Computer Software - San Jose, California, United States
Xcalar's serverless relational compute platform interactively builds data apps with production ML/AI at cloud-scale. Its patented technology works directly on data without putting it into a database. Xcalar's sophisticated IDE supports SQL & Python to develop, test, and deploy data applications, improve productivity by 5x, and reduce cloud TCO by 10x when querying TBs to PBs of data. Data Apps & DWs can be developed with real-time streaming Kafka, enabling real-time BI queries with strong transactional consistency, and dovetailing them into scale-out infrastructure. Xcalar's DW-as-Code paradigm empowers developers to build flexible and programmatic data apps and warehouses on laptops, desktops or VMs, that can scale to 100s of nodes, 1000s of users and petabytes of data. Xcalar provides a sophisticated set of tools to operationalize and monitor production systems for meeting business SLA requirements. Xcalar is an ultramodern play on databases. Its relational compute engine operationalizes ML, performs statistical & numerical analysis, and uses SQL coupled with language agnostic structured programming (Python, JavaScript, Scala, C/C++). Xcalar provides industry's first IDE for building data apps and warehouses iteratively and interactively. A compelling user experience using imperative programming and eager execution allow development using the entire dataset, if required. Enterprise features include Kerberos security, checkpoints, snapshots, backup, archival, and recovery.
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