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 |
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|
|Dashboards as destinations|
|Data warehouses as destinations|
|Apps as destinations (reverse ETL)|
Only for Salesforce and HubSpot targets.
|Coding required?||No||Yes (during setup only)|
|Platform does transformations?||Yes |
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.
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 |
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|
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. There are no limitations on data volume, but adding data flows may require plan upgrades.
Both platforms offer free plans.
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, and connects online services directly to dashboard applications—a feature useful for teams that need ad hoc insights, as well as businesses that don’t have a data warehouse (the latter can store a limited amount of data in Dataddo’s SmartCache system).
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 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 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.
Pay as You Grow
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.
Supported integration types
How Do You Want to Move Your Data?
Data from Apps » Dashboarding AppsSend data from online sources straight to dashboarding apps or Google Sheets.
Data from Apps » Data WarehousesMove data from cloud services to storages to establish one source of truth for all decisions.
Data from Warehouses » AppsSend data back into apps to give business teams insights in the systems they use most.
Database ReplicationConnect storages to replicate, migrate, and distribute data throughout your organization.