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Data from Apps » Dashboarding Apps
Send data from cloud services straight to dashboarding apps for ultra quick insights.
ExploreCOMPARISON
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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Pricing
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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 | |||||||
| Free plan | |||||||||
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Integration Types
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| Dashboards as destinations | |||||||||
| Data warehouses as destinations | |||||||||
| Apps as destinations (reverse ETL) | Only for Salesforce and HubSpot targets, and only for legacy customers. | ||||||||
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Features
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| 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. | Yes 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. | Yes | |||||||
| Time to add new connectors | 10 days | Unclear | |||||||
VERSUS
Pricing
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.
Connectors
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 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.
Monitoring/Troubleshooting
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.
Security
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.
Support
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!
Pricing
See all Dataddo plans
Compare Dataddo's flow-based pricing tiers side by side and start your 14-day free trial.
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Supported Integration Types
Send Your Data Anywhere
- ETL
- ETLT
- ELT
Data from Apps » Data Warehouses
Move data from cloud services to storages to establish one source of truth for all decisions.
Explore- REVERSE ETL
Data from Warehouses » Apps
Send data back into apps to give business teams insights in the systems they use most.
Explore- ETL
Database Replication
Connect storages to replicate, migrate, and distribute data throughout your organization.
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Testimonials
Our Customers Love Us
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!”
