Dataddo: Use-Cases, Insights and Reviews | 2025 Cuspera

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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Livesport wanted to focus their data team on analytics, not on syncing data to BigQuery. They chose Dataddo to handle data integration and automate data ingestion. Dataddo provided smooth integration..., real-time support, and built new connectors quickly. Livesport saved about 70% of data engineering time, equal to 3-4 full-time employees. Now, their team spends more time on analytics and uses advanced Google Cloud tools.
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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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ID&T Group had trouble making business decisions because their data was scattered and collected manually. This made it hard to understand their audience and event performance. They used Dataddo to co...llect and unify data from many sources like Facebook, Instagram, and ticketing systems. This automated system saved them 2-3 man-days per week and removed manual errors. Now, they have a complete view of their audience, make better decisions, and can increase revenue.
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