As for the use of SQL, Nakamura has a very simple explanation: SQL is 10x Java, and it represents a must-have for the development world. If Hadoop crosses over into the mainstream skills set, SQL ...

For businesses that want to run analytics on low-cost Hadoop clusters, fully compliant SQL is now possible natively on the big data platform, according to Actian.

On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing ...

In a previous article, we discussed several key advances in SQL on Hadoop that are making Big Data capabilities increasingly accessible to analytics organizations. While SQL democratizes Big Data by ...

In a live interview at Strata 2013, Howser stated that Hadapt believes “the worlds of SQL and Hadoop will converge” sometime into the future. Therefore, Hadapt’s efforts to bringing SQL to ...

A new benchmark of SQL-on-Hadoop engines Impala, Spark and Hive finds they each have their own strengths and weaknesses when it comes to Business Intelligence (BI) workloads.

Today Concurrent, the company behind the Cascading Hadoop abstraction framework, announced a new trick to help developers tame the elephant. The company, which is focused on simplifying Hadoop, has ...

Altiscale's Hadoop-as-a-service in the cloud now has SQL querying courtesy of Apache's Hive project Altiscale, maker of a cloud-hosted Hadoop solution, is expanding its service to include running ...