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Data warehouse

Connect Apache Druid to any app with two-way sync.

Two-way sync Apache Druid across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Apache Druid.

These objects sync between Apache Druid and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Apache Druid exposes them.

Datasources
The table-like unit of storage and querying, the main target of reads and ingestion.
Segments
Time-partitioned immutable files that hold datasource data; ingestion produces them.
Dimensions
String and categorical columns used for filtering and grouping in synced queries.
Metrics
Numeric columns, often pre-aggregated at ingestion via rollup.
Ingestion Supervisors
Long-running specs that pull from streams like Kafka; the write path into Druid.
Lookups
Key-value mappings joined at query time, refreshable from external systems.
Tasks
Batch ingestion and compaction jobs monitored during data loads.
API surface

How Stacksync connects to Apache Druid.

The connector runs on Apache Druid's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Apache Druid

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

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

Real-time

Two-way sync

Changes in Apache Druid instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Apache Druid record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Apache Druid connector.

Druid is adopted by data engineering and platform teams that need sub-second analytics on streaming event data such as clickstreams, telemetry, and operational metrics, typically ingested from Kafka or Kinesis. It sits between the event stream and user-facing dashboards or analytics APIs, storing high-cardinality event history in time-partitioned, columnar segments. Its data gravity is that event history: once billions of rows of behavioral data live in Druid datasources, downstream reporting and applications depend on it.

  • Data engineering
  • Analytics engineering
  • Product analytics teams
  • Platform engineering

  1. Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.

  2. Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.

  3. Sync Druid query results into a warehouse to combine real-time aggregates with historical models.

  4. Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.

  5. Expose product telemetry stored in Druid to business tools without granting direct cluster access.

  6. Publish aggregated Metrics from Druid Datasources into an operational database so product usage numbers reach billing, CRM, or customer-facing dashboard systems on a schedule.

All Apache Druid integrations

Pick the system you need to keep in sync with Apache Druid. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 31

ERP · 24

Database · 17

Data warehouse · 10

Business productivity · 32

Accounting and finance · 13

How it works

Set up Apache Druid in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid connector FAQ

What can I sync with the Apache Druid connector?

Apache Druid's core objects — Datasources, Segments, Dimensions, Metrics and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Apache Druid?

Via REST API (SQL over HTTP and native JSON queries); JDBC via Avatica, authenticated with Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy. Changes are detected as follows — not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Apache Druid connector two-way?

Yes. Changes made in Apache Druid propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an Apache Druid integration take to set up?

Most Apache Druid integrations go live in minutes: authenticate Apache Druid and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Apache Druid data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Apache Druid data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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