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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. Fivetran
Dataddo and Fivetran 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 data rows | |||||||
| Free plan | |||||||||
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Integration Types
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| Dashboards as destinations | |||||||||
| Data warehouses as destinations | |||||||||
| Apps as destinations (reverse ETL) | |||||||||
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Features
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| 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 | Must be coded by users | |||||||
| Coding required? | No | Yes, for transformations | |||||||
| Platform does transformations? | Yes Dataddo automatically cleanses and harmonizes data before sending it to a destination. This makes it immediately analyzable in dashboards, and easier for engineers to manipulate in data warehouses. | No | |||||||
| Encryption | In-transit & at-rest | In-transit & at-rest | |||||||
| 24/7 customer support | |||||||||
VERSUS
Pricing
Fivetran's pricing is active row-based. This could be beneficial for small businesses or startups moving lower volumes of data, but keep in mind that your bill will fluctuate in accordance with how much data you move.
Dataddo's pricing is flow-based. What is a data flow? 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 vendors offer a limited free plan.
Connectors
Fivetran offers a wide portfolio of connectors, but if the one you need isn't on their list, you'll need to build it yourself.
Dataddo also offers a wide portfolio of connectors. If the one you need isn't on our list, we'll create it for you in about two weeks.
Integration Types
Fivetran supports ELT operations and database replication. It does not support reverse ETL operations, but it cooperates closely with Census, a company that does.
Dataddo also supports ELT and database replication, but, in addition, it supports ETL, reverse ETL, and direct end-to-end integration of online sources with dashboarding apps. This comprehensive integration functionality makes it possible for users to send data from literally any source to any destination.
Data Transformation/Customization Capabilities
Fivetran does not have any native transformation functionality, but it integrates closely with dbt—a data transformation platform for data engineers. For non-dbt users, Fivetran provides a selection of pre-built transformation templates (also courtesy of dbt) for common data transformation scenarios. Whether you use the templates or dbt itself for transformations, the transformations take place in the warehouse.
Dataddo offers a blend of pre-built and custom transformation capabilities. It provides an easy-to-use, visual interface where users can define custom transformations, significantly reducing reliance on SQL. This makes the platform more inclusive for teams with varying technical proficiencies. Dataddo users can still use dbt as a layer on top of their warehouse, so there is no “forced” system of transformations. Also, because Dataddo pre-cleans any data it extracts, and because it enables exclusion of unnecessary data like personal identifiable information (PII) from datasets, it saves on warehouse fees and solves the majority of data security issues right at the extraction level.
If you really want to fully customize your business logic, both Fivetran and Dataddo offer “headless” products. Fivetran offers a partial REST API, while Dataddo offers a full REST API.
Ease of Use
Fivetran is designed for use by data engineers and data scientists. Its functionality therefore requires a certain level of technical proficiency, and using the tool involves a learning curve, especially for users unfamiliar with data integration and SQL. Technically oriented teams or those with the resources to invest in learning the platform will be pleased with the depth of capabilities and granularity of control it offers.
Dataddo places a strong emphasis on user experience, aiming to combine power and simplicity. It offers an intuitive, no-code user interface designed to minimize the learning curve for non-technical users and save work for engineers, making it accessible to a wide range of users. It offers visual aids for data transformations and straightforward methods for setting up and managing data flows. This is good for teams with a mix of technical skills or for businesses aiming to democratize data usage across different departments.
Inbuilt Data Quality Mechanisms
Fivetran approaches data quality by focusing on error handling and reporting. Its platform is designed to alert users when data pipeline issues arise, including discrepancies in data, sync failures, and broken connectors. It also offers a history mode, which enables users to analyze data from a certain point in time, or how their data has changed over time (on a per-table basis). Connector log data is retained for one week; longer retention requires integration with an external logging service. In general, Fivetran relies on users' initiative to monitor these alerts and take corrective actions.
Dataddo takes a multi-layered approach to data quality. Among other mechanisms, it features a built-in anomaly detector and filtering system, which lets users set rule-based integration triggers that prevent suspicious datasets from flowing downstream. It also incorporates data validation checks during extraction and transformation stages to ensure data integrity, as well as a notification system to alert users of any issues. The connector and flow logs give users a complete overview of all activity within the tool. Dataddo's engineers also proactively monitor and maintain pipelines independently of user initiative, minimizing the need for user intervention.
Data Warehouse: Necessary or Not?
Fivetran specializes in the extraction of data to warehouses, so you have to have a data warehouse in order to use it.
Dataddo specializes in the same, but, in addition, it allows you to skip the warehouse and extract data straight to dashboarding apps, which is useful for business teams that need quick insights. In case your business doesn't have a warehouse, you can use Dataddo's embedded SmartCache to collect data from periods past.
Security
Both Fivetran 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 Fivetran 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/Azure/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 Fivetran 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!”
