Two-way sync
Changes in Apache Druid or Gainsight instantly reflect in both systems. No stale data, no manual imports.
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.
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.
A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Gainsight or gets changed inside it.
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.
Combine Gainsight's data with data from every other synced system to answer questions no single tool can.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Gainsight connection.
Changes in Apache Druid or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Gainsight data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Druid or Gainsight record.
Track your Apache Druid ⇄ Gainsight sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Gainsight.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Druid and Gainsight: authenticate both systems, choose the objects to sync (such as Apache Druid's Segments and Dimensions), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Gainsight side: CTA (Call to Action), Scorecard Fact, Timeline Activity, Success Plan, plus custom fields where Gainsight exposes them. On the Apache Druid side: Tasks, Datasources, Segments, Dimensions. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Apache Druid and Gainsight: History that outlives the tool; Analytics on Gainsight's data; Cross-tool reporting. A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Gainsight or gets changed inside it.
Apache Druid: 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. Gainsight: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Gainsight: Large backfills should use the asynchronous Bulk API (CSV insert/update), which is limited to 10 calls/hour and 100/day, rather than the synchronous per-object REST endpoints. Apache Druid: Streaming ingestion from Kafka or Kinesis is managed by supervisors designed to provide exactly-once ingestion semantics. Stacksync's field mapping accounts for these differences between Apache Druid and Gainsight without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 445 integrations available for Apache Druid and Gainsight.