Real-time
Two-way sync
Changes in DealCloud or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
DealCloud to InfluxDB integration — real-time, two-way sync
Keep DealCloud and InfluxDB 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 InfluxDB
Treat DealCloud like part of your database: its records live in InfluxDB 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 InfluxDB, where it can be queried and joined like everything else.
Stacksync mirrors Deal, Company, Contact, Fund from DealCloud into Fields, Retention policies, Organizations, Buckets / databases in InfluxDB 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 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 Replicate downsampled aggregates into a data warehouse for long-term BI beyond retention windows.
- 04 Feed alert-relevant thresholds and asset metadata from business systems into InfluxDB tags for richer queries.
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to InfluxDB 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 InfluxDB, ready to drive jobs and notifications.
What you can sync between DealCloud and InfluxDB
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 | InfluxDB objects | How this pairing syncs | |
|---|---|---|---|
| Deal Synced with incremental and full sync. | Measurements The table-like grouping for points, typically mapped to a synced dataset. | Deal is specific to DealCloud and Measurements to InfluxDB — each maps to any object or custom field on the other side. | |
| Company Synced with incremental and full sync. | Points Individual time-stamped records, the unit of write via line protocol. | Company is specific to DealCloud and Points to InfluxDB — each maps to any object or custom field on the other side. | |
| Contact Synced with incremental and full sync. | Tags Indexed key-value metadata used for filtering and as sync partition keys. | Contact is specific to DealCloud and Tags to InfluxDB — each maps to any object or custom field on the other side. | |
| Fund Synced with incremental and full sync. | Fields The unindexed numeric or string values carried by each point. | Fund is specific to DealCloud and Fields to InfluxDB — each maps to any object or custom field on the other side. | |
| Investment Synced with incremental and full sync. | Retention policies Automatic expiry rules that determine how long synced history remains queryable. | Investment is specific to DealCloud and Retention policies to InfluxDB — each maps to any object or custom field on the other side. | |
| Relationship Synced with incremental and full sync. | Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | Relationship is specific to DealCloud and Organizations to InfluxDB — each maps to any object or custom field on the other side. |
How changes propagate between DealCloud and InfluxDB
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 InfluxDB 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 InfluxDB as a row-level write, with types converted between the two schemas.
InfluxDB DealCloud Interval-based propagation
DetectionStacksync polls InfluxDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling with time-range queries.
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.
- InfluxDB: Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
What ships with DealCloud ⇄ InfluxDB
Connect DealCloud and InfluxDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–InfluxDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DealCloud or InfluxDB 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 InfluxDB record.
Observability
Monitoring
Track your DealCloud ⇄ InfluxDB 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 InfluxDB.
How the DealCloud and InfluxDB 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.
InfluxDB
- Integration surface
- REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
- Authentication
- API token
- Change detection
- Polling with time-range queries; data is timestamped, so incremental reads use time cursors
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
How it works
How to connect DealCloud to InfluxDB — 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.
- 01
Connect your apps
Authenticate DealCloud and InfluxDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DealCloud
connected
InfluxDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DealCloud and InfluxDB 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.
objects · DealCloud ⇄ InfluxDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
DealCloud InfluxDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DealCloud and InfluxDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and InfluxDB: authenticate both systems, choose the objects to sync (such as DealCloud's Deal and Company), map fields visually, and changes propagate both ways in milliseconds — no code required.
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DealCloud: DealCloud is Intapp's deal and relationship management platform, purpose-built for private capital markets (private equity, venture capital, investment banking, and advisory firms). InfluxDB: Every record is timestamped by design, which makes incremental extraction a natural time-range query rather than a CDC problem. Stacksync's field mapping accounts for these differences between DealCloud and InfluxDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means DealCloud and InfluxDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and InfluxDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–InfluxDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both DealCloud and InfluxDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. On InfluxDB: Polling with time-range queries; data is timestamped, so incremental reads use time cursors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 392 integrations available for DealCloud and InfluxDB.
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