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Apache Trafodion
Apache
Trafodion
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QQ (Group ID: 233105278)
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Features
Architecture Overview
ANSI Schema Support
Automated Update Statistics
Bulk Unload
Event Handling
Hybrid Query Cache
Identity Column
Large Object (LOB)
Metadata Query Invalidation
Multi-Temperature Data
Native HBase Tables
Object-Oriented UDF Tutorial
Query Cancel
Privilege Checking
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Runtime Management System
Sequence Numbers
Skew Buster
Backup/Restore Utility
Metadata Cleanup Utility
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Hadoop-Scale with SQL Access
Running out of room with your current SQL solution? Starting a new operational application? Trafodion allows you to work in SQL at Hadoop-scale levels.
Fully Integrated with HBase and Hive
Trafodion provides SQL access to structured, semi-structured, and unstructured data allowing you to run operational, historical, and analytical workloads on a single platform.
News
We're working on release 2.4!
Check out the
Roadmap
page for planned content.
Apache Trafodion 2.3.0 was released February 28, 2019.
Check it out on the
page.
Apache Trafodion 2.2.0, our first release as a Top Level Project, was released on March 12, 2018.
Check it out on the
page.
Apache Trafodion is now a Top Level Project!
See the
NewsWire
article for the official announcement.
See also this nice
article
where Trafodion's own Suresh Subbiah spreads the word on Trafodion's features.
Apache Trafodion 2.1.0-incubating was released on May 1, 2017.
Want to discuss Trafodion in Chinese? Join the Trafodion discussion on Tencent QQ!
QQ
Group ID: 233105278.
About
Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.
The name "Trafodion" (the Welsh word for transactions, pronounced "Tra-vod-eee-on") was chosen specifically to emphasize the differentiation that Trafodion provides in closing a critical gap in the Hadoop ecosystem.
Trafodion builds on the scalability, elasticity, and flexibility of Hadoop. Trafodion extends Hadoop to provide guaranteed transactional integrity, enabling new kinds of big data applications to run on Hadoop.
Key Features
Full-functioned ANSI SQL language support
JDBC/ODBC connectivity for Linux/Windows clients
Distributed ACID 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
Key Benefits
Reuse existing SQL skills and improve developer productivity
Distributed ACID transactions guarantee data consistency across multiple rows and tables
Interoperability with existing tools and applications
Hadoop and Linux distribution neutral
Easy to add to your existing Hadoop infrastructure
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What makes Trafodion unique
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