Two-way sync
Changes in Braze or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Braze and Cloudera Data Platform 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 Braze 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 Subscription Groups, Content Blocks, Users, Custom Attributes from Braze 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 Braze where the tool can use them.
Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Braze, putting analysis where the work happens.
A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Braze or gets changed inside it.
Records and events from Braze land in Cloudera Data Platform 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.
| Braze objects | Cloudera Data Platform objects | |
|---|---|---|
| Segments Audience definitions read for membership export and campaign targeting. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Campaigns Message sends whose metadata and analytics are read for reporting. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Views SQL views that can present curated, sync-ready projections of raw lake data. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | |
| Content Blocks Reusable message content referenced across campaigns. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | |
| Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Cloudera Data Platform connection.
Changes in Braze or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Braze or Cloudera Data Platform data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Braze or Cloudera Data Platform record.
Track your Braze ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Braze and Cloudera Data Platform.
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 Braze and Cloudera Data Platform 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 Braze and Cloudera Data Platform 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 Braze and Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Braze's Segments and Campaigns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Stacksync manages authentication, retries, and rate limits on both sides.
Braze: Profiles can be addressed by external ID, Braze ID, or user aliases, and identity resolution across these matters when merging data from other systems. Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. Stacksync's field mapping accounts for these differences between Braze and Cloudera Data Platform 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 Braze and Cloudera Data Platform records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Braze and Cloudera Data Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Braze–Cloudera Data Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Braze and Cloudera Data Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Braze and Cloudera Data Platform.