MapR Technologies announced the addition of Apache Drill 0.5 to
the MapR Distribution including Hadoop. Bringing next-generation ANSI
SQL to Hadoop, Apache Drill provides instant, self-service data
exploration across multiple data sources including modern
applications.
“Organizations want to provide access to data stored in Hadoop
and NoSQL databases to a broader set of users with existing SQL
analysis skills,” said Matt Aslett, research director, data
platforms and analytics, 451 Research. "Apache Drill's ability
to provide access to data in Hadoop without the need for centralized
schemas and also to NoSQL datasets with complex data structures
including nested and repeated fields differentiates it
from traditional approaches to SQL-on-Hadoop."
Apache Drill provides the flexibility to immediately query complex
data in native formats, such as schemaless data, nested data,
and data with rapidly-evolving schemas, with minimal IT
involvement. Because SQL queries can run directly on various
file formats, live data can be explored as it is coming in, versus
spending weeks preparing and managing schemas and setting up ETL
tasks. Additionally, Apache Drill supports ANSI SQL so users can
easily leverage their SQL skills and existing investments in business
intelligence (BI) tools.
“The vision and innovation that the Apache Drill community has
brought to the marketplace heralds a new era of data exploration,”
said John Schroeder, CEO and cofounder of MapR Technologies.
“The agility to directly query self-describing data and the
flexibility to process complex data types push the envelope in big
data analysis and insight. We are extremely excited by the potential
of Drill to transform data-driven companies.”
Comments
Post a Comment