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Kinetica Delivers Advanced In-Database Analytics, Opening the Way for Converged AI and BI Workloads Accelerated by GPUs

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SAN FRANCISCO--(BUSINESS WIRE)--Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced the availability of in-database analytics via user-defined functions (UDFs). This industry-first capability makes the parallel processing power of the GPU accessible to custom analytics functions deployed within Kinetica. This opens the opportunity for machine learning/artificial intelligence libraries such as TensorFlow, BIDMach, Caffe, and Torch to run in-database alongside, and converged with, BI workloads. Kinetica also introduced its extensible and flexible'Reveal' visualization framework for interactive, real-time data exploration. Kinetica's advanced in-database analytics make it possible for organizations to affordably converge Artificial Intelligence, Business Intelligence, Machine Learning, natural language processing, and other data analytics into one powerful platform.


Kinetica Could Boost NVidia In $70B Big Data Market

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Just because you start a company and raise tens of millions of dollars to fuel it's growth, there's no guarantee you have what it takes to build a large company. In fact, some 60% of founders do not survive their Series D round of venture funding. This comes to mind in considering San Francisco-based database supplier, Kinetica. Founded in 2009, Kinetica raised $50 million in June 2017 -- bringing its total funding to $63 million. Six months later, Kinetica's board replaced the its cofounder and CEO -- Amit Vij -- with Paul Appleby, an experienced sales executive.


Kinetica v6.1 is Now Available - Kinetica

@machinelearnbot

We're excited to announce the release of Kinetica, version 6.1 – our second major release of the year.


Qlik announces SMB cloud solution; Kinetica combines AI and BI ZDNet

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The analytics world continues to add breakthrough technologies, provide more integrated offerings and package them up for use by both large and small organizations. Qlik, which just recently announced that it was acquiring GIS player Idevio and integrating location analytics capabilities into its product, is now taking its Qlik Sense Cloud offering and making it available to a broader audience. Previously available for Enterprise customers, the Software as a Service (SaaS) offering is now available to small and medium businesses (SMBs), groups and teams as Qlik Sense Cloud Business. Qlik's nitty gritty Unlike Qlik's original QlikView product, which provides a native desktop interface, Qlik Sense sports an HTML 5 Web browser-based interface and, as such, is well-suited to packaging in SaaS form. Qlik is apparently very serious about the cloud.


Fuzzy Logix and Kinetica to Provide Enhanced GPU-Accelerated In-Database Analytics

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WIRE)--NVIDIA GPU Technology Conference - Fuzzy Logix, Inc., provider of high performance, in-database analytics, and Kinetica, provider of the fastest GPU-accelerated database, today announced a partnership to offer a joint solution that will allow customers of both companies to leverage high performing advanced analytics with acceleration of 100-500x on 1/10th the hardware over CPU-only based solutions. The joint solution will initially be targeted at the most time-sensitive and compute-heavy applications in financial services, retail, and healthcare, where speed and scale are critical for real-time data insights and competitive advantage. By combining technologies, Kinetica's in-database analytics capabilities will be extended by hundreds of additional GPU-accelerated and highly-parallelized, machine learning and predictive analytics algorithms from Fuzzy Logix. At the same time, those analytic functions will now also be able to take full advantage of Kinetica's distributed GPU pipeline via its User Defined Functions (UDFs). "Leveraging GPUs for analytical workloads is on the rise, particularly among financial services, life sciences and retail organizations that often deal in extremely large data volumes with high scaling and real-time processing requirements," said Jim Curtis, Senior Analyst, Data Platforms & Analytics at 451 Research.