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Dataddo

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185 reviews
  • 1 profiles
  • 6 categories
Average star rating
4.7
Serving customers since
2015
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Dataddo Reviews

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Profile Name
Star Rating
160
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Filippo T.
FT
Filippo T.
CTO & Co-Founder at Melboss Music Inc.
01/20/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Easy, Flexible Data Connections—Advanced Setup Could Be More Intuitive

What I like most about Dataddo is its ease of use combined with strong flexibility. The platform makes it simple to connect and manage data from multiple sources without requiring heavy technical effort, while still offering enough customization to adapt to different business needs.
Alex  E.
AE
Alex E.
01/17/2025
Validated Reviewer
Verified Current User
Review source: Organic

L2 support from DataDDO

I want to take a moment to express my sincere appreciation for the outstanding support provided by the Dataddo team, and in particular, by Josep. My experience with their customer service has been nothing short of exceptional, and I feel it’s important to highlight their dedication and expertise. From the very beginning, the support team at Dataddo demonstrated a deep understanding of the platform and a willingness to go above and beyond to resolve any issues I encountered. Josep, in particular, stood out with his professionalism, prompt responses, and genuine desire to help. He took the time to understand my needs thoroughly and offered tailored, practical, and effective solutions. What impressed me most was Josep’s ability to explain complex technical concepts clearly and concisely, making the entire process smooth and stress-free. He maintained a positive and approachable attitude throughout our interactions, which made me feel valued as a customer. Additionally, the follow-up communication from the team was impeccable. They ensured that all my concerns were addressed, and Josep even shared helpful tips to optimize my workflow with Dataddo. This level of commitment to customer satisfaction is infrequent and deserves recognition. I wholeheartedly recommend Dataddo, not just for its robust features but also for the incredible support team behind it. Thank you, Josep, for making my experience so seamless and enjoyable!
Dana B.
DB
Dana B.
11/14/2024
Validated Reviewer
Review source: Organic

Simple tool to stream data from AWS RDS to GCP BigQuery

I've explored number of options to set up streaming data from AWS to GCP, but some of them required complex set up involving networking specialist, engineers, other tools were too expensive for our small business. Dataddo is easy to set up, straight forward and doesn't require reading lots of documentations to create a flow. Main features why we choose this tool: - Being able to choose data residency - Security - Cost - Being able to choose specific columns from table and limit by date (snapshotting works via SQL) - Reliable Now it's been four months of using the tool and it is reliable, doesn't need maintanence, everything running smoothly, data is matching. I see that the tool is developing, I liked the recent changes in the interface, when team added additional info. Also I liked the customer service, our account manager was supportive on all stages. Even for specific technical questions he set up a meeting with their technical architect.

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HQ Location:
Praha 7, CZ

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@dataddo

What is Dataddo?

Dataddo is the enterprise data integration platform built to eliminate the operational ownership risk of data movement. Acting as the connective backbone of your organization, we provide a fully managed connective layer that moves data from any SaaS, database, or file source to any destination - including AI agents. Our platform automatically handles API changes, schema drift, and sensitive data protection, providing full, granular visibility into every data flow across complex environments, including on-premise, hybrid, and cloud infrastructures. By treating data movement as mission-critical infrastructure rather than a project, Dataddo enables your engineering teams to deploy with total reliability, allowing them to focus on high-value AI outcomes instead of ongoing pipeline maintenance.

Details

Year Founded
2015