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Data warehouse ⇄ CRM

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

Keep Apache Druid and Insightly 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Druid and Insightly

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

Common use cases

  • 01 Two-way sync of Insightly contacts and organizations with a marketing automation platform
  • 02 Replicate opportunities into Postgres or a warehouse so RevOps can report on pipeline with SQL
  • 03 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • 04 Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.

Common sync patterns

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 Insightly 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 Insightly, where the people working accounts actually see them.

What you can sync between Apache Druid and Insightly

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 Insightly objects How this pairing syncs
Tasks Batch ingestion and compaction jobs monitored during data loads. Tasks Activity records keep follow-ups consistent across systems. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Projects Delivery records created from won opportunities sync with PSA and task tools. Metrics is specific to Apache Druid and Projects to Insightly — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Events Calendar items sync for a complete activity timeline. Ingestion Supervisors is specific to Apache Druid and Events to Insightly — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Notes Free-text context attaches to synced records for downstream visibility. Lookups is specific to Apache Druid and Notes to Insightly — 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. Products Product catalog entries support line-item syncing on opportunities and quotes. Datasources is specific to Apache Druid and Products to Insightly — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Custom Fields Per-object custom fields carry enrichment and billing data written from external systems. Segments is specific to Apache Druid and Custom Fields to Insightly — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid and Insightly

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 Insightly 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 Insightly through its API, with automatic retries and rate-limit backoff.

Insightly Apache Druid Interval-based propagation

DetectionStacksync polls Insightly for changes on an incremental schedule, reading only records changed since the previous pass. Polling on record updated-date fields.

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.
  • Insightly: Daily API request caps vary by Insightly plan.
What ships with Apache Druid ⇄ Insightly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or Insightly 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 Insightly record.

Observability

Monitoring

Track your Apache Druid ⇄ Insightly 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 Insightly.

How the Apache Druid and Insightly 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

Insightly

Integration surface
REST API (versioned)
Authentication
API key sent via HTTP Basic authentication
Change detection
Polling on record updated-date fields
Capabilities
read · write
Rate limits
Daily API request caps vary by Insightly plan
How it works

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

    Choose tables

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

Apache Druid and Insightly integration FAQ

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.

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→ 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 450 integrations available for Apache Druid and Insightly.

Popular · 7 of 450
All Apache Druid integrations All Insightly integrations Browse all integrations
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