3x
faster
data
collection
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.
3x
faster
data
collection
2-3
FTEs
(full-time equivalents)
saved
1
integration tool
for ELT & reverse ETL
workloads
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.
Send nuanced insights into your CRM, like scores, lifetime value, and recent activity registered across your channels.
Synchronize data from your sales and inventory tools to your ERP, to keep a unified, ever-current view of trends.
Push offline data on converted customers into your ads platforms, to target prospects just like them in near real time.
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.
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.
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.
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.
Quickly create pipelines via streamlined interface. Easily configure more complex workloads via code.
Never worry about API changes or pipeline maintenance. Need a new connector? Let us know and we'll build it.
Inbuilt data quality features, quick data mapping, flexible write modes, syncs up to every 5 minutes.
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.
Click below to start a free trial or book a demo with one of our experts.
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.
For more details on specific use cases, see our other use case pages:
Dataddo offers a number of embedded mechanisms for tackling data quality problems. These include, but are not limited to:
See our documentation for more information about how Dataddo approaches data quality.
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.
Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our:
Consult the Dataddo SOC 2 Type II Certificate.
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.
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”
Andrew Hart
Chief Operations Officer
Sat 7
“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo opens up gates and takes away the hurdles of working with data.”
Laurent Partouche
CPO
FoodChéri & Seazon
“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”
Greg Senior
Business Operations Manager
Farm Focus
“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”