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Interview: Guavus Tackles Real-Time Data Analytics Across the Entire Enterprise

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Guavus uses live analytics with responsive queries to garner insightful business metrics to serve up competitive advantage. “Guavas is unique in its ability to provide an end-to-end view across your business and operations in real time. Our operational intelligence platform processes over 2.5 petabytes of data per day, which equals to 250 billion records per day and 2.5 million transactions per second.”

Interview: LC Technology International Stores Data in Cross-Platform Environments

When disaster strikes, lost data could cost you your business. LC Technology International is continually improving their data recovery products to meet these needs.

Interview: Continuent Manages Cross-Database, High-Speed Replication

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“The speed and flexibility of our core replicator solution and the companion Continuent Tungsten clustering solution offer advanced functionality in a simple and easily usable format. Tungsten Replicator supports high-speed replication between MySQL and Oracle databases in an open source product. Continuent Tungsten supports billions of transactions a day, with our largest single installation managing over 700 million transactions a day and over 225 terabytes of data. Key to all this is the ease of deployment and use, and the flexible nature of the solution, enabling cross-database replication, and advanced filtering not found in other products.”

Interview: ParStream Analyzes Billions of Records in Less than a Second

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“ParStream is a columnar database with a hybrid in-memory storage and a shared nothing architecture. Based on patented algorithms for indexing and compressing data, Parstream uniquely combines three core features: Analyzing billions of records in sub seconds, continuous fast import with up to 1 million rec/s and a flexible, interactive analytics engine with a SQL interface.”

Interview: NetApp and Policy-Based Data Management for the Enterprise

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“Key industries including healthcare, retail, telecommunication, media and entertainment, financial services and the government leverage NetApp solutions to manage large amounts of content, expand technology infrastructures without disrupting operations, and improve data-intensive workflows.”

Interview: A3CUBE Sets Sights on the Emerging Arena of High Performance Data

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“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”

Interview: Nexenta Seeks to Do Away with MESS

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“Software defined storage is a fundamental component of software defined data centers – the next step in the evolution of virtualization and cloud computing. In its simplest form, Software Defined Storage is about leveraging software only solutions to address storage challenges, from vendor lock-in, cost, performance, security, scale and manageability. A complete SDS portfolio enables customers to both optimize existing infrastructure and fully replace legacy configurations with industry standard hardware powered by software.”

Interview: Adaptive Computing Brings Big Workflow to the Data Center

Jill King

“Our thought process was that Big Data + a better Workflow = Big Workflow. We coined it as an industry term to denote a faster, more accurate and more cost-effective big data analysis process. It is not a product or trademarked name of Adaptive’s, and we hope it becomes a common term in the industry that is synonymous with a more efficient big data analysis process.”

Interview: Wise.io Sees Machine Learning Throughout the Entire Customer Lifecycle

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“Our main differentiator from other machine-learning companies is that we’re focused not just on high-performance algorithms, but on delivering an end-to-end application for business users. While we continue to push boundaries of cutting-edge machine learning technology, we made an early decision not to get sucked into the “algorithms arms race.” We hold a fundamental belief that the best analytics technologies will fail unless they can be implemented in a timeframe relevant to the business and interpreted by the ultimate decision makers.”

Interview: Real-Time Infrastructure for Finance from Lucera

Jacob Loveless

“This industry has been racing for latency, and no one has really won except hardware vendors. It’s been three years of pain and probably more to come for many. Now, the industry needs technology to be safer, more reliable, and more focused on performance. Lucera is acutely focused on each of these, while finally adding democratization to the world of infrastructure. We allow firms to focus on what really matters – what adds value to their business – while we uncover their operational alpha and decrease latency across the board.”