Dataddo vs. Hevo

Dataddo and Hevo are both market-proven data integration tools, and which one is right for your use case will depend on a range of factors. 

This comparison will help you make an informed decision based on your specific requirements.

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Based on No. of data flows Info

A data flow is the connection between a source and a destination. For example, a connection between Facebook Ads and Looker Studio would count as one flow.

No. of events
Free plan
Integration Types
Dashboards as destinations
Data warehouses as destinations
Apps as destinations (reverse ETL) Info

Only for Salesforce and HubSpot targets.

Coding required? No Yes (during setup only)
Platform does transformations? Yes Info

Dataddo automatically cleanses and harmonizes data before sending it to a destination. This makes it machine-readable, immediately analyzable in dashboards, and easier for engineers to manipulate in data warehouses.

Yes Info

Hevo automatically cleanses and harmonizes data before sending it to a destination. This makes it machine-readable and easier for engineers to manipulate in data warehouses.

Encryption In-transit & at-rest In-transit & at-rest
Data warehouse required? No Info

Though Dataddo can connect to any data warehouse, it also allows users to store data in its embedded SmartCache.

Time to add new connectors 10 days Unclear


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Hevo's pricing model is based on the number of events processed per month. This could be beneficial for small businesses or startups moving lower volumes of data, but keep in mind it can lead to variable costs due to unpredictable data volumes.

Dataddo's pricing is fixed and based on the number of data flows used. What is a data flow? In short, the connection between a source and a destination, e.g., Facebook Ads to BigQuery, would count as one flow. This means your bill will be the same every month (unless you decide to scale up or down, which can be done easily).

Both platforms offer free plans.

Integration Types

Hevo primarily offers ETL and database replication functionality. It also offes reverse ETL, but only to Salesforce and HubSpot targets, and it lacks the ability to connect data from online services directly to dashboarding applications, which may limit its utility for businesses without a data warehouse, or whose teams need to send data to dashboards ad hoc for quick insights.

Dataddo also offers ETL and database replication functionality. But, additionally, it offers reverse ETL to a wide range of destinations like CRMs and marketing automation platforms, and connects online services directly to dashboard applications—a feature useful for business teams that need ad hoc insights. In short, Dataddo users can literally send data from any source to any destination.


Hevo offers a fairly wide portfolio of connectors, in particular source connectors. If you need a connector they don't have, they offer to build it.

Dataddo offers a significantly larger portfolio of connectors. If the one you need isn't on our list, we can create it for you in about two weeks.

Data Pipeline Management

Hevo's pipelines, once established, cannot be edited. Duplicating data sources and pipelines is not supported. This means that separate data sources must be created for each SQL server schema, which can lead to repetitive inputting of database credentials.

Conversely, Dataddo provides a dynamic and flexible pipeline management system. Users can edit established sources, destinations, and pipelines, as well as easily duplicate them.

Data Pipeline Management

Data Transformation Capabilities

Hevo Data allows near real-time and batch data transformation, schema modification, and data blending, providing a user-friendly experience. However, it may lack advanced blending and normalization features.

Dataddo offers extensive features including data blending, normalization, customizable metrics, and near real-time data processing, but with a potentially steeper learning curve.

In summary, Hevo Data is ideal for straightforward use, while Dataddo suits those seeking extensive customization and complexity.


Hevo Data offers basic monitoring capabilities, providing notifications and maintaining an activity log. These might lack comprehensive details about errors and next steps, potentially leading to unchecked broken pipelines.

Dataddo offers robust monitoring, detailed and exportable activity logs, comprehensive notifications, and a range of self-serve troubleshooting tools. Recommended steps for solving certain problems, however, may be difficult for non-technical users to take.


Both Hevo and Dataddo are certified and/or compliant with SOC 2 Type 2, ISO 27001, and other global and regional standards for data privacy and security.

Additionally, Dataddo is compliant with the Digital Operational Resilience Act (DORA) - Regulation (EU) 2022/2554.

Both Hevo and Dataddo offer security features like data hashing/masking, SSH tunnelling and reverse SSH tunnelling, single sign-on (SS), exclusion of personal identifiable information (PII) from extractions, and AWS private link capabilities. Additionally, Dataddo also offers Azure and Google Cloud private link capabilities.


It’s hard to give a point-by-point comparison of support for two SaaS products unless you’re a paying customer of both. So, in this section, we’ll not speak to Hevo support, but instead talk about what Dataddo has to offer.

In a word, Dataddo support is world-class. We offer live support around the clock, and our team of engineers proactively monitors pipelines and handles API changes. Our documentation is thorough and clear, and our Solutions Architects are ready to take a personal interest in your use case.

Have special implementation requirements? No problem. We can provide a tailored support package that includes expert consultancy, guided planning, and flexible licensing, to ensure that your data integration initiatives are a success.

But don’t take our word for it—go to any software review website and see what our customers are saying!


Pay as You Grow

Billed monthly
Billed annually 30% OFF
Data Flow

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 Looker Studio (destination), this will count as one flow.

Learn More

Supported integration types

How Do You Want to Move Your Data?


Dataddo Is Ranked #1 by Customers

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G2 - Momentum Leader Winter 2024G2 - High Performer Winter 2024Google Cloud PartnerTableau Technology PartnerAWS Partner NetworkGartner Cool Vendor 2019