Dataddo vs. Funnel
Dataddo and Funnel 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 flexpoints |
Flexpoints are calculated based on the number of connectors and features you need.
|Dashboards as destinations|
|Data warehouses as destinations|
Data is loaded into Funnel first, and then can be shared to other destinations.
|Apps as destinations (reverse ETL)|
|Connectors||For any industry/department||Marketing-focused|
|Data transformation / customization capabilities||Blend of pre-built and custom transformations||Analysis-centric transformations using rules|
|Encryption||In-transit & at-rest||In-transit & at-rest|
|Data hosting options||Multiple locations worldwide||US/EU only|
Main Use Case
Funnel is more of an all-in-one data solution for marketing teams that don’t have a dedicated warehouse or analytics tool because, in addition to offering ETL functionality, it offers data analytics and storage functionalities. These additional functionalities are reflected in the higher price.
Dataddo’s integration functionality is more robust and can serve a wider variety of use cases beyond marketing. While it can store limited amounts of data in its SmartCache system for clients without a data warehouse, it is not itself a data warehouse, nor does it offer any native analytics functionality; this is reflected in the lower price. Dataddo may therefore be the better choice for companies that already have a dedicated analytics tool and/or a data warehouse, as well as companies that want to avoid vendor lock-in by building a more composable data infrastructure.
Funnel offers different levels of features, custom connectors, and support. The pricing is based on so-called flexpoints, which represent the number of connectors and features.
Dataddo's pricing model is based on the number of data flows, which provides clarity and scalability. What is a data flow? The connection between a source and a destination, e.g., Facebook Ads to BigQuery, would count as one flow. It remains consistent each month unless you scale up or down.
Both vendors offer a limited free plan.
Funnel offers an objectively massive portfolio of marketing connectors. If you need one they don’t have, they will build it for you on request, provided you are on one of their higher-end paid plans.
Dataddo offers a wide portfolio of connectors for various services, not just marketing. If the one you need isn’t on our list and you’re a client on any of our paid plans, we’ll create it for you in about two weeks for free.
Ease of Use
Funnel provides a no-code solution. While the initial setup might require significant configuration, Funnel still strives to make it accessible to users with varying technical skills. After connecting your data source, it will be necessary to set up notifications and configure rules for data preparation, and, if necessary, data sharing to your data warehouse or other destination.
Dataddo also offers a no-code solution that strongly emphasizes user experience and aims to minimize the learning curve for non-technical users. The initial setup is intentionally easy, as you can create your data pipeline in three steps (connect your source, your destination, and create a flow). Users can quickly understand how to set up and manage data flows without extensive technical knowledge.
While Funnel has an extremely wide portfolio of source connectors, the only supported destination is Funnel itself. If needed, users can choose to export their data to a small selection of data warehouses or visualization tools after it is loaded into Funnel.
Dataddo has a wide portfolio of both source and destination connectors that includes data warehouses and lakes, operational apps like CRMs and marketing platforms (reverse ETL), and dashboarding apps. The latter enables non-technical professionals to pull data from any service and send it straight to any dashboarding app for record time to insights.
Data Transformation/Customization Capabilities
Funnel's transformations are analysis-centric, and users can define dimensions and metrics with rules. If the available capabilities are insufficient, further transformations must be performed outside of Funnel in downstream data warehouses and visualization tools.
Dataddo offers a blend of pre-built and custom transformation capabilities (including format harmonization) through an easy-to-use, no-code interface. It also offers an inbuilt anomaly detector, a data quality firewall, and inbuilt data blending capabilities, which help overcome the blending limitations of dashboarding apps.
Both Funnel 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.