Two-way sync
Changes in Apache Pinot or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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 Pinot continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Pinot can also be written back into fields in Gainsight where the tool can use them.
Segments, scores, or reference values computed in Apache Pinot sync back onto records in Gainsight, putting analysis where the work happens.
A continuously synced copy in Apache Pinot preserves a queryable record even as data ages out of Gainsight or gets changed inside it.
Records and events from Gainsight land in Apache Pinot as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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 Pinot objects | Gainsight objects | How this pairing syncs | |
|---|---|---|---|
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | Tables is specific to Apache Pinot and Task and Playbook to Gainsight — each maps to any object or custom field on the other side. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | Schemas is specific to Apache Pinot and Custom Objects to Gainsight — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. | Segments is specific to Apache Pinot and Company to Gainsight — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Person (People) Contacts associated to companies through the Company Person junction; synced two-way with CRM contacts and warehouse person records. | Real-time Tables is specific to Apache Pinot and Person (People) to Gainsight — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | 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. | Offline Tables is specific to Apache Pinot and Relationship to Gainsight — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | 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. | Indexes is specific to Apache Pinot and CTA (Call to Action) 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 Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
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 Pinot 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 Pinot–Gainsight connection.
Changes in Apache Pinot or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot 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 Pinot or Gainsight record.
Track your Apache Pinot ⇄ Gainsight sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot 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 Pinot 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 Pinot 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 Pinot and Gainsight: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Pinot and Gainsight: Where Gainsight accepts updates: operational write-back; History that outlives the tool; Analytics on Gainsight's data. Segments, scores, or reference values computed in Apache Pinot sync back onto records in Gainsight, putting analysis where the work happens.
Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. 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: Objects are typed STANDARD (Company, Person, Relationship), CUSTOM (__gc suffix), or SYSTEM; the Describe API reports which fields are createable, updateable, filterable, and sortable. Apache Pinot: Pinot separates offline and real-time tables and merges them at query time through the broker, so one logical table can span batch history and fresh stream data. Stacksync's field mapping accounts for these differences between Apache Pinot and Gainsight without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Pinot and Gainsight records are not retained after a sync operation.
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 442 integrations available for Apache Pinot and Gainsight.