Upsolver unlocks the value of your AWS data lake by automating labor-intensive data engineering work. Effortlessly build perfect data pipelines with nothing but a visual interface and the SQL you already know.
Great experience working with Twingo. The team has high proficiency in the big data space, and we were able to achieve great results and joint customers shortly after starting to work with Twingo.
Upsolver eliminates the main data engineering bottlenecks for big data and data lake initiatives -stream processing, data management and data integration for semi-structured data – and is unique in that it provides a true end-to-end, self-service solution for data lake activation, without sacrificing performance or flexibility.
How & Why We Helped Peer39 Upgrade From Netezza to Upsolver
Knowing its current Netezza version is about to reach the end of life, Peer39 started to look for a cost-efficient, cloud-based, open-source solution that will not compromise processing development and pipeline.
Watch this practical session, presenting software craftsman and international speaker, Rob Richardson, where we explore the current challenges in Big Data Analytics, tour all flavors of databases, and understand their pros and cons.