Two-way sync
Changes in Cloudera Data Platform or Klaviyo instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Klaviyo 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 Klaviyo 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 Lists, Segments, Events, Metrics from Klaviyo into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Klaviyo where the tool can use them.
Combine Klaviyo's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Klaviyo, putting analysis where the work happens.
A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Klaviyo or gets changed inside it.
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.
| Cloudera Data Platform objects | Klaviyo objects | |
|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Tags Organizational labels on campaigns, flows, and lists support reporting rollups. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Profiles Person records with arbitrary custom properties are the target for CRM and warehouse-sourced attributes. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Lists Static audience memberships sync in from CRMs and forms for targeting. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Segments Dynamic audiences are readable so other tools can mirror who qualifies. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Metrics Event type definitions organize the activity stream used in segmentation and attribution. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Klaviyo connection.
Changes in Cloudera Data Platform or Klaviyo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Klaviyo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Klaviyo record.
Track your Cloudera Data Platform ⇄ Klaviyo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Klaviyo.
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 Cloudera Data Platform and Klaviyo 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 Cloudera Data Platform and Klaviyo 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 Cloudera Data Platform and Klaviyo: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Klaviyo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Klaviyo: Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Klaviyo side: Lists, Segments, Events, Metrics, plus custom fields where Klaviyo exposes them. On the Cloudera Data Platform side: Kudu tables, Iceberg tables, Views, Partitions. 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 Cloudera Data Platform and Klaviyo: Cross-tool reporting; Where Klaviyo accepts updates: operational write-back; History that outlives the tool. Combine Klaviyo's data with data from every other synced system to answer questions no single tool can.
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 386 integrations available for Cloudera Data Platform and Klaviyo.