Two-way sync
Changes in Apache Hive or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive 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 Hive continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Hive can also be written back into fields in Gainsight where the tool can use them.
Segments, scores, or reference values computed in Apache Hive sync back onto records in Gainsight, putting analysis where the work happens.
A continuously synced copy in Apache Hive preserves a queryable record even as data ages out of Gainsight or gets changed inside it.
Records and events from Gainsight land in Apache Hive 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 Hive objects | Gainsight objects | How this pairing syncs | |
|---|---|---|---|
| Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. | Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. | Partitions is specific to Apache Hive and Timeline Activity to Gainsight — each maps to any object or custom field on the other side. | |
| Views Logical views readable as modeled sources. | Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | Views is specific to Apache Hive and Success Plan to Gainsight — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | Materialized Views is specific to Apache Hive and Task and Playbook to Gainsight — each maps to any object or custom field on the other side. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | ACID Tables is specific to Apache Hive and Custom Objects to Gainsight — each maps to any object or custom field on the other side. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. | Metastore Catalog is specific to Apache Hive and Company to Gainsight — each maps to any object or custom field on the other side. | |
| Databases Metastore namespaces that scope tables and grants. | Person (People) Contacts associated to companies through the Company Person junction; synced two-way with CRM contacts and warehouse person records. | Databases is specific to Apache Hive and Person (People) 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 Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.
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 Hive 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 Hive–Gainsight connection.
Changes in Apache Hive or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive 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 Hive or Gainsight record.
Track your Apache Hive ⇄ Gainsight sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive 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 Hive 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 Hive 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 Hive and Gainsight: authenticate both systems, choose the objects to sync (such as Apache Hive's Partitions and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Apache Hive 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 Hive sync back onto records in Gainsight, putting analysis where the work happens.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. 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: There is no general change-event stream; near-real-time outbound is limited to Rules Engine Real-Time Rules configured per event topic, so continuous sync relies on ModifiedDate polling. Apache Hive: Hive is schema-on-read: tables are metadata over files in HDFS or object storage, so external tables can expose existing data without copying it. Stacksync's field mapping accounts for these differences between Apache Hive 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 Hive and Gainsight records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Hive and Gainsight connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Hive–Gainsight integration in-house.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 445 integrations available for Apache Hive and Gainsight.