MUNICH, April 4, 2017 /PRNewswire/ -- DATAWORKS
SUMMIT/HADOOP SUMMIT — Hortonworks, Inc. (NASDAQ: HDP), a
leading innovator of open and connected data platforms, today
announced the general availability of Hortonworks Data Platform
(HDP®) version 2.6, which leverages open source innovations to
deliver enhanced enterprise features. HDP is the industry's only
true secure, enterprise-ready open source Apache™ Hadoop®
distribution that addresses the complete needs of data-at-rest,
powers real-time customer applications and delivers robust
analytics that accelerate decision making and innovation. With HDP
2.6, customers benefit from interactive query in seconds, enhanced
data science, enterprise-grade security and streamlined
operations—in the cloud and on-premises—to harvest value from their
data faster than previously possible.
"HDP 2.6 showcases the advantages of the open source community.
Significant innovation is coming out of the Apache community, and
because of our commitment to delivering an open platform, we are
uniquely able to bring these value-creating capabilities to
customers," said Scott Gnau, chief
technology officer at Hortonworks. "HDP 2.6 introduces key new
enterprise features and performance improvements that will benefit
our customers immediately—no application re-write required."
Hortonworks is the first in the industry to fully support Apache
Hive 2.0 with LLAP functionality for intelligent in-memory caching.
With the general availability of Hive with LLAP, customers will
benefit from a dramatic performance boost for SQL interactive
queries. In addition, HDP 2.6 introduces ACID merge functionality
to enable additional use cases for optimizing existing Enterprise
Data Warehouse investments without requiring all data to be
re-loaded.
In addition, HDP 2.6 includes the following new
capabilities:
- Data Science at Scale: Improved user experience for data
scientists with Spark 2.1 and the latest version of Zeppelin.
- Enterprise-Grade Security: Enhancements to Ranger and
Atlas include reduced sync time for customers with large user bases
and enhanced bulk addition of policies from one environment to
another via expanded tag-based policy support for Spark, Zeppelin,
HDFS, Kafka and Hbase.
- Streamlined and Proactive Operations: Easy configuration
of services and components when a cluster node restarts with the
latest version of Ambari, as well as immediate understanding of the
most frequent operations being performed. In addition, SmartSense
has been enhanced to automate the application of the
recommendations for cluster improvement.
Hortonworks Data Platform 2.6 Offers Customers Complete
Flexibility for Deployment
Hortonworks has delivered the industry's first connected data
architecture, allowing customers the flexibility to easily manage
and analyze data in the data center and in the cloud. With rapidly
growing cloud adoption, Hortonworks' "cloud-first" strategy
delivered HDP 2.6 first on Microsoft Azure HDInsight and
Hortonworks Data Cloud for AWS.
Additionally, HDP 2.6 is also available on IBM Power Systems.
The work Hortonworks and IBM are doing together, including their
support for ODPi, gives customers increased choice when selecting a
top-tier distribution for Hadoop and Spark and enables them to
fully exploit the performance, scalability and acceleration
capabilities of the POWER8 platform. With multiple deployment
options in any environment, customers benefit from increased choice
for HDP.
Supporting Quotes
- "There is a need to improve SQL performance and support, along
with Spark adoption in Hadoop related workloads. A key enhancement
is the addition of Upsert support, which is essential for building
confidence in data currency and making Hadoop BI-ready. Backing
Hive with LLAP and Spark 2.1 should produce the kinds of service
levels that BI users expect. With the 'cloud-first' strategy,
Hortonworks is going where more and more new Hadoop workloads are
heading." – Tony Baer,
Principal Analyst, Ovum
- "At Geisinger Health System, we're using HDP to optimize our
enterprise data warehouse, with the immediate goal of enriching
clinical data with additional data such as billing and claims
records. Apache Hive is a key part of that optimization program.
Over the past several months, we've been running a preview version
of Hive with LLAP, and we've seen dramatic improvement to query
performance. Traditionally, Hive has performed well on more complex
SQL but has been challenged with quicker response time queries.
LLAP has shown significant improvement in this area. Benchmark
queries have run in half or in a quarter of the amount of time as
compared to production Hive. Our team looks forward to making that
speed and efficiency available throughout our environment as we
tackle other use cases such as precision medicine and genomic
marker analysis." – Mark
Mossel, Director of Enterprise Data Management, Geisinger
Health System
- "At The Hanover, our strategy is focused around modern,
business-led analytics and driven by and for the business.
Hortonworks Data Platform is an important part of that strategy,
and we're looking forward to the new HDP 2.6 functionality. We're
particularly excited to see the enhancements in Spark 2.1, which is
included in HDP 2.6." – Srinivasan Sankar, Data Office Lead, The Hanover
Insurance Group
- "Enterprise customers are looking to run high-performance
analytics and cognitive applications on a data platform that
provides exceptional memory and I/O capabilities for fast data
access and data movement. By providing HDP 2.6 on IBM Power
Systems, we offer customers more choice for building a data
platform that will deliver superior throughput and acceleration
capabilities for demanding use cases." – Terri Virnig, Vice President, Power Systems
Ecosystem and Strategy, IBM
Further Reading
HDP 2.6 for the data center
https://hortonworks.com/products/data-center/hdp/https://hortonworks.com/products/data-center/hdp/
HDP 2.6 for the cloud
https://hortonworks.com/products/cloud/
Hive 2.0 with LLAP performance benchmarks
https://hortonworks.com/blog/apache-hive-vs-apache-impala-query-performance-comparison/
About Hortonworks
Hortonworks is an industry-leading
innovator that creates, distributes and supports enterprise-ready
open data platforms and modern data applications that deliver
actionable intelligence from all data: data-in-motion and
data-at-rest. Hortonworks is focused on driving innovation in open
source communities such as Apache Hadoop, Apache NiFi and Apache
Spark. Along with its 2,100+ partners, Hortonworks provides the
expertise, training and services that allow customers to unlock
transformational value for their organizations across any line of
business.
Hortonworks, Powering the Future of Data, HDP and HDF are
registered trademarks or trademarks of Hortonworks, Inc. and its
subsidiaries in the United States
and other jurisdictions. For more information, please visit
www.hortonworks.com. All other trademarks are the property of their
respective owners.
Hortonworks Contact
Michelle Lazzar
(408) 828-9681
comms@hortonworks.com
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SOURCE Hortonworks, Inc.