Dataddo: Use-Cases, Insights and Reviews | 2026 Cuspera

Wärtsilä needed to bring their marketing data management in-house after outgrowing their agency. They chose Dataddo for its wide connector options and fast custom connector development. Dataddo built... a GoToWebinar connector in under 10 days, helping Wärtsilä centralize data in AWS and automate data integration. This let Wärtsilä cut external data management costs and spend more time using data to drive profits. Their marketing and sales teams now have reliable dashboards and a single source of truth for all marketing data.
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Sensire needed to move their on-premise data to the cloud. They wanted to centralize all their data in Google BigQuery and have fresh data for decision-making. They chose Dataddo for its easy-to-use ...connectors and fast support. Dataddo helped them connect their proprietary and niche healthcare software to BigQuery. The solution saved Sensire about 3 weeks of work during migration and now saves up to 3 man-days each month. Their data team can now focus more on improving patient care.
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FoodChéri wanted to get better insights from their operational data. Their data was in business-critical systems, making access hard and risky for engineers. They needed a way to move data safely and... easily to a place for analysis. Dataddo built a MongoDB connector for them and handled data replication to BigQuery. This let FoodChéri move large amounts of data daily without hurting their main systems. They cut their infrastructure costs by 25-50% and saved weeks of engineering work.
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Uber Eats had trouble managing data from over 50 marketing accounts. Their old system made two analysts spend all their time collecting and cleaning data. They used Dataddo to collect and clean data ...automatically from many sources. Now, the analysts spend only one-third of their time on data management. This saves them over 50 hours each week. The team can now focus more on finding insights and making better decisions.
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Ringside.ai wanted to save developer time and focus on building their core analytics product. They needed a data pipeline solution that was cost-effective and flexible. Their first vendor was too exp...ensive for Microsoft Ads data, so they switched to Dataddo for its unit-based pricing. Dataddo also built custom connectors quickly and helped Ringside manage data from many client accounts. As a result, Ringside saved 2-3 full-time developer equivalents and built their product faster.
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Boldr was spending too much time maintaining their in-house ETL solution for internal reporting. They needed a managed SaaS solution to reduce maintenance and improve data accuracy. They chose Datadd...o for its easy connectors, user-friendly interface, and strong support. Deployment was quick and the error rate dropped. Boldr now spends 80% less time on pipeline maintenance and saves over 5 man-days each month.
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