Splice Machine, a data-storage company that aims to bridge the gap between traditional databases and NoSQL, has received a boost in the form of another round of funding following the release of version 2.0 of its Hadoop and Spark-based Relationship Database Management System (RDBMS) platform.

The new funding totals $9M and comes from Mohr Davidow Ventures (MDV), Interwest Partners and Correlation Ventures, which have supported the company previously. The investment brings Splice Machine's total funding since inception to about $31M.

Splice Machine secured the additional investment following the release of version 2.0 of its platform, which it says delivers data storage performance that is ten to twenty times faster than that available from traditional databases, like Oracle MySQL. Splice Machine also promises costs that are one-fourth those of traditional databases.

The company's big innovation is combining traditional databases with "NoSQL"-type storage. NoSQL, which refers to databases that offer more flexibility -- and potentially more speed -- than the tabular data-storage model of relational databases, have become one of the biggest trends in the database world in the last several years.

However, most data storage providers have treated relational databases and NoSQL as an either-or proposition. Splice Machine therefore stands out for building a storage platform that aims to give users both options. Its hybrid storage architecture supports relational database storage of the type familiar to virtually any data analytics engineer, yet it also takes advantage of Apache Spark to deliver the performance of in-memory NoSQL storage. It integrates the Hadoop big data storage platform, too, for massive scalability.

Splice Machine is only one of a number of companies vying to win the storage wars, and it remains unclear which solutions will ultimately prevail. But the company clearly seems to be holding its own as NoSQL continues to evolve.