The best benchmark to assess the capabilities of a database for BI/Analytics workloads is the TPC-DS benchmark. While the deep integration with Apache ORC and performance tuning of EsgynDB for TPC-DS type workloads is still very early in its maturity cycle, the results are already very impressive. While for the operational benchmarks there was really no established competitor to compare the performance against, for TPC-DS we used Hive, using the Tez engine against ORC to compare the performance against EsgynDB. [...]
Introduction Apache Trafodion (Incubating) and EsgynDB (commercial version from Esgyn) support data visualization tools such as Apache Zeppelin and Tableau with standard JDBC/ODBC connectivity. In this article, we focus on walking you through the steps in leveraging Apache Zeppelin as a data visualization tool on top of Trafodion. Apache Zeppelin is a modern web-based tool for the data scientists to collaborate over large-scale data exploration and visualization. Large scale data analysis workflow includes multiple steps such as data acquisition, [...]
Though Maturing, Hadoop Ecosystem Has Room to Grow With the recent announcement of Hortonworks offering Apache HAWQ as Hortonworks HDB, the ecosystem around Hortonworks and Hadoop is continuing to evolve. As a 10-year old, Hadoop has become a critical foundation for many Big Data initiatives at most global enterprises even when its relevance is questioned time to time with latest innovations in Big Data technologies. As the foundational technologies continue to become better, and innovations continue to add value or [...]
Everybody's Doing It Moving away from MapReduce has become the trend in a quest for reducing the complexity of building and maintaining MapReduce jobs and increasing performance, while leveraging existing IT resources. The move from MapReduce has many angles to it and should be treated as a strategic decision on how to move away and what should replace MapReduce jobs and for what workloads, while considering the strategic role of Hadoop to enable data monetization for an enterprise. MapReduce is a critical [...]
Using Docker to Install Apache Trafodion We are excited to announce the availability of Apache Trafodion 2.0 (Incubating) on Docker. Developers around the world can now easily install a single node version of Apache Trafodion on their Linux boxes in a snap. Apache Trafodion and EsgynDB (commercial version supported by Esgyn) enable you to use SQL on Hadoop and reduce or remove the need for MapReduce jobs to access and process the data. A key differentiation of Apache Trafodion when [...]
A common use case for Trafodion in the IoT (Internet of Things) space, in telecommunications and internet security is a very large single table, recording real-time events. Customers want to ingest new data at a fast rate, perform queries and age out obsolete data.
Introduction to EsgynDB Manager, a web-based enterprise management tool for EsgynDB.EsgynDB Manager allows you to monitor key aspects of your EsgynDB environment, manage queries, view detailed statistics, generate alerts, browse database objects, and much more.
It's easy to migrate your data from Oracle, MS SQL, DB2 to EsgynDB (powered by Apache Trafodion). Learn about the different migration strategies available for EsgynDB.
Learn about how the Apache Trafodion transaction manager delivers a truly distributed cross cluster transaction manager on Hadoop.
Learn how to create a near-real time stream processing workflow using Apache Kafka, Trafodion, HBase, and Hadoop without much effort.
The Apache Trafodion (Incubating) project just announced that it completed its first release as an Apache incubator project. Trafodion 1.3 includes many new bug fixes, new features, and a revamped Apache Trafodion Website.
Describes how Apace Trafodion and EsgynDB support the Hibernate ORM, an object-relational mapping framework for Java that provides mapping for an object-oriented domain model to a relational database such as Trafodion.