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CRM ⇄ Data warehouse

Affinity to Apache Druid integration — real-time, two-way sync

Keep Affinity and Apache Druid 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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  • 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 Affinity and Apache Druid

Sync Affinity 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. List Entries, Persons, Organizations, Opportunities from Affinity land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid write back to fields in Affinity. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Push enrichment data computed elsewhere into Affinity field values on list entries.
  • Keep introductions and relationship data from Affinity aligned with outreach tools used by the team.
  • Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.

Cleanup that sticks

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

CRM analytics on live data

Accounts, contacts, and activity from Affinity 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 Affinity, where the people working accounts actually see them.

What you can sync between Affinity and Apache Druid

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.

Affinity objects Apache Druid objects
Lists Pipelines (deal flow, fundraising, portfolio) that structure most Affinity data; syncs usually target a specific list. Metrics Numeric columns, often pre-aggregated at ingestion via rollup.
List Entries The membership of a person, organization, or opportunity on a list, carrying its list-specific fields. Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid.
Persons Contact records enriched with relationship intelligence, synced with CRMs and outreach tools. Lookups Key-value mappings joined at query time, refreshable from external systems.
Organizations Company records matched to accounts in other systems by domain. Tasks Batch ingestion and compaction jobs monitored during data loads.
Opportunities Deal records tracked on lists and synced with pipeline reporting. Datasources The table-like unit of storage and querying, the main target of reads and ingestion.
Field Values Custom field data, either global or scoped to a list, mapped field-by-field in syncs. Segments Time-partitioned immutable files that hold datasource data; ingestion produces them.
What ships with Affinity ⇄ Apache Druid

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Affinity or Apache Druid 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 Affinity or Apache Druid record.

Observability

Monitoring

Track your Affinity ⇄ Apache Druid sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Affinity and Apache Druid.

How the Affinity and Apache Druid connectors work

Affinity

Integration surface
REST API
Authentication
API key
Change detection
Webhook subscriptions for record events, supplemented by polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's published API rate limits

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
How it works

How to connect Affinity to Apache Druid — 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 Affinity and Apache Druid 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
    Affinity connected
    Apache Druid connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Affinity and Apache Druid 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 · Affinity ⇄ Apache Druid
    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
    Affinity Apache Druid
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Affinity and Apache Druid 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.

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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 Affinity and Apache Druid.

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