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Data warehouse ⇄ Database

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

Keep Apache Druid and CockroachDB 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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Why teams connect Apache Druid and CockroachDB

Connect CockroachDB and Apache Druid with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want CockroachDB's rows in Apache Druid, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in CockroachDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in CockroachDB sync into Apache Druid in real time, and result tables in Apache Druid sync back into CockroachDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • Consolidate data from several SaaS tools into one distributed SQL store that survives zone failures.
  • Write application events from CockroachDB back to CRM fields to give go-to-market teams product context.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Apache Druid and keep CockroachDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from CockroachDB land in Apache Druid as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Apache Druid and CockroachDB

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 CockroachDB objects
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Schemas Namespaces within a database used to isolate synced tables from application tables.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases.
Lookups Key-value mappings joined at query time, refreshable from external systems. Views Read-only projections used as curated sync sources.
Tasks Batch ingestion and compaction jobs monitored during data loads. Indexes Secondary indexes that keep sync lookup queries fast on key columns.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Sequences ID generators that matter when writes originate from an external system.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Changefeeds Built-in CDC streams that emit row-level changes to external sinks.
What ships with Apache Druid ⇄ CockroachDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or CockroachDB 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 CockroachDB record.

Observability

Monitoring

Track your Apache Druid ⇄ CockroachDB 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 CockroachDB.

How the Apache Druid and CockroachDB 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

CockroachDB

Integration surface
SQL wire protocol (PostgreSQL-compatible)
Authentication
Database credentials with TLS; client certificates or SCRAM password auth
Change detection
CDC via changefeeds, which stream row-level changes; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits in the SaaS sense; throughput is bounded by cluster capacity
How it works

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

    Choose tables

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

Apache Druid and CockroachDB 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
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:

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 CockroachDB.

Popular · 8 of 386
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