FinDEVr LD 2017 / LeanXcale

Presenter Profile

LeanXcale is a startup database vendor, developing an ultra-scalable full SQL operational database supporting full ACID transaction and scaling to thousands of nodes and millions of transactions per second. In a single database, LeanXcale combines operational and analytical capabilities, delivering real-time Big Data. LeanXcale exhibits unique polyglot capabilities. It is able to integrate its ultra-scalable transactional technology and query engine with NoSQL databases and answer polyglot queries across them. LeanXcale leverages its own ultra-efficient scale-out storage engine, which is vectorial, fully elastic and highly available. It efficiently handles both operational and analytical workloads in any combination.

Presentation

Blending Operational & Analytical Capabilities for Fintech Data Intensive Applications

The goal of this presentation is to introduce a new technological trend, Hybrid Transactional Analytical Processing (HTAP), and explain how it solves the main pains of Fintech data intensive applications, which have to deal with both operational data and real-time analytical queries. The talk will illustrate the ability of HTAP databases to cater to the needs of different Fintech applications and significantly simplify their architecture. The final part of the presentation will be devoted to the introduction to the LeanXcale database, one of the leading database engines in the HTAP space, a solution, which combines operational and analytical capabilities in an ultra-scalable full SQL database supporting full ACID transaction and scaling to thousands of nodes and millions of transactions per second, thus, delivering real-time Big Data.

What You’ll Learn

  • Fintech applications require real-time Big Data capabilities, i.e. an operational database able to deal with arbitray high loads and analytical query processing over large data volumes in real-time.
  • Hybrid Transactional Analytical Processing (HTAP) is a new trend providing the answer to Fintech applications’ needs.
  • Current approaches to real-time Big Data, such as lambda architectures, are extremely complex to create and maintain. HTAP delivers real-time Big Data with simple data architectures.

Presenter

Ricardo Jimenez-Peris, CEO & Co-Founder

linkedin.com/in/ricardojimenezperis  |  @LeanXcale  |  rjimenez@leanxcale.com  |  +34656682948

Doctor Ricardo Jimenez-Peris is a distinguished scientist, speaker, entrepreneur and co-founder of LeanXcale, who devoted 25 years of his scientific career to resolve the main bottleneck of the operational databases, transactional processing, in his position as director of Distributed Systems Laboratory at the Technical University of Madrid (UPM).


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