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Data warehouse ⇄ CRM

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

Keep Apache Druid and Nutshell 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 Apache Druid and Nutshell

Sync Nutshell 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. Tags, Users, Leads, People from Nutshell land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid write back to fields in Nutshell. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Keep People and Companies consistent between Nutshell and email marketing or outreach tools.
  • Write subscription or product data from internal systems into Nutshell so reps see account context.
  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • Sync Druid query results into a warehouse to combine real-time aggregates with historical models.

CRM analytics on live data

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

A single customer view

Join Nutshell'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 Nutshell

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 Nutshell objects
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Users Rep records used to resolve ownership when syncing assignments
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Leads Nutshell's deal object; synced as the pipeline record linked to people and companies
Lookups Key-value mappings joined at query time, refreshable from external systems. People Individual contacts, kept consistent with marketing and outreach tools
Tasks Batch ingestion and compaction jobs monitored during data loads. Companies Account records that group people and leads for account-level syncs
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Activities Logged calls, meetings, and emails used for engagement reporting
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Tasks Rep to-dos mirrored into external work-management or reporting systems
What ships with Apache Druid ⇄ Nutshell

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or Nutshell 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 Nutshell record.

Observability

Monitoring

Track your Apache Druid ⇄ Nutshell 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 Nutshell.

How the Apache Druid and Nutshell 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

Nutshell

Integration surface
JSON-RPC API over HTTPS; a newer REST API is also offered
Authentication
HTTP Basic with account email and API key
Change detection
webhook subscriptions for record events, with polling as fallback
Capabilities
read · write · webhooks
Rate limits
subject to the platform's API rate limits
How it works

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

    Choose tables

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

Apache Druid and Nutshell 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
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GDPR
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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 Nutshell.

Popular · 8 of 386
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