Tamr Data Unification System—leveraging best-of-breed components, such as Spark, the system is able to scale up to solve the largest data challenges with an agile master data management tool that combines, consolidates, and classifies siloed enterprise data using human-guided machine learning to fuel digital transformation
Teradata Vantage—enables enterprises to uncover actionable answers to the toughest business questions by tightly integrating analytic functions and engines to provide a scalable, agile platform that helps organizations to drive business value
TigerGraph Cloud—provides users with a cloud-based service to model, search, and traverse relationships for analytic, transactional, and real-time workloads with simple querying and scalability to find patterns, make predictions, perform real-time transactions, and gain new insights
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GridDB—delivering the advantages of SQL and NoSQL, the purpose-built, in-memory distributed IoT database uses a key-container model and time series functionality to provide the capabilities businesses need to create cutting-edge IoT solutions
Trifacta Wrangler—accelerates data preparation for analytics and machine learning with no coding required, and makes data cleaning, blending, and structuring more intuitive so that even the most challenging Excel, CSV, or JSON files can be wrangled in minutes
Vertica Analytics Platform—helps organizations to future-proof their analytics by combining the power of a high-performance, massively parallel processing SQL query engine with advanced analytics and machine learning, and is available in a wide range of deployment and consumption
VMware Cloud Foundation—provides integrated cloud infrastructure (compute, storage, networking, and security) and cloud management services to run enterprise applications in both private and public environments by leveraging a common infrastructure and consistent operational model
VoltDB—an in-memory, scale-out operational database, built to help organizations create high velocity applications, that offers increased support for the Hadoop ecosystem, expanded SQL support, and a new management center without compromising on ACID requirements
Waterline Data—automates data discovery, compliance, and the ability to take action on data by using a powerful combination of AI, machine learning, and patented fingerprinting technology to deliver an AI-driven data catalog
Yellowbrick Data Warehouse—built for enterprises and the hybrid cloud, the platform deploys analytics anywhere with the goal of making analytics and data warehousing simple and optimized, along with providing software that eliminates tasks that consume IT and DBA staff time