Real-time
Two-way sync
Changes in Actian Vector or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Actian Vector to Apollo.io integration — real-time, two-way sync
Keep Actian Vector and Apollo.io 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
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Actian Vector and Apollo.io
Sync Apollo.io into Actian Vector 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. Deals (Opportunities), Tasks and calls, Custom fields, Contacts from Apollo.io land in Actian Vector as live tables, updated within seconds, and columns computed in Actian Vector write back to fields in Apollo.io. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
- 02 Push CRM opportunity stages back into Apollo so reps see pipeline context while sequencing.
- 03 Consolidate data from several source systems into one Vector database for BI dashboards.
- 04 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
Common sync patterns
A single customer view
Join Apollo.io's relationship data with billing, product, and support data in Actian Vector to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in Actian Vector can be written back, so warehouse-side cleanup actually fixes the CRM.
CRM analytics on live data
Accounts, contacts, and activity from Apollo.io are queryable in Actian Vector moments after they change, so dashboards stop lagging the reality they describe.
What you can sync between Actian Vector and Apollo.io
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.
| Actian Vector objects | Apollo.io objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables. | Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Schemas is specific to Actian Vector and Contacts to Apollo.io — each maps to any object or custom field on the other side. | |
| Tables Columnar tables that serve as sync sources or destinations. | Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Tables is specific to Actian Vector and Accounts to Apollo.io — each maps to any object or custom field on the other side. | |
| Views SQL views readable as query-backed sync sources. | People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Views is specific to Actian Vector and People (database records) to Apollo.io — each maps to any object or custom field on the other side. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Columns is specific to Actian Vector and Sequences to Apollo.io — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Users and Roles is specific to Actian Vector and Deals (Opportunities) to Apollo.io — each maps to any object or custom field on the other side. | |
| Databases Top-level containers targeted by a sync connection. | Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Databases is specific to Actian Vector and Tasks and calls to Apollo.io — each maps to any object or custom field on the other side. |
How changes propagate between Actian Vector and Apollo.io
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.
Actian Vector Apollo.io Interval-based propagation
DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is written to Apollo.io through its API, with automatic retries and rate-limit backoff.
Apollo.io Actian Vector Interval-based propagation
DetectionStacksync polls Apollo.io for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at timestamps.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
- Apollo.io: Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls.
What ships with Actian Vector ⇄ Apollo.io
Connect Actian Vector and Apollo.io for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Apollo.io connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Apollo.io 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 Actian Vector or Apollo.io record.
Observability
Monitoring
Track your Actian Vector ⇄ Apollo.io sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and Apollo.io.
How the Actian Vector and Apollo.io connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
Apollo.io
- Integration surface
- REST API
- Authentication
- API key (passed in request headers); master keys unlock account-wide endpoints
- Change detection
- Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream
- Capabilities
- read · write
- Rate limits
- Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls
How it works
How to connect Actian Vector to Apollo.io — 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 Actian Vector and Apollo.io with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Actian Vector
connected
Apollo.io
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector and Apollo.io 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 · Actian Vector ⇄ Apollo.ioCustomers 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.
Actian Vector Apollo.ioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Apollo.io integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Apollo.io: authenticate both systems, choose the objects to sync (such as Actian Vector's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Actian Vector: Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers. On Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Apollo.io side: Deals (Opportunities), Tasks and calls, Custom fields, Contacts, plus custom fields where Apollo.io exposes them. On the Actian Vector side: Users and Roles, Databases, 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 Actian Vector and Apollo.io: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Apollo.io's relationship data with billing, product, and support data in Actian Vector to build the customer picture the CRM alone cannot hold.
-
Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Stacksync manages authentication, retries, and rate limits on both sides.
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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