Clustrix, provider of the scale-out database designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s Web applications, announced the availability of version 8.0 of its software.
GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, announced the availability of the GridGain Professional Edition 1.7, a fully supported version of Apache Ignite 1.7.
Teradata Everywhere™ Announced – Massively Parallel Processing Analytic Database Available Everywhere
Teradata (NYSE: TDC), a leading analytics solutions company, announced Teradata Everywhere™, an industry first that brings the world’s most powerful massively parallel processing (MPP) analytic database to multiple public clouds, managed cloud, and on-premises environments.
VoltDB, the database purpose-built for fast data applications, announced it has completed integration with Teradata (NYSE: TDC) Listener™ software and certifies VoltDB v6.4 with Teradata Listener version 1.1.
Huawei bands together with Alluxio to announce the release of their big data storage acceleration solution, integrating Huawei’s FusionStorage with Alluxio’s memory-speed virtual distributed storage system.
SAP SE (NYSE: SAP) unveiled SAP® BW/4HANA, a next-generation data warehouse application for running a real-time digital enterprise.
NooBaa Announces Frictionless Storage for Unstructured Data, Based on Innovative Orchestration Architecture
NooBaa, a software-defined-storage (SDS) company, announced the availability its frictionless storage solution. NooBaa software allows enterprises with storage capacity challenges to create a secure, high-performance storage solution across any compute resource available.
Should the data warehouse be deployed on the cloud? IDC addresses this question on a regular basis. As adoption of cloud software increases, organizations of all sizes across industries and geographic regions are evaluating and assessing the opportunities and challenges of deploying software on the cloud. Data warehousing solutions are no exception to this trend.
This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
With a traditional data warehouse powering big data, it’s not unusual for data loads and complex queries to run for days, which hinders the analytical process. Plus, these data warehouse environments are often designed to analyze structured data only, and not valuable unstructured data generated from new external sources such as social media and mobile computing.