05 December 2017
05 December 2017
BOSTON, Mass., December 5, 2017—RapidMiner™, the company that delivers real data science, fast and simple, today announced the release of RapidMiner 8, a significant upgrade to the architecture of the RapidMiner data science platform. In addition to the launch of RapidMiner 8, the company announced record revenue for its Q3 2017.
RapidMiner 8.0 improves the reliability and scalability of the RapidMiner platform, enabling the production, deployment, and management of enterprise-scale data science projects. At the core of RapidMiner 8 is a new architecture based on containers and microservices.
“RapidMiner 8 is a massive milestone in the evolution of RapidMiner as an enterprise-scale data science platform,” said Lars Bauerle, chief product officer at RapidMiner. “RapidMiner powers mission-critical predictive models for global enterprises, and we want to ensure that our largest customers can deploy RapidMiner in a highly scalable, reliable, and secure environment. RapidMiner 8 is just the beginning of an aggressive roadmap we have planned for our users.”
RapidMiner will be presenting an overview of RapidMiner 8 in an upcoming webinar on December 7th at 11:00am EST.
RapidMiner achieved another quarter of record revenue in its Q3 2017, driven by strong new customer acquisition and one of the largest transactions in company history. Organizations continue to purchase RapidMiner for a variety of data science and machine learning initiatives, select new customers in Q3 2017 include:
In other RapidMiner news from the quarter:
“RapidMiner continues to achieve outstanding business results,” said Peter Lee, chief executive officer at RapidMiner. “Our business continues to experience rapid growth, driven by a combination of innovative customers, the best data science platform for the enterprise, and the excellent team we’ve built. We’re thrilled to release RapidMiner 8, and are looking forward to continued momentum as we head into 2018 and beyond.”
RapidMiner builds a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever before on a single platform. RapidMiner eliminates the complexities of cutting edge data science by making it easy to deploy the latest machine learning algorithms and innovative technologies like Tensorflow, Hadoop, and Spark. More than 300,000 data scientists in over 150 countries use RapidMiner products on-premise or in the cloud to drive revenue, reduce costs, and avoid risks.
For more information, visit rapidminer.com.