Real-time
Real-time sync
Changes in Aviato or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Aviato to MotherDuck integration — real-time data sync
Keep Aviato and MotherDuck 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Aviato and MotherDuck
Get the data locked inside Aviato into MotherDuck as live tables, and send results back where Aviato can use them, without writing a pipeline.
Aviato is a read-only source: Stacksync reads its data in real time and delivers it into MotherDuck, so MotherDuck always reflects the current state of Aviato — without exports, scripts, or schedulers.
Whatever Aviato is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Common use cases
- 01 Keep a warehouse table of tracked private companies refreshed on a schedule for downstream scoring and reporting
- 02 Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
- 03 Share curated, synced datasets with other teams through read-only database shares
- 04 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
Common sync patterns
Where Aviato accepts updates: operational write-back
Segments, scores, or reference values computed in MotherDuck sync back onto records in Aviato, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in MotherDuck preserves a queryable record even as data ages out of Aviato or gets changed inside it.
Analytics on Aviato's data
Records and events from Aviato land in MotherDuck as queryable tables, current within seconds and ready to join with the rest of the warehouse.
What you can sync between Aviato and MotherDuck
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.
| Aviato objects | MotherDuck objects | How this pairing syncs | |
|---|---|---|---|
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Acquisition / Exit Event is specific to Aviato and Databases to MotherDuck — each maps to any object or custom field on the other side. | |
| Company Private-company profiles with firmographics, sector tags, and status | Schemas Namespaces within a database used to organize synced tables. | Company is specific to Aviato and Schemas to MotherDuck — each maps to any object or custom field on the other side. | |
| Person Founder and employee profiles linked to current and past companies | Tables The main landing target for synced records and source for analysis. | Person is specific to Aviato and Tables to MotherDuck — each maps to any object or custom field on the other side. | |
| Funding Round Round-level records with stage, amount, date, and participating investors | Views Modeled projections used as outbound sync sources. | Funding Round is specific to Aviato and Views to MotherDuck — each maps to any object or custom field on the other side. | |
| Investor Funds and angels connected to the rounds and companies they back | Database Shares Read-only copies of a database shared with other users or teams. | Investor is specific to Aviato and Database Shares to MotherDuck — each maps to any object or custom field on the other side. | |
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Headcount Snapshot is specific to Aviato and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side. |
How changes propagate between Aviato and MotherDuck
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.
Aviato MotherDuck Interval-based propagation
DetectionStacksync polls Aviato for changes on an incremental schedule, reading only records changed since the previous pass. Polling-based: re-query tracked records on a schedule and diff against the last synced state.
DeliveryEach detected change is applied to MotherDuck as a row-level write, with types converted between the two schemas.
MotherDuck Aviato Interval-based propagation
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryAviato does not accept inbound record writes, so this direction carries requests rather than records: Aviato's output flows back as field updates on the originating MotherDuck records.
Rate-limit considerations
- Aviato: Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls.
- MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Aviato ⇄ MotherDuck
Connect Aviato and MotherDuck for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–MotherDuck connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aviato or MotherDuck 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 Aviato or MotherDuck record.
Observability
Monitoring
Track your Aviato ⇄ MotherDuck sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Aviato and MotherDuck.
How the Aviato and MotherDuck connectors work
Aviato
- Integration surface
- REST API returning JSON, with search/filter endpoints for querying company and people records
- Authentication
- API key passed on each request
- Change detection
- Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed
- Capabilities
- read
- Rate limits
- Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls
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
How it works
How to connect Aviato to MotherDuck — 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 Aviato and MotherDuck with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Aviato
connected
MotherDuck
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aviato and MotherDuck 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 · Aviato ⇄ MotherDuckCustomers 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.
Aviato MotherDuckCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and MotherDuck integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Aviato and MotherDuck — Aviato is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Aviato is a read-only source, so this integration runs one-way: Stacksync reads from Aviato in real time and delivers into MotherDuck. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Aviato and MotherDuck: Where Aviato accepts updates: operational write-back; History that outlives the tool; Analytics on Aviato's data. Segments, scores, or reference values computed in MotherDuck sync back onto records in Aviato, putting analysis where the work happens.
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Aviato: REST API returning JSON, with search/filter endpoints for querying company and people records. Authentication: API key passed on each request. 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Aviato: Aviato's data model centers on private-market entities — companies, the people behind them, and the funding events connecting them — rather than user-created business records. 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 Aviato and MotherDuck 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 Aviato and MotherDuck records are not retained after a sync operation.
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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