Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. A new research paper is now available that details the use of kdb+ for IoT applications – “Kdb+ and the Internet of Things/Big Data.”
Data Warehouse Service (DWS) provider BitYota recently announced latest release of its flagship DWS for Big Data analytics. This update delivers the platform’s data collection framework, an in-database processing pipeline for ELT (extract-load-transform), enhanced resource management and platform-specific improvements to further boost analytics performance.
Aerospike Inc. is fueling innovation, making it possible for organizations to speed the development of a whole new category of real-time, data-driven applications and lucrative business models that were not previously possibly. Today, both startups and enterprises require revolutionary database technology that delivers unlimited scale at blazing speeds, and Aerospike is delivering on that demand with unrivaled price performance ratios that exceed other options.
MongoDB has announced the acquisition of WiredTiger Inc., an innovator in database storage engine technology. WiredTiger will contribute to the performance, scalability, and hardware efficiency of MongoDB for all users with the upcoming release, MongoDB 2.8. Terms of the transaction were not disclosed.
With the big data education resource below, you can learn about data modelling in a NoSQL environment.
FoundationDB®, the company behind database software that combines scalability and consistency, has announced version 3.0 of its flagship product, the FoundationDB Key-Value Store. Version 3.0 offers enhanced performance and monitoring capabilities while maintaining transactional integrity, scalability and fault tolerance for operational workloads in the cloud or on premise.
Download this whitepaper today to learn best practices for deploying GPFS-FPO as a file system platform for big data analytics. The goal of this paper is to guide the administrator through various decision points to ensure optimal configuration based on the Hadoop application components being deployed.