Two-way sync
Changes in Apollo.io or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io 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.
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 DuckDB, where it can be queried and joined like everything else.
Stacksync mirrors Sequences, Deals (Opportunities), Tasks and calls, Custom fields from Apollo.io into Attached databases, Database files, Schemas, Tables in DuckDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Apollo.io 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.
Accounts, contacts, and custom objects from Apollo.io become tables in DuckDB you can join with application data directly.
Signup, usage, or lifecycle changes written to DuckDB sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
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.
| Apollo.io objects | DuckDB objects | |
|---|---|---|
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Attached databases Additional database files or external systems attached into one session for cross-source queries. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Schemas Namespaces within a database used to organize tables in sync outputs. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Tables Columnar tables created via SQL; the destination for materialized sync data. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Views SQL views used to shape or filter data for downstream consumers. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–DuckDB connection.
Changes in Apollo.io or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or DuckDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apollo.io or DuckDB record.
Track your Apollo.io ⇄ DuckDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and DuckDB.
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.
Authenticate Apollo.io 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.
Pick the Apollo.io 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apollo.io and DuckDB: authenticate both systems, choose the objects to sync (such as Apollo.io's Tasks and calls and Custom fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apollo.io side: Sequences, Deals (Opportunities), Tasks and calls, Custom fields, plus custom fields where Apollo.io exposes them. On the DuckDB side: Attached databases, Database files, Schemas, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Apollo.io and DuckDB: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Apollo.io become tables in DuckDB you can join with application data directly.
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. 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.
Apollo.io: The API exposes both prospecting search endpoints and CRM-style CRUD endpoints for contacts, accounts, and deals. DuckDB: It queries Parquet, CSV, and JSON files directly without importing them, which makes file-based exchange a natural sync pattern. Stacksync's field mapping accounts for these differences between Apollo.io and DuckDB without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apollo.io and DuckDB.