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CRM ⇄ Data warehouse

Apollo.io to Firebolt integration — real-time, two-way sync

Keep Apollo.io and Firebolt 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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Why teams connect Apollo.io and Firebolt

Sync Apollo.io into Firebolt 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. Accounts, People (database records), Sequences, Deals (Opportunities) from Apollo.io land in Firebolt as live tables, updated within seconds, and columns computed in Firebolt 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

  • Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
  • Push CRM opportunity stages back into Apollo so reps see pipeline context while sequencing.
  • Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.
  • Sync aggregated results from Firebolt back to operational tools that need computed metrics (reverse ETL).

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Firebolt appear as fields in Apollo.io, where the people working accounts actually see them.

A single customer view

Join Apollo.io's relationship data with billing, product, and support data in Firebolt to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Firebolt can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Apollo.io and Firebolt

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 Firebolt objects
People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. External tables References to files in object storage used to stage bulk loads.
Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. Views Curated query surfaces commonly used as sources for reverse ETL.
Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically.
Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Engines Compute resources that must be running for a sync to read or write.
Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. Databases Logical containers holding the tables a sync targets.
Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. Tables Managed columnar tables written with SQL; the main sync destination.
What ships with Apollo.io ⇄ Firebolt

Connect Apollo.io and Firebolt for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Firebolt connection.

Real-time

Two-way sync

Changes in Apollo.io or Firebolt instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apollo.io or Firebolt 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 Apollo.io or Firebolt record.

Observability

Monitoring

Track your Apollo.io ⇄ Firebolt sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apollo.io and Firebolt.

How the Apollo.io and Firebolt connectors work

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

Firebolt

Integration surface
SQL over a REST API, with JDBC, Python, and Node.js SDKs
Authentication
Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
Change detection
Polling; Firebolt is an analytics destination and does not expose a change feed
Capabilities
read · write
Rate limits
No fixed request quota; throughput depends on the engine size attached to the workload
How it works

How to connect Apollo.io to Firebolt — 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.

  1. 01

    Connect your apps

    Authenticate Apollo.io and Firebolt with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apollo.io connected
    Firebolt connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apollo.io and Firebolt 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apollo.io ⇄ Firebolt
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apollo.io Firebolt
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apollo.io and Firebolt integration FAQ

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.

Learn more about security
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ISO 27001
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apollo.io and Firebolt.

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