Real-time
Two-way sync
Changes in Apache Druid or Folk CRM instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Apache Druid to Folk CRM integration — real-time, two-way sync
Keep Apache Druid and Folk CRM 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 Apache Druid and Folk CRM
Sync Folk CRM 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, Companies, Groups, Custom fields from Folk CRM land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid write back to fields in Folk CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Mirror folk groups into a reporting database to track pipeline and outreach coverage.
- 02 Keep folk and a billing or customer success tool aligned on company records as deals close.
- 03 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
- 04 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
Common sync patterns
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Apache Druid appear as fields in Folk CRM, where the people working accounts actually see them.
A single customer view
Join Folk CRM's relationship data with billing, product, and support data in Apache Druid to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in Apache Druid can be written back, so warehouse-side cleanup actually fixes the CRM.
What you can sync between Apache Druid and Folk CRM
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 | Folk CRM objects | How this pairing syncs | |
|---|---|---|---|
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Notes Free-text context attached to people and companies, readable for reporting. | Ingestion Supervisors is specific to Apache Druid and Notes to Folk CRM — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Reminders Follow-up items that can be created from external triggers. | Lookups is specific to Apache Druid and Reminders to Folk CRM — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | People Contact records; the primary entity synced with outreach and enrichment tools. | Tasks is specific to Apache Druid and People to Folk CRM — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Companies Organization records linked to people and kept aligned with billing or CS systems. | Datasources is specific to Apache Druid and Companies to Folk CRM — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Groups Shared workspaces that organize contacts; group membership is often the field integrations act on. | Segments is specific to Apache Druid and Groups to Folk CRM — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Custom fields Group-scoped attributes that receive enriched or computed values from external systems. | Dimensions is specific to Apache Druid and Custom fields to Folk CRM — each maps to any object or custom field on the other side. |
How changes propagate between Apache Druid and Folk CRM
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Apache Druid Folk CRM Interval-based propagation
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
DeliveryEach detected change is written to Folk CRM through its API, with automatic retries and rate-limit backoff.
Folk CRM Apache Druid Sub-second propagation
DetectionFolk CRM notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling of list endpoints as a fallback.
DeliveryEach detected change is applied to Apache Druid as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
- Folk CRM: Subject to the platform's API rate limits.
What ships with Apache Druid ⇄ Folk CRM
Connect Apache Druid and Folk CRM for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Folk CRM connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Druid or Folk CRM 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 Folk CRM record.
Observability
Monitoring
Track your Apache Druid ⇄ Folk CRM 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 Folk CRM.
How the Apache Druid and Folk CRM 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
Folk CRM
- Integration surface
- REST API
- Authentication
- API key (Bearer token)
- Change detection
- Webhook subscriptions for record events, with polling of list endpoints as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Apache Druid to Folk CRM — 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.
- 01
Connect your apps
Authenticate Apache Druid and Folk CRM with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Druid
connected
Folk CRM
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Druid and Folk CRM 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.
objects · Apache Druid ⇄ Folk CRMCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Druid Folk CRMCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Druid and Folk CRM integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Druid and Folk CRM: authenticate both systems, choose the objects to sync (such as Apache Druid's Ingestion Supervisors and Lookups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Druid and Folk CRM records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Druid and Folk CRM connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–Folk CRM integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Druid and Folk CRM. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Folk CRM: Webhook subscriptions for record events, with polling of list endpoints as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Folk CRM side: People, Companies, Groups, Custom fields, plus custom fields where Folk CRM exposes them. On the Apache Druid side: Ingestion Supervisors, Lookups, Tasks, Datasources. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams trust 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
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 352 integrations available for Apache Druid and Folk CRM.
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