We are LeanXcale
We are an innovative startup on big data management. The main innovation of the company is the result of over 15 years of research in scaling transactional data management. Our promise is that we will deliver disruptive innovations every 6 months during the next 2 years to become one of the leaders in the big data market.
LeanXcale is a real-time big data platform that can scale in any of the three Vs of Big Data (Volume, Velocity and Variety). It can scale in Volume (to 100s of terabytes), in data velocity (to million transactions per second, and millions of events per second) and even in data variety (structured, non-structured, key-value, streaming). Let us examine each of the facets separately.
May 8th, 2015 – San Francisco (California)
LeanXcale CEO, Dr. Ricardo Jimenez presents in the HBaseCon panel on “SQL solutions for Hadoop” the LeanXcale platform.
Feb. 17th, 2015 – Santa Clara (California)
Ricardo Jimenez-Peris gives a talk about LeanXcale Hadoop database at Bay Area HBase meetup. He presented how an ultra-scalable full SQL full ACID relational database has been built on top of Apache HBase by adding an ultra-scalable transactional manager and a scale-out query engine layer to process both OLTP and OLAP queries.
Feb. 23rd, 2015 – Cloudera premises, Palo Alto (California)
Dr. Ricardo Jimenez-Peris, LeanXcale CEO, was invited to give a tech talk at Cloudera premises in Palo Alto California after the Strata Hadoop world conference held in San Jose on 23rd February 2015. The talk presented how LeanXcale brings Hadoop to the operational database world providing an ultra-scalable Full ACID Full SQL database on top of Apache HBase and Apache HDFS.
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LeanXcale is a startup coached by EIT Digital
LeanXcale has been partially funded by Spanish CDTI under grant SNEO-20151285
LeanXcale has been supported by the Spanish Ministry of Economy and Competitiveness
LeanXcale has been partially funded by the European Commission under grants CoherentPaaS (project # FP7-611068), LeanBigdata (project # FP7-619606) and Vineyard (project # H2020-687628)