Real-time
Real-time sync
Changes in Aviato or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Aviato to DuckDB integration — real-time data sync
Keep Aviato and DuckDB 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Aviato and DuckDB
Mirror Aviato's data into DuckDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Aviato is a read-only source: Stacksync reads its data in real time and delivers it into DuckDB, so DuckDB always reflects the current state of Aviato — without exports, scripts, or schedulers.
Engineers integrate with tools like Aviato through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in DuckDB.
Stacksync mirrors Acquisition / Exit Event, Company, Person, Funding Round from Aviato into Database files, Schemas, Tables, Views in DuckDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Aviato, so the tool and the database never disagree.
Common use cases
- Backfill missing firmographic fields on inbound leads by matching them to Aviato company profiles
- Enrich CRM accounts with Aviato firmographic data (sector, stage, headcount) so reps see current company context without manual research
- Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
- Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
React to changes as they happen
Updates in Aviato arrive as row changes in DuckDB, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Aviato with a query
Records from Aviato are ordinary rows in DuckDB; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Aviato and DuckDB
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 | DuckDB objects | |
|---|---|---|
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Schemas Namespaces within a database used to organize tables in sync outputs. | |
| Company Private-company profiles with firmographics, sector tags, and status | Tables Columnar tables created via SQL; the destination for materialized sync data. | |
| Person Founder and employee profiles linked to current and past companies | Views SQL views used to shape or filter data for downstream consumers. | |
| Funding Round Round-level records with stage, amount, date, and participating investors | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | |
| Investor Funds and angels connected to the rounds and companies they back | Attached databases Additional database files or external systems attached into one session for cross-source queries. | |
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. |
What ships with Aviato ⇄ DuckDB
Connect Aviato and DuckDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–DuckDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aviato or DuckDB 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 DuckDB record.
Observability
Monitoring
Track your Aviato ⇄ DuckDB 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 DuckDB.
How the Aviato and DuckDB 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
DuckDB
- Integration surface
- In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
- Authentication
- None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
- Change detection
- Polling or full re-reads; no change feed or transaction log API
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by local compute and I/O
How it works
How to connect Aviato to DuckDB — 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 DuckDB 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
DuckDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aviato and DuckDB 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 ⇄ DuckDBCustomers 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 DuckDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and DuckDB integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Aviato and DuckDB — 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 DuckDB. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Aviato and DuckDB: React to changes as they happen; One integration pattern for the whole stack; Read Aviato with a query. Updates in Aviato arrive as row changes in DuckDB, so triggers, jobs, and services can respond in near real time.
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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. DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). 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. DuckDB: Execution is columnar and vectorized, optimized for analytical scans rather than high-frequency transactional writes. Stacksync's field mapping accounts for these differences between Aviato and DuckDB 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 DuckDB records are not retained after a sync operation.
SECURITY
Security teams love 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 386 integrations available for Aviato and DuckDB.
Popular · 8 of 386
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Aviato ⇄ Firebase -
Aviato ⇄ SingleStore -
Aviato ⇄ Amazon Aurora -
Aviato ⇄ Amazon Lightsail -
DuckDB ⇄ Klaviyo -
DuckDB ⇄ Lemlist -
DuckDB ⇄ Lusha -
DuckDB ⇄ Microsoft 365
No integrations match .
