“Enterprise-Class Open-Source Data Tools” Is Not an Oxymoron

“Enterprise-Class Open-Source Data Tools” Is Not an Oxymoron

The biggest challenge when adopting open-source tools is balancing innovation and risk mitigation. The tools need enterprise-class features.

The biggest challenge when adopting open-source tools is balancing innovation and risk mitigation. The tools need enterprise-class features.

Leveraging open-source data tools shouldn’t scare you as an enterprise. Instead, they could hold the key to transferring data into full-fledged insights on a company-wide scale. If a business is going to survive the data revolution, exploring the use of open-source data tools should be high on the list.

Transitioning from the legacy systems of the past to newer, faster tools can be an expensive endeavor. Still, enterprises with the data science talent on staff already could use open-source options to jumpstart the data pipeline. With enterprises needing to ingest more significant amounts of data faster, utilizing the community wisdom of open-source tools could be the foundation for real, company-wide innovation.

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