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Data warehouse ⇄ Database

Cloudera Data Platform to MongoDB integration — real-time, two-way sync

Keep Cloudera Data Platform and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Cloudera Data Platform and MongoDB

Connect MongoDB and Cloudera Data Platform with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want MongoDB's rows in Cloudera Data Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in MongoDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in MongoDB sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into MongoDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • 02 Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
  • 03 Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
  • 04 Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.

Common sync patterns

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Cloudera Data Platform and keep MongoDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from MongoDB land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Cloudera Data Platform and MongoDB

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 MongoDB objects How this pairing syncs
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. Databases Logical groupings of collections that scope a sync connection. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views SQL views that can present curated, sync-ready projections of raw lake data. Views Read-only aggregation-defined sources for filtered sync datasets. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Documents BSON records created, updated, and deleted during syncs, keyed by _id. Iceberg tables is specific to Cloudera Data Platform and Documents to MongoDB — each maps to any object or custom field on the other side.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. Partitions is specific to Cloudera Data Platform and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side.
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Indexes Keep lookups by sync key fast on large collections. Object store / HDFS files is specific to Cloudera Data Platform and Indexes to MongoDB — each maps to any object or custom field on the other side.
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Change streams The oplog-backed event feed that powers real-time change capture. Hive tables is specific to Cloudera Data Platform and Change streams to MongoDB — each maps to any object or custom field on the other side.

How changes propagate between Cloudera Data Platform and MongoDB

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.

Cloudera Data Platform MongoDB Interval-based propagation

DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.

DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.

MongoDB Cloudera Data Platform Sub-second propagation

DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).

DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
What ships with Cloudera Data Platform ⇄ MongoDB

Connect Cloudera Data Platform and MongoDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–MongoDB connection.

Real-time

Two-way sync

Changes in Cloudera Data Platform or MongoDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Cloudera Data Platform or MongoDB record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ MongoDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and MongoDB.

How the Cloudera Data Platform and MongoDB connectors work

Cloudera Data Platform

Integration surface
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
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits

MongoDB

Integration surface
MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
Authentication
Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
Change detection
MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
Capabilities
read · write · CDC
MongoDB setup guide
How it works

How to connect Cloudera Data Platform to MongoDB — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Cloudera Data Platform and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Cloudera Data Platform connected
    MongoDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform and MongoDB 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Cloudera Data Platform ⇄ MongoDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Cloudera Data Platform MongoDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform and MongoDB integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 470 integrations available for Cloudera Data Platform and MongoDB.

Popular · 5 of 470
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