Global Big Data Conference

#artificialintelligence 

Splice Machine develops a machine learning-enabled SQL database that is based on a closely engineered collection of distributed components, including HBase, Spark, and Zookeeper, not to mention H2O, TensorFlow, and Jupyter. Customers use it to build complex AI apps that include transactional, analytical, and ML components. The company just announced a Kubernetes operator for customers running in private cloud environments. Zweben said during a demo of Splice Machine's Kubernetes Ops Center. "When you pause on Splice Machine, it drains Kubernetes nodes and makes them available for other applications to use." Support for Kubernetes is not new at Splice Machine.