If you're looking for something else besides WEKA, Cloudera offers a hybrid data platform that securely ingests, processes, and analyzes data across cloud and on-premise environments. The platform aggregates vast amounts of data from multiple sources into a single trusted system for insights and AI model training. With a wide range of data services supporting real-time insights and large-scale data analytics, Cloudera is well suited for industries such as financial services, manufacturing and healthcare.
Another good option is Teradata, which offers a flexible foundation for getting the most value out of data and AI investments. Teradata VantageCloud aggregates and harmonizes data across an organization, providing a single view of data and faster answers through ClearScape Analytics. It supports multiple workloads including AI/ML, lakehouses, data lakes and data warehouses, so it can be deployed in public cloud, hybrid cloud or on-premises.
Elastic is also worth a look, especially if you need a full-featured search AI platform. It speeds time to insight and helps build personalized experiences by combining search and artificial intelligence to extract relevant insights from large amounts of data. The platform offers a variety of solutions including ELK Stack, Elastic Cloud, Generative AI and Observability, and is well suited to a variety of industries including the public sector, financial services and retail.
Last, SingleStore offers a real-time data platform that lets you read, write and reason on petabyte-scale data sets in milliseconds. It combines transactional and analytical data in a single engine, supporting high-throughput streaming data ingestion and multiple data models. That makes it good for intelligent applications, real-time analytics and SaaS applications, with flexible scaling and a universal store that combines columnstore and rowstore databases.