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Data warehouse ⇄ Database

Azure Synapse Analytics to MongoDB integration — real-time, two-way sync

Keep Azure Synapse Analytics 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 Azure Synapse Analytics and MongoDB

Connect MongoDB and Azure Synapse Analytics 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 Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into MongoDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.
  • Consolidate SaaS data alongside lake data so analysts join both through one SQL surface.
  • Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
  • Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.

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 Azure Synapse Analytics and keep MongoDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from MongoDB land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Azure Synapse Analytics 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.

Azure Synapse Analytics objects MongoDB objects
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Indexes Keep lookups by sync key fast on large collections.
Views Curated projections used when downstream tools should not read base tables directly. Views Read-only aggregation-defined sources for filtered sync datasets.
Schemas Namespaces that separate staging, integration, and presentation layers. Change streams The oplog-backed event feed that powers real-time change capture.
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. GridFS files Chunked file storage whose metadata can be referenced by synced documents.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Databases Logical groupings of collections that scope a sync connection.
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Collections The table-like sync unit; each collection maps to a table or object in the paired system.
What ships with Azure Synapse Analytics ⇄ MongoDB

Connect Azure Synapse Analytics and MongoDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–MongoDB connection.

Real-time

Two-way sync

Changes in Azure Synapse Analytics or MongoDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or MongoDB record.

Observability

Monitoring

Track your Azure Synapse Analytics ⇄ MongoDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and MongoDB.

How the Azure Synapse Analytics and MongoDB connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

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 Azure Synapse Analytics 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 Azure Synapse Analytics 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
    Azure Synapse Analytics connected
    MongoDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Synapse Analytics 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 · Azure Synapse Analytics ⇄ 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
    Azure Synapse Analytics MongoDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Synapse Analytics and MongoDB integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Azure Synapse Analytics and MongoDB.

Popular · 8 of 386
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