Xcalar Data Platform and Xcalar VDW are architected based on core data virtualization concepts, and resulted in our data virtualization technology, True Data In Place™.
Data silos make data access difficult and slow down the analytics process. Common practices are to copy data to the data lake or federate queries to source databases. The techniques come with some limitations, for example copying is slow and risks synchronization issues, and query federation adds significant load to underlying databases and impacts their SLAs.
Using True Data In Place™, Xcalar Data Platform and Xcalar VDW work with diverse data sources in their original locations, leveraging metadata to optimize data processing performance on petabyte-scale data and to minimize network use. Unlike other virtualization solutions, Xcalar Data Platform and Xcalar VDW provide advanced data modeling and transformation capabilities, including visual modeling tools to empower non-IT users to combine data from different sources and accelerate the analytics process.
Xcalar products work directly with source data files without copying data into an internal format.
Xcalar products support all major cloud and on-prem storage, including Microsoft Azure Storage, Amazon S3, Google Cloud Storage, HDFS, and Kafka, as source or export locations.
Xcalar products meet processing and storage needs for sustained and burst workloads by scaling compute and storage independently.
Xcalar products work with structured, semi-structured, or unstructured source data of any format.
Xcalar products provide connectors to or from real-time and streaming data sources for low-latency or high-throughput processing of data.
Dataflows provide an auditable way to provide detailed information about schemas, distribution of data across nodes, hash coloration, and data skew.
Many users concurrently access data via optimized JDBC queries using BI applications, such as Tableau, Qlik, and Power BI.
Xcalar products’ scale-out compute architecture provides the highest level of performance achievable for both read and write operations, and it provides near-linear scalability across thousands of servers.
Xcalar products use more than just server memory; they prioritize use of the entire memory hierarchy–DRAM, SSD, and disk. Active data is automatically prioritized and stored in memory, while inactive data is pushed to SSD and disk.
Administrators tune Xcalar clusters using dashboards that describe resource utilization, workload operationalization, and data skew within a cluster.
Xcalar products support integration with Kerberos, LDAP, OAUTH, and custom authentication services for authentication and user management.
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