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CRM ⇄ Data warehouse

Apollo.io to Cloudera Data Platform integration — real-time, two-way sync

Keep Apollo.io and Cloudera Data Platform 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 Cloudera Data Platform

Sync Apollo.io into Cloudera Data Platform 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. Tasks and calls, Custom fields, Contacts, Accounts from Apollo.io land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform 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

  • Land sequence enrollment status and outcomes in a warehouse for outbound performance reporting.
  • Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
  • Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.

A single customer view

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

Cleanup that sticks

Deduplication and normalization done in Cloudera Data Platform 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 Cloudera Data Platform moments after they change, so dashboards stop lagging the reality they describe.

What you can sync between Apollo.io and Cloudera Data Platform

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 Cloudera Data Platform objects
Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented.
Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. Impala tables The same metastore tables served through Impala for lower-latency SQL reads.
Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. Kudu tables Storage engine tables that support row-level inserts, updates, and deletes.
Accounts Company records with firmographic attributes, matched to CRM accounts during sync. Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads.
People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. Views SQL views that can present curated, sync-ready projections of raw lake data.
Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads.
What ships with Apollo.io ⇄ Cloudera Data Platform

Connect Apollo.io and Cloudera Data Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apollo.io or Cloudera Data Platform 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 Cloudera Data Platform record.

Observability

Monitoring

Track your Apollo.io ⇄ Cloudera Data Platform 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 Cloudera Data Platform.

How the Apollo.io and Cloudera Data Platform 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

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits
How it works

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

    Choose tables

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

Apollo.io and Cloudera Data Platform 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.

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:

Related integrations

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

Popular · 8 of 386
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