Real-time
Two-way sync
Changes in MotherDuck or Streak CRM instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
MotherDuck to Streak CRM integration — real-time, two-way sync
Keep MotherDuck and Streak CRM 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 MotherDuck and Streak CRM
Sync Streak CRM into MotherDuck 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. Boxes, Stages, Contacts, Organizations from Streak CRM land in MotherDuck as live tables, updated within seconds, and columns computed in MotherDuck write back to fields in Streak CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Sync Streak boxes into Postgres so operations can query pipeline data with SQL and back internal tools
- 02 Push deals and contacts into a warehouse to report on pipeline alongside product and billing data
- 03 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
- 04 Sync modeled MotherDuck tables outward to operational tools for activation
Common sync patterns
CRM analytics on live data
Accounts, contacts, and activity from Streak CRM are queryable in MotherDuck 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 MotherDuck appear as fields in Streak CRM, where the people working accounts actually see them.
A single customer view
Join Streak CRM's relationship data with billing, product, and support data in MotherDuck to build the customer picture the CRM alone cannot hold.
What you can sync between MotherDuck and Streak CRM
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.
| MotherDuck objects | Streak CRM objects | How this pairing syncs | |
|---|---|---|---|
| Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Pipelines Define the process and the custom field schema that boxes in them carry. | Databases is specific to MotherDuck and Pipelines to Streak CRM — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize synced tables. | Boxes The core record (a deal, hire, or project) tracked through pipeline stages. | Schemas is specific to MotherDuck and Boxes to Streak CRM — each maps to any object or custom field on the other side. | |
| Tables The main landing target for synced records and source for analysis. | Stages Pipeline steps whose transitions are the usual trigger for downstream syncs. | Tables is specific to MotherDuck and Stages to Streak CRM — each maps to any object or custom field on the other side. | |
| Views Modeled projections used as outbound sync sources. | Contacts People linked to boxes, synced with marketing and support tools. | Views is specific to MotherDuck and Contacts to Streak CRM — each maps to any object or custom field on the other side. | |
| Database Shares Read-only copies of a database shared with other users or teams. | Organizations Company records associated with contacts and boxes. | Database Shares is specific to MotherDuck and Organizations to Streak CRM — each maps to any object or custom field on the other side. | |
| Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Tasks To-dos attached to boxes for follow-up tracking. | Attached Local DuckDB Databases is specific to MotherDuck and Tasks to Streak CRM — each maps to any object or custom field on the other side. |
How changes propagate between MotherDuck and Streak CRM
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.
MotherDuck Streak CRM Interval-based propagation
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Streak CRM through its API, with automatic retries and rate-limit backoff.
Streak CRM MotherDuck Interval-based propagation
DetectionStacksync polls Streak CRM for changes on an incremental schedule, reading only records changed since the previous pass. Polling against pipeline, box, and contact endpoints.
DeliveryEach detected change is applied to MotherDuck as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
- Streak CRM: Subject to the platform's API rate limits; quotas are not prominently published.
What ships with MotherDuck ⇄ Streak CRM
Connect MotherDuck and Streak CRM for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–Streak CRM connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MotherDuck or Streak CRM 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 MotherDuck or Streak CRM record.
Observability
Monitoring
Track your MotherDuck ⇄ Streak CRM sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MotherDuck and Streak CRM.
How the MotherDuck and Streak CRM connectors work
MotherDuck
- Integration surface
- SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
- Authentication
- Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
- Change detection
- Polling; no log-based CDC or webhook surface is exposed
- Capabilities
- read · write
- Rate limits
- Subject to the platform's compute and concurrency limits rather than per-request API rate limits
Streak CRM
- Integration surface
- REST API
- Authentication
- API key issued per user
- Change detection
- Polling against pipeline, box, and contact endpoints; Streak's automations can send outbound webhooks on higher plans
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits; quotas are not prominently published
How it works
How to connect MotherDuck to Streak CRM — 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 MotherDuck and Streak CRM with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MotherDuck
connected
Streak CRM
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MotherDuck and Streak CRM 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 · MotherDuck ⇄ Streak CRMCustomers 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.
MotherDuck Streak CRMCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MotherDuck and Streak CRM integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MotherDuck and Streak CRM: authenticate both systems, choose the objects to sync (such as MotherDuck's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Streak CRM side: Boxes, Stages, Contacts, Organizations, plus custom fields where Streak CRM exposes them. On the MotherDuck side: Databases, Schemas, Tables, Views. 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 MotherDuck and Streak CRM: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from Streak CRM are queryable in MotherDuck moments after they change, so dashboards stop lagging the reality they describe.
-
MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. Streak CRM: REST API. Authentication: API key issued per user. Stacksync manages authentication, retries, and rate limits on both sides.
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Streak CRM: Streak runs inside Gmail as an extension, so its boxes link directly to email threads rather than to a standalone activity log. MotherDuck: MotherDuck is built on DuckDB, so integrations use DuckDB SQL and connect through standard DuckDB client libraries with an md: connection string. Stacksync's field mapping accounts for these differences between MotherDuck and Streak CRM 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
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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