Hi, In terms of competitive analysis, most Hadoop-based database engines such as Phoenix, Impala are targeted at analytics workloads. There are no Hadoop-based open source alternatives to commercial RDBMS for OLTP workloads. Trafodion was designed to fill that gap and is targeted at operational workloads that require full ACID transaction support. Please visit the wiki to learn more. And if you have any specific Trafodion question, I encourage you to reach out via Trafodion wiki mailing lists. https://wiki.trafodion.org/wiki/index.php/Mailing_Lists
Thanks Rayees On Wed, Jun 11, 2014 at 5:24 PM, Justin Workman <[email protected]> wrote: > This project looks interesting. I would love to see the comparison as well. > > Thanks > Justin > > Sent from my iPhone > > > On Jun 11, 2014, at 6:13 PM, Liam Slusser <[email protected]> wrote: > > > > Thanks for open sourcing this! Awesome. So what advantages does > Trafodion > > have against Apache Phoenix or Cloudera's Impala? > > > > thanks, > > liam > > > > > >> On Wed, Jun 11, 2014 at 4:33 PM, Stack <[email protected]> wrote: > >> > >> Nice. Congrats on open sourcing Dave and team. > >> St.Ack > >> > >> > >> On Wed, Jun 11, 2014 at 2:57 PM, Birdsall, Dave <[email protected]> > >> wrote: > >> > >>> Hi, > >>> > >>> The cat is already out of the bag on Trafodion on this dlist (and we > are > >>> very happy about it actually). But, here's an official announcement > >> anyway. > >>> > >>> Hewlett-Packard is pleased to announce the release of project Trafodion > >> as > >>> an open source project. Trafodion is a transactional SQL engine that > runs > >>> on top of HBase. > >>> > >>> Among the features it provides: > >>> > >>> -- Full-functioned ANSI SQL language support > >>> > >>> -- JDBC/ODBC connectivity for Linux/Windows clients > >>> > >>> -- ACID distributed transaction protection across multiple statements, > >>> tables and rows > >>> > >>> -- Performance improvements for OLTP workloads with compile-time and > >>> run-time optimizations > >>> > >>> -- Support for large data sets using a parallel-aware query optimizer > >>> > >>> If you'd like to know more, please visit our wiki, www.trafodion.org. > >>> > >>> Thanks, > >>> > >>> Dave Birdsall (for the Trafodion team) > >> >
