Our “Uber” Data booth at VMworld this year will demonstrate how VMware continues to address enterprise data management challenges related to scalability, data proliferation, traditional database performance bottlenecks, analytics, and the ever changing data usage patterns of today’s on-line applications.
At our booth, you can see and learn more about:
- SQLFire
- Data Director
- Hadoop/Serengeti
- Cetas
SQLFire
Elastic, in-memory database, accessible through a familiar SQL interface, designed specifically for speed and low latency. In this demo we will illustrate how to elevate traditional database performance bottlenecks while continuing to support legacy processes.
For VMworld Barcelona Attendees
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For more on SQLFire, check out APP-CAP1250 – Fast Data Meets Big Data:
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For more on Data Director, visit APP-CAP2341 – Accelerate Database Virtualization with VMware vFabric Data Director:
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Data Director
Empowering Database-as-a-Service in your Cloud through cost reduction and operational efficiency gains. This demonstration will show how Data Director provides a unified database-as-a-service platform that enables database administrators and cloud service providers to virtualize and automate lifecycle management of heterogeneous databases.
Serengeti
As an open source project, initiated by VMware, Serengeti enables rapid deployment of Hadoop clusters on virtual platforms while supporting high availability and distribution flexibility. This demonstration will showcase Serengeti capability to deploy a sizable Hadoop cluster with these unique value-add features in under 10 minutes.
Cetas
Cetas delivers Big Data scalable and high performance analytics platform driven by its state-of-the art algorithms. This demonstration will showcase Cetas’ unique end-to-end analytics platform from data ingestion, to data source connectors, to data processing and analytics, and visualization to recommendations.
There is so little space, and so much to share!
Come see how VMware continues to deliver the best platform for Big, Fast, and Flexible data in the Cloud.

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