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CRM ⇄ Data warehouse

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

Keep Apollo.io and StarRocks 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 StarRocks

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

  • Push CRM opportunity stages back into Apollo so reps see pipeline context while sequencing.
  • Land sequence enrollment status and outcomes in a warehouse for outbound performance reporting.
  • Serve customer-facing analytics from SaaS data synced into one analytical store
  • Consolidate several sources into StarRocks as the query layer while Stacksync handles movement

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in StarRocks 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 StarRocks to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

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

What you can sync between Apollo.io and StarRocks

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 StarRocks objects
Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior.
Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Materialized views Automatically maintained rollups used to accelerate queries on synced data.
Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. Views Logical views for shaping analytical reads.
Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. Partitions Time or range partitions that scope loads and retention.
Accounts Company records with firmographic attributes, matched to CRM accounts during sync. Columns Columnar storage with types mapped from source systems during sync.
People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. Databases Top-level namespaces addressed exactly as in MySQL clients.
What ships with Apollo.io ⇄ StarRocks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Apollo.io ⇄ StarRocks 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 StarRocks.

How the Apollo.io and StarRocks 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

StarRocks

Integration surface
MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Query-based polling when reading; StarRocks is most often the destination side of a sync
Capabilities
read · write
Rate limits
Ingestion throughput is bounded by cluster resources rather than API quotas
How it works

How to connect Apollo.io to StarRocks — 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 StarRocks 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
    StarRocks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apollo.io and StarRocks 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 ⇄ StarRocks
    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 StarRocks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apollo.io and StarRocks 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
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:

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 StarRocks.

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