Two-way sync
Changes in Apache Druid or Seismic instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and Seismic in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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. Digital Sales Rooms, Reporting Activities, Library Content, Content Versions from Seismic land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid write back to fields in Seismic. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Seismic are queryable in Apache Druid moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Apache Druid appear as fields in Seismic, where the people working accounts actually see them.
Join Seismic's relationship data with billing, product, and support data in Apache Druid to build the customer picture the CRM alone cannot hold.
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 | Seismic objects | How this pairing syncs | |
|---|---|---|---|
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. | Dimensions is specific to Apache Druid and User Groups to Seismic — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Teamsites Tenant-scoped workspace partitions organizing Library content, permissions, and config; scoped by teamSiteId on most content calls. | Metrics is specific to Apache Druid and Teamsites to Seismic — 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. | LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. | Ingestion Supervisors is specific to Apache Druid and LiveSend Links to Seismic — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. | Lookups is specific to Apache Druid and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. | Tasks is specific to Apache Druid and Reporting Activities to Seismic — 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. | Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. | Datasources is specific to Apache Druid and Library Content to Seismic — 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 Seismic through its API, with automatic retries and rate-limit backoff.
DetectionSeismic notifies Stacksync of record changes through webhook events. Webhooks for content, version, user, group, workflow, DSR, and LiveSend events.
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–Seismic connection.
Changes in Apache Druid or Seismic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Seismic 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 Seismic record.
Track your Apache Druid ⇄ Seismic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Seismic.
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 Seismic 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 Seismic 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 Seismic: authenticate both systems, choose the objects to sync (such as Apache Druid's Dimensions and Metrics), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Seismic: Webhooks for content, version, user, group, workflow, DSR, and LiveSend events; the Reporting API v2 is polled for batch historical extracts (ETL-oriented, not high-frequency). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Seismic side: Digital Sales Rooms, Reporting Activities, Library Content, Content Versions, plus custom fields where Seismic exposes them. On the Apache Druid side: Segments, Dimensions, Metrics, Ingestion Supervisors. 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 Seismic: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from Seismic are queryable in Apache Druid moments after they change, so dashboards stop lagging the reality they describe.
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. Seismic: REST Integration APIs and Reporting API v2. Authentication: OAuth 2.0 / OpenID Connect; Bearer token in the Authorization header, via Authorization Code (user context) or client-credentials app-only flows. Stacksync manages authentication, retries, and rate limits on both sides.
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 463 integrations available for Apache Druid and Seismic.