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Data warehouse ⇄ CRM

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

Keep Apache Druid 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Druid and Apollo.io

Sync Apollo.io into Apache Druid 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. People (database records), Sequences, Deals (Opportunities), Tasks and calls from Apollo.io land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid 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.
  • Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.

CRM analytics on live data

Accounts, contacts, and activity from Apollo.io are queryable in Apache Druid moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

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

What you can sync between Apache Druid 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.

Apache Druid objects Apollo.io objects
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Tasks and calls Rep activity records synced for activity reporting and coaching workflows.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields.
Lookups Key-value mappings joined at query time, refreshable from external systems. Accounts Company records with firmographic attributes, matched to CRM accounts during sync.
Tasks Batch ingestion and compaction jobs monitored during data loads. People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved.
What ships with Apache Druid ⇄ Apollo.io

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Apollo.io record.

Observability

Monitoring

Track your Apache Druid ⇄ 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 Apache Druid and Apollo.io.

How the Apache Druid and Apollo.io connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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.

  1. 01

    Connect your apps

    Authenticate Apache Druid 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.

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

    Choose tables

    Pick the Apache Druid 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Druid ⇄ Apollo.io
    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
    Apache Druid Apollo.io
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Apollo.io 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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→ 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 Apache Druid and Apollo.io.

Popular · 8 of 386
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