCloud and Replicated Tables to VoltDB — each maps to any object or custom field on the other side.

How changes propagate between DealCloud and VoltDB

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

VoltDB DealCloud Interval-based propagation

DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.

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.
  • VoltDB: No API rate limits; throughput is bounded by partition count and cluster sizing.
What ships with DealCloud ⇄ VoltDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DealCloud or VoltDB 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 VoltDB record.

Observability

Monitoring

Track your DealCloud ⇄ VoltDB 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 VoltDB.

How the DealCloud and VoltDB 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.

VoltDB

Integration surface
SQL over JDBC plus native client libraries and an HTTP/JSON interface
Authentication
Database credentials
Change detection
Export streams and topics push committed changes to configured targets; otherwise polling
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works

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

    Choose tables

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

DealCloud and VoltDB 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 VoltDB.

Popular · 8 of 392
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