Recent News

Splice Machine Announces Cloud Deployment Containers  /  4.4.18

Splice Machine’s Cloud Deployment Containers were designed to greatly facilitate the injection of intelligence into mission-critical cloud applications. This new deployment method allows developers to locally develop Internet of Things (IoT) and artificial intelligence (AI) applications that use streaming and machine learning (ML) technologies on their laptops, and then seamlessly deploy their ML models as containers on a virtual private network with Splice Machine’s Cloud Service.

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Making Hadoop Relatable Again  /  3.26.18

There has been much debate over the future of Hadoop in recent months. Should it work more like a cloud object store? Should it support GPUs and Docker or Kubernetes? Should compute and storage be separated in Hadoop? Is it even necessary anymore? The folks at Splice Machine have their own take: If you make Hadoop look more like a relational database, then people will do more with it.

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DBTA Roundtable: Leveraging big data

Splice Machine Creates Connector to Strengthen IoT and Machine Learning  /  3.19.18

Splice Machine is launching a connector that aims to boost IoT and machine learning applications. The solution, Apache Spark DataSource, provides a fast, native, ACID-compliant datastore for Spark and also opens up Splice Machine’s underlying Apache Spark engine to directly use advanced capabilities such as Spark SQL, Spark Streaming, and MLlib or R (for machine learning).

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