Two-way sync
Changes in Apollo.io or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and TimescaleDB 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 TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors Tasks and calls, Custom fields, Contacts, Accounts from Apollo.io into Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views in TimescaleDB 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.
Signup, usage, or lifecycle changes written to TimescaleDB 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.
Field and stage updates in Apollo.io arrive as row changes in TimescaleDB, ready to drive jobs and notifications.
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 | TimescaleDB objects | |
|---|---|---|
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Views Standard SQL views used to shape or filter data for consumers. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–TimescaleDB connection.
Changes in Apollo.io or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or TimescaleDB 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 TimescaleDB record.
Track your Apollo.io ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: 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.
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 TimescaleDB: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to TimescaleDB sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Apollo.io: Enrichment endpoints consume plan credits, so sync jobs that trigger enrichment have a cost dimension beyond rate limits. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Apollo.io and TimescaleDB without custom code.
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 Apollo.io and TimescaleDB records are not retained after a sync operation.
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 TimescaleDB.