Dataddo for Reverse ETL

Make Custom Data Visible in Any App

Send data from any data warehouse into the apps where your business teams spend most of their time, like CRMs, ERPs, and marketing automation platforms.

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Endless Possibilities

Popular Reverse ETL Scenarios with Dataddo

There is no limit to what you can achieve by using Dataddo to automate the flow of enriched data from data warehouses to apps. Here are some popular scenarios.

Build Complete Customer Profiles in Your CRM

Send nuanced insights into your CRM, like scores, lifetime value, and recent activity registered across your channels.

Improve Sales Forecasting in Your ERP

Synchronize data from your sales and inventory tools to your ERP, to keep a unified, ever-current view of trends.

Maximize Your Return on Online Ad Spend

Push offline data on converted customers into your ads platforms, to target prospects just like them in near real time.

Key product benefits

Dataddo for Reverse ETL

Any-to-Any Connectivity

Any-to-Any Connectivity

Dataddo can connect any data warehouse to any app. Our portfolio includes connectors for popular services, niche and regional services, and a universal JSON connector. Need a connector we don't have? We'll build it in around 10 days.

New Connectors Every Week
Universal JSON Connector
Custom Connectors on Request
See Connectors
Put Your Data in Front of the Teams That Need It

Put Your Data in Front of the Teams That Need It

In addition to reverse ETL (operational analytics), Dataddo supports all other key integration types: ETL, ELT, and end-to-end integration of online sources with dashboarding apps. This makes it the only data integration tool you'll ever need to get data to its end users.

Supports All Integration Scenarios
Predictable Pricing
Deployable via UI and API
Subscriptions via AWS/Azure/GCP
Certified and Fully Secure

Certified and Fully Secure

Dataddo is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001, GDPR and DORA for Europe, CCPA and HIPAA in the US, LGPD for Brazil, and POPIA for South Africa.

16 Data Processing Locations
Optional SSH Tunelling
Exclude Personal Information from Extractions
Custom Data Encryption Keys
Single Sign-On (SSO)
AWS/Azure/Google Cloud Private Links
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World-Class Support

World-Class Support

Our engineers proactively monitor pipelines and handle API changes, and our Solutions Architects are ready to take a personal interest in your use case. Have special implementation requirements? We'll provide a tailored support package that includes expert consultancy, guided planning, and flexible licensing.

Assisted Onboarding
Dedicated Data Architect
Live Support Around the Clock
Proactive Pipeline Monitoring
Thorough Documentation
Expert Consultancy

One platform to connect all your data

Why Dataddo?

Simple to Use. Highly Advanced.

Simple to Use. Highly Advanced.

Quickly create pipelines via streamlined interface. Easily configure more complex workloads via code.

Maintenance-Free

Maintenance-Free

Never worry about API changes or pipeline maintenance. Need a new connector? Let us know and we'll build it.

Built for Reliability

Built for Reliability

Inbuilt data quality features, quick data mapping, flexible write modes, syncs up to every 5 minutes.

Here's How Dataddo Works

Create pipelines in minutes via our streamlined, no-code user interface. Don’t want to work through our interface? Access all functionality of the Dataddo platform via our headless API.

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See the Dataddo Platform in Action

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More information

Frequently Asked Questions

What other integration use cases does Dataddo serve?

In addition to reverse ETL, Dataddo supports ETL and ELT, database replication, event-based integrations, and end-to-end integration of online sources with dashboarding apps. It also offers access to a full REST API, so any of Dataddo's data integration functionality can be deployed in a headless scenario.


See our other use case pages:


How does Dataddo solve data quality problems for reverse ETL workloads?

Dataddo offers a number of embedded mechanisms for tackling data quality problems. These include, but are not limited to:


  • The Data Quality Firewall (rule-based, configurable per column)
  • Flexible write modes
  • Easy data mapping
  • Detailed monitoring and notifications
  • Detailed flow logs
  • Syncs every 5 mins

See our documentation for more information about how Dataddo approaches data quality.

What are the benefits of reverse ETL?

Generally speaking, reverse ETL gives business teams like sales and marketing insights from information that only organizations know about themselves.


To illustrate, let's look at CRMs.


CRMs collect a lot of customer data. Payment amounts, support tickets, acquisition information—the data's there. But it's not all there.


Companies have their own specific way of calculating certain metrics, in particular metrics based on first-party data, and it's difficult for CRMs to display these without heavy—and costly—customizations.


Imagine your company sells software as a service, and that customers with three or more user accounts tend to have a lower risk of churn. There is no way your CRM could know this straight out of the box.


But, if you have the right customer data in your data warehouse, your engineers can run computations there, then send the risk scores back into your CRM via a reverse ETL tool, making them visible to your sales and support teams alongside all other customer data. With little to no effort, these teams will then be able to identify who is at risk of churn.


This is why reverse ETL is often referred to as the “last mile” of the modern data stack—it enables organizations to display any information in any business app.

Is Dataddo deployable within the Google Cloud Platform/AWS/Microsoft Azure ecosystems?

Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our:

Where can I learn more about Dataddo's SOC 2 Type II certificate?

How is Dataddo priced for reverse ETL use cases?

Dataddo's pricing is based on number of flows.


What is a data flow? A data flow is the connection between a data source or sources and a destination. For example, if you send data from Facebook Ads (source) to Google BigQuery (destination), this will count as one flow.


This pricing model allows for clear budgeting, as costs do not escalate with data volume, extraction frequency, or number of data sources.

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