Splice Machine is a San Francisco-based data platform for operational artificial intelligence that combines a scale-out SQL RDBMS, data warehouse and machine learning platform in one. It is open source and built on Apache Hadoop, HBase and Spark, and can be deployed on-premise or as a fully-managed cloud service. Led by co-founder and CEO Monte Zweben, the company powers intelligent applications used in companies' operational workflows. It serves customers in financial services, healthcare, retail, manufacturing and logistics. The company raised $16M in a Series B that brought total funding to $58M to date. Splice Machine plans to use the funds to further innovate its data platform, expand its global go-to-market team, and grow distributed engineering and customer success teams across the U.S. and around the world. Splice Machine provides an Online Predictive Processing (OLPP) platform that makes predictive analytics actionable in real-time operational applications at big data scale. Its platform unifies machine learning, analytics and transactions within a SQL relational database management system, lowering the latency, cost and complexity of predictive applications. The company says customers use the platform across financial services, healthcare, retail, manufacturing and logistics. Splice Machine is led by co-founder and CEO Monte Zweben. The company raised additional funding to continue to expand operations. The article identifies the company as based in San Francisco, CA. Splice Machine offers a relational database management system that combines in-memory technology from Spark with the scale-out capabilities of Hadoop. Its hybrid architecture and advanced resource isolation aim to replace legacy databases such as Oracle and MySQL while improving performance. The company highlights Spark-based in-memory processing and Hadoop scalability as core technical differentiators. Led by co-founder and CEO Monte Zweben, Splice Machine plans to use new funding to accelerate customer traction. The article states the company has raised approximately $31m since inception and will deploy the latest capital to grow adoption. Splice Machine provides a next-generation Hadoop RDBMS designed to scale real-time applications using commodity hardware without application rewrites. The platform enables customers to power real-time applications and operational analytics at Big Data scale. The company has been selected for the Wells Fargo Startup Accelerator program, which will run for six months. Through the accelerator, Wells Fargo mentors will guide Splice Machine and connect it with business and tech leaders inside the bank. Those connections are intended to surface opportunities to solve real problems and potentially sell the Splice Machine Hadoop RDBMS to the bank. The company is led by co-founder and CEO Monte Zweben and is based in San Francisco. Splice Machine offers a Hadoop RDBMS designed to scale real-time applications and operational analytics as customers approach Big Data scale. Its database is presented as an alternative to traditional RDBMSs such as Oracle, MySQL, IBM DB2 and Microsoft SQL Server. The product enables real-time application workloads on commodity hardware without application rewrites. The company is led by co-founder and CEO Monte Zweben and is based in San Francisco, CA. Splice Machine has previously received funding from Mohr Davidow Ventures in October 2012. It intends to use newly raised funds to accelerate product development and build out sales and marketing teams.

Total raised

$56M

Funding rounds

7

Latest round

Equity

Latest activity

Feb 2019