MongoDB MongoDB

MongoDB

Operational Database

Dataddo is the turnkey data layer for MongoDB. Connect 400+ business sources, keep clean, governed collections in sync with no pipelines to build or maintain, and deploy the data plane in the cloud, a sovereign region, or on-premises so your data stays where it belongs. Fully managed and database-agnostic - no lock-in.

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ARCHITECTURE

Where MongoDB fits in your data architecture

Sources

Business / DB / File / Streaming Connectors

450+ available, any direction

Orchestration

Monitoring

Governance & Lineage

IAM & SSO

Dataddo Platform

Speed Security Governance
Control Plane
Data Plane

Destinations

DWH / Data Lake / Lakehouse

Consumption

AI & Agents / Analytics

ETLELTReverse ETLCDCData Streaming
Any direction, any workload
YOUR DATA FOUNDATION

Every source into MongoDB, clean and current

Connect 400+ sources and keep MongoDB continuously fed with clean, governed data - no pipelines to build, and no bad or broken data slipping through.

400+ managed connectors

Marketing, sales, finance, product, and ad platforms - plus other databases and flat files - all maintained for you.

ETL, ELT, CDC, streaming

Load MongoDB however the workload demands - batch ETL or ELT, real-time CDC from your source databases, or continuous event streaming. One platform, every transport pattern.

Write modes that hit SLAs

Insert, upsert, truncate-insert, or delete - pick the write mode per table. Incremental loads and fast, reliable delivery keep MongoDB current and meet your data SLAs.

Clean, safe, ready to serve

Blend and reshape sources, then let the Data Quality Firewall stop bad records and automatic PII detection mask sensitive fields - so only trustworthy data lands in MongoDB.

Schema-drift handling

When a source changes its fields, Dataddo adapts the pipeline and alerts you instead of breaking the load into MongoDB.

Proactive monitoring

Data-quality checks and delivery alerts catch gaps before they reach MongoDB or the applications it powers.

WITH VS. WITHOUT

Who carries the load when things change upstream

Keep the same sources flowing into MongoDB - and see who owns it when an API, schema, or endpoint changes:

Without Dataddo With Dataddo Outcome for you
API or auth change You discover the breakage and scramble to fix it. We update the connector and restore the pipeline - often before you notice. Pipelines to MongoDB keep flowing
Schema drift Columns change and pipelines break or corrupt data silently. Detected automatically and handled by configurable rules. Only clean data lands in MongoDB
Endpoint deprecated You re-engineer the integration. We own the update - the data contract holds. Your MongoDB loads keep working
Missing connector You build and maintain a custom integration. We build it and maintain it, under a ~4-week SLA. Any source can reach MongoDB
Silent degradation You find out when a report or model run fails. Proactive monitoring catches anomalies and delays first. Issues caught before MongoDB consumers break
Debugging You dig through logs across disconnected tools. Run histories, payload inspection, and end-to-end lineage in one place. Faster root-cause, less downtime
Data residency by design

Choose where MongoDB is loaded - cloud, sovereign, or on-prem

Loading an operational database means moving your most sensitive data. With Dataddo you decide where the data plane runs per workload - fully in the cloud, in a regional or sovereign cloud, or on-premises inside your own perimeter. The control plane orchestrates every option the same way, through metadata only, so MongoDB stays wherever compliance and latency require.

Data Plane location Typical data sensitivity Why this setup

Public cloud

AWS Microsoft Azure Google Cloud
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud.

Regional & EU sovereign clouds

EU sovereign clouds Regional providers Private cloud
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure.

On-premises

Kubernetes Red Hat OpenShift VMware Tanzu
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only.
DATA TRANSPORT

Every way to move data into and out of MongoDB

The delivery pattern changes, the platform does not. Load MongoDB by scheduled batch or in real time, replicate other databases into it, and activate its data back out - all governed the same way.

Transport type What it does Typical connectors Typical business use cases
ETL & ELT Classic extract-transform-load, or load-first with in-warehouse transformation.
Salesforce Google Analytics 4 HubSpot Snowflake BigQuery + 400 more
Consolidate SaaS, ad, and CRM data into MongoDB as an operational data store, Load raw data into MongoDB and transform it in place with SQL
Change Data Capture (CDC) Real-time, low-latency replication that tracks row-level changes as they happen.
PostgreSQL MySQL SQL Server Oracle + 400 more
Replicate production databases into MongoDB in near real time, Keep MongoDB in sync with other operational systems without full reloads
Data Streaming Continuous, event-driven pipelines for time-sensitive and AI-ready data workloads.
Kafka Azure Event Hub + 400 more
Stream events and webhooks into MongoDB for always-current data, Feed applications and services from MongoDB with the latest activity
Reverse ETL Activate your data: push curated, governed records from your AI agents or warehouse back into CRMs, operational systems, and the frontier apps where your teams act on it.
Salesforce HubSpot Google Ads Marketo + 400 more
Write modeled metrics and segments from your warehouse back into MongoDB, Sync MongoDB with the CRMs, ad platforms, and apps your teams run on
Case Studies

See what data teams build with Dataddo

65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

One of the world's largest beauty and consumer goods companies, operating across hundreds of markets and managing one of the most complex social media data estates in the industry.

Beauty & Consumer Goods

 How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo

How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo

Livesport is a global provider of real-time sports statistics, news, and other sports information.

Entertainment

 How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts

How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts

ID&T is the world's pioneering electronic music entertainment company, known for organizing major electronic music festivals such as Defqon.1, Awakenings, and Mysteryland.

Entertainment

 How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo

How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo

Sensire is a large healthcare organization that provides care to clients in their own homes, as well as in nursing facilities.

Healthcare

 How Ringside.ai Builds a Data Product Better and Faster Using Dataddo

How Ringside.ai Builds a Data Product Better and Faster Using Dataddo

Ringside.ai provides a marketing data platform that specializes in analytics and attribution.

Marketing

 How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product

How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product

Publicis Groupe Brasil is the Brazilian branch of Publicis Groupe, the second largest communications group in the world, with over 1,500 employees across nine subsidiaries including Leo Burnett, Performics, and Publicis Brasil.

Advertising
FAQ

MongoDB + Dataddo, answered

What can I load into MongoDB?

Any of Dataddo's 400+ sources - marketing and ad platforms, CRMs, finance tools, other databases, and flat files - plus custom sources on request. Data is blended and cleansed before it lands in MongoDB.

Do I have to maintain the pipelines?

No. Dataddo is fully managed: we maintain the connectors, adapt to source schema changes, and alert you if anything needs attention. Run it fully in the cloud with nothing to operate, or self-host the data plane as a lightweight agent - either way there is no pipeline code for you to maintain.

How does Dataddo load data into MongoDB?

Dataddo writes to collections in your MongoDB database, using insert or upsert loads on the schedule you choose. Incremental loads move only new or changed documents, and if you run the data plane on-premises, the load stays inside your own network.

Can I sync data both into and out of MongoDB?

Yes. Dataddo loads MongoDB from 400+ sources and also does reverse ETL - pushing modeled data from your warehouse or other systems back into MongoDB, and from MongoDB into CRMs, ad platforms, and operational apps.

How is my data secured?

Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and if you run the data plane on-premises, payload data never leaves your network. EU or US data residency is available.

Will this add load to MongoDB?

Incremental loads write only new or changed rows, and you control the schedule - so you move only the data you actually need and keep write load on MongoDB predictable.

Am I locked in?

No. Data lands in native MongoDB tables you own, and pipelines are database-agnostic - you can add or switch databases and destinations without rebuilding your sources.