Skip to content
Data warehouse ⇄ Business productivity

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

Keep Apache Druid and Gainsight 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Druid and Gainsight

Get the data locked inside Gainsight into Apache Druid as live tables, and send results back where Gainsight can use them, without writing a pipeline.

Whatever Gainsight is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs CTA (Call to Action), Scorecard Fact, Timeline Activity, Success Plan from Gainsight into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid can also be written back into fields in Gainsight where the tool can use them.

Common use cases

  • 01 Keep Relationship records aligned with a billing system or ERP so multi-product customers map to the correct contracts and invoices.
  • 02 Read Timeline Activities and Success Plan objectives into a reporting database for churn, QBR, and CSM-productivity dashboards.
  • 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

History that outlives the tool

A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Gainsight or gets changed inside it.

Analytics on Gainsight's data

Records and events from Gainsight land in Apache Druid as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Gainsight's data with data from every other synced system to answer questions no single tool can.

What you can sync between Apache Druid and Gainsight

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 Gainsight objects How this pairing syncs
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Relationship Sub-units within a company for multi-product or multi-team accounts; synced so each maps to the right contract in billing or an ERP. Segments is specific to Apache Druid and Relationship to Gainsight — 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. CTA (Call to Action) Risk and expansion alerts that drive CSM plays; often synced to ticketing or project tools so follow-up work is tracked where teams operate. Dimensions is specific to Apache Druid and CTA (Call to Action) to Gainsight — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. Metrics is specific to Apache Druid and Scorecard Fact to Gainsight — 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. Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. Ingestion Supervisors is specific to Apache Druid and Timeline Activity to Gainsight — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. Lookups is specific to Apache Druid and Success Plan to Gainsight — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. Tasks is specific to Apache Druid and Task and Playbook to Gainsight — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid and Gainsight

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

Gainsight Apache Druid Interval-based propagation

DetectionStacksync polls Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.

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.
  • Gainsight: Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
What ships with Apache Druid ⇄ Gainsight

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or Gainsight 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 Gainsight record.

Observability

Monitoring

Track your Apache Druid ⇄ Gainsight 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 Gainsight.

How the Apache Druid and Gainsight 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

Gainsight

Integration surface
REST APIs (per-object) and asynchronous Bulk REST API
Authentication
API access key passed in the 'accesskey' request header (non-expiring), generated by a Gainsight admin; M2M OAuth (Client ID/Secret) is also supported
Change detection
Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint
Capabilities
read · write
Rate limits
Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
How it works

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

    Choose tables

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

Apache Druid and Gainsight 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 445 integrations available for Apache Druid and Gainsight.

Popular · 7 of 445
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.