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Native Spark DataSource Focus of Report from Ovum’s Tony Baer

April 27, 2018

Earlier this month, Splice Machine announced its new native Spark DataSource for cloud and on-premise customers, as well as Cloud Deployment Containers, designed to make it easy for companies to deploy intelligent, mission-critical applications on Splice Machine’s cloud service on Amazon Web Services (AWS). We spoke with Tony Baer, a principal analyst at Ovum, about our announcement, which resulted in the report, “Splice Machine’s native Spark support adds path for data scientists.”

In the report, one of Tony’s main observations is how our new features help data scientists fully tap the power of Spark. Data scientists are able to bypass the limitations of the SQL-based JDBC interface in favor of the more scalable and powerful Spark DataFrame API. This allows data scientists to operate on data at scale and ingest real-time streaming data with outstanding performance.

Tony also focuses on how Splice Machine’s managed cloud service, which currently runs on Amazon AWS, can now easily deploy containers that leverage the native Spark DataSource on a cluster. Tony notes that together, these enhancements will allow Splice Machine’s managed cloud service to compete for workloads with the likes of Databricks, Amazon Redshift, and Google BigQuery.

To learn more, check out the full report here.