Question: Do you know of a data management platform that can scale to 10 exabytes of data and provide linear scaling for compute and storage?

If you need a data management platform that can grow to 10 exabytes of data and offer linear scaling for compute and storage, WEKA is a top contender. WEKA is geared for high-performance workloads like AI and HPC, with top performance at 10M IOPS and the ability to scale to support enormous data sets. It's designed to minimize energy consumption and carbon emissions and to eliminate data silos and enable real-time analytical insights.

Another good choice is SingleStore, a real-time data platform that offers millisecond query performance and supports a variety of data models like JSON, time-series and geospatial data. It offers flexible scaling with read replicas for separate compute scaling and a universal store that combines columnstore and rowstore databases. SingleStore is good for applications that need high-throughput streaming data ingestion and real-time analytics.

Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premise environments. It combines large-scale data analytics with automated data pipelines and offers real-time insights. Cloudera's platform is built on Apache Iceberg and can be easily deployed and managed across multiple clouds for a data lakehouse, making it a good option for breaking down data silos and optimizing business operations.

Last, Teradata offers a flexible cloud analytics and data platform that supports a range of workloads like AI/ML, data lakes and data warehouses. Its flagship product, ClearScape Analytics, unifies and harmonizes data across an organization, providing faster answers and a clear view of data. Teradata VantageCloud offers trusted AI, flexible pricing and integration with big cloud providers, making it a good option for data-driven decision-making.