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DataPelago aims to save enterprises significant $$$ with universal data processing
DataPelago has just emerged from stealth but is already claiming to deliver a five-fold reduction in query/job latency while providing significant cost benefits.
More than a decade ago, structured and semi-structured data analysis was the go-to option for data-driven growth, providing enterprises with a snapshot of how their business was performing and what needed to be fixed. The DataApp is a pluggable layer that allows integration of DataPelago with open data processing frameworks like Apache Spark or Trino, extending them at the planner and executor node level. “The next phase of growth for DataPelago is building out our go-to-market team to help us manage the high number of customer conversations we’re already engaging in, as well as continue to grow into a global service,” he said.
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