Real-time
Two-way sync
Changes in DealCloud or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
DealCloud to Dynamo DB integration — real-time, two-way sync
Keep DealCloud and Dynamo DB 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 Dynamo DB
Treat DealCloud like part of your database: its records live in Dynamo DB 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 Dynamo DB, where it can be queried and joined like everything else.
Stacksync mirrors Company, Contact, Fund, Investment from DealCloud into Tables, Items, Attributes, Partition and Sort Keys in Dynamo DB 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 Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.
- 04 Consolidate multi-region Global Tables data into a single reporting store.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in DealCloud arrive as row changes in Dynamo DB, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from DealCloud become tables in Dynamo DB you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Dynamo DB sync onto the matching records in DealCloud, giving go-to-market teams live product context.
What you can sync between DealCloud and Dynamo DB
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 | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Investment Synced with incremental and full sync. | Tables The top-level containers a sync targets; each table is addressed independently. | Investment is specific to DealCloud and Tables to Dynamo DB — each maps to any object or custom field on the other side. | |
| Relationship Synced with incremental and full sync. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Relationship is specific to DealCloud and Items to Dynamo DB — each maps to any object or custom field on the other side. | |
| Activity Synced with incremental and full sync. | Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Activity is specific to DealCloud and Attributes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Task Synced with incremental and full sync. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Task is specific to DealCloud and Partition and Sort Keys to Dynamo DB — each maps to any object or custom field on the other side. | |
| User Synced with incremental and full sync. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | User is specific to DealCloud and Global Secondary Indexes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Deal Synced with incremental and full sync. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Deal is specific to DealCloud and DynamoDB Streams to Dynamo DB — each maps to any object or custom field on the other side. |
How changes propagate between DealCloud and Dynamo DB
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 Dynamo DB 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 Dynamo DB as a row-level write, with types converted between the two schemas.
Dynamo DB DealCloud Sub-second propagation
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
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.
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
What ships with DealCloud ⇄ Dynamo DB
Connect DealCloud and Dynamo DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Dynamo DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DealCloud or Dynamo DB 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 Dynamo DB record.
Observability
Monitoring
Track your DealCloud ⇄ Dynamo DB 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 Dynamo DB.
How the DealCloud and Dynamo DB 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.
Dynamo DB
- Integration surface
- Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
- Authentication
- AWS IAM credentials with SigV4 request signing
- Change detection
- Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is governed by the table's provisioned or on-demand capacity mode
How it works
How to connect DealCloud to Dynamo DB — 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 Dynamo DB 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
Dynamo DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DealCloud and Dynamo DB 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 ⇄ Dynamo DBCustomers 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 Dynamo DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DealCloud and Dynamo DB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and Dynamo DB: authenticate both systems, choose the objects to sync (such as DealCloud's Investment and Relationship), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the DealCloud side: Company, Contact, Fund, Investment, plus custom fields where DealCloud exposes them. On the Dynamo DB side: Tables, Items, Attributes, Partition and Sort Keys. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for DealCloud and Dynamo DB: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in DealCloud arrive as row changes in Dynamo DB, ready to drive jobs and notifications.
-
DealCloud: 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. Dynamo DB: Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries. Authentication: AWS IAM credentials with SigV4 request signing. Stacksync manages authentication, retries, and rate limits on both sides.
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DealCloud: DealCloud's data model is fully configurable: each firm defines its own entry types (objects) and fields, so syncs map to a firm-specific schema rather than a fixed one. Dynamo DB: Queries are efficient only along key and index access paths; full-table scans are expensive, which makes stream-based sync preferable to polling. Stacksync's field mapping accounts for these differences between DealCloud and Dynamo DB without custom code.
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
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