Cloudera Accelerates Customer Success by Enabling Production-Ready Big Data Analytics Across Multiple Cloud and Hybrid Cloud Environments

Cloudera Accelerates Customer Success by
Enabling Production-Ready Big Data Analytics Across Multiple Cloud and Hybrid
Cloud Environments

With Significant Advancements for Transient and Persisted Clouds,
Customers Now Have More Choice in How They Extract Value from the Business Data

SINGAPORE, October 4, 2016 —Cloudera, the global provider of the fastest, easiest,
and most secure data management and analytics platform built on Apache Hadoop
and the latest open source technologies, today announced new technology enhancements
to its core platform that will make it easier for companies to use elastic,
on-demand cloud infrastructure to gain significant business value from all
their data. The company also announced it is generating significant momentum
with customers running production environments on public cloud infrastructure.

The move to cloud is a
top priority for CIOs in 2016 across the globe. According to a Gartner Survey
Analysis: Cloud Adoption Across
Vertical Industries Exhibits More Similarities Than Differences, February 2015, IT
spending on public cloud is growing at a five-year CAGR of 18% through 2018 –
further evidence that cloud spend is far outpacing IT spend with no signs of
slowing down.

Another industry analyst, Tony Baer of
Ovum is on record saying that the cloud is where the next wave of Hadoop
take-up is going to happen. More specifically: “Ovum believes that appliances
and cloud deployment will drive the next major adoption wave of Hadoop and big
data analytics.”

“We are using Cloudera
Enterprise on AWS to capture and process thousands of critical events at scale
to provide our banking clients with unique insights about their customers that
drive revenue growth,” said Kaushik Deka, chief technology officer and director
of engineering for Novantas. “In addition to their leadership on Hadoop and
Spark, working with Cloudera also gives us the flexibility to deploy the application
in the environment of our choice. We use Cloudera Director to launch on AWS,
but we also maintain a hybrid environment for clients who don’t want their data
in the public cloud.”

A significant number of
enterprise companies – including Adecco, Airbnb, GoPro, Nielsen, Novantas and others – are runningCloudera Enterprise on
public cloud infrastructure.
Reasons for deploying in a hybrid, multi-cloud, or single cloud service often
include the desire to do the following:

●      Reduce the cost associated with purchasing,
configuring, and maintaining on-premises hardware required to run big data
applications

●      Increase the ability for data engineers and data
analysts to respond to business problems through self-service provisioning

●      Meet strategic objectives to “move to the cloud”
to reduce a company’s owned data center footprint

“Helping our customers
win in the cloud is a key strategic objective for Cloudera. Today our
enterprise platform is uniquely positioned to support any kind of big data
workload in the cloud, whether transient or long-lived, handling batch jobs in
support of building data ingest pipelines or supporting advanced SQL analytics
and complex event processing. We deliver true elasticity, scaling to handle
workloads on demand, and offering consumption-based pricing that users expect
in the cloud,” said Mike Olson, co-founder and chief strategy officer of
Cloudera. “Delivering this customer success requires providing companies with
choice in where they run their workloads. They need the ability to react
quickly to changing business demands on a platform in a manner that’s secure
and meets strict guidelines for data governance.”

Cloudera continues to
drive customer success in the cloud by enabling production-ready big data
analytics optimized to run across modern IT environments. Cloudera Enterprise 5.8 enables customers to run Apache Impala (incubating)
against popular cloud-native object stores including Amazon S3. This means
customers can now run high-performance SQL analytics and BI workloads on data in Amazon S3 without having to transform or move that data to
another location on Amazon Web Services (AWS). Today, Cloudera customers can
also use processing and query engines Apache Hive, Apache Spark, and
Hive-on-Spark (typically 3x faster than Hive on MapReduce) directly against
data in Amazon S3.   

For Microsoft Azure
customers who use PowerBI Desktop to build reports, Microsoft recently
announced a new preview connector for
Impala. This allows customers
to use the speed of Impala to pull large volumes of data, of varying types and
sizes, into their analytic dashboards and make it accessible to any number of
users.

“We continue to see
sizeable demand for Cloudera Enterprise, as Azure customers realize the impact
that big data analytics in the cloud can have on their business,” said Jeana
Jorgensen, general manager at Microsoft.
“The Microsoft and Cloudera engineering teams worked closely to develop the new
Director plugin for Azure, and we’re excited to provide our customers with a
fast, easy way to deploy and manage the lifecycle of Cloudera Enterprise on
Azure.”

Another growth area for
cloud is the interest in multi-cloud and hybrid architectures. Increasingly
companies want to be able to run certain workloads on-premises and other
workloads in the cloud either for additional scale, for development and
testing, or to comply with service-level agreements or industry regulations. At
the same time, customers want to reduce their risk by not locking their data
into a specific cloud service offering.

Cloudera Director makes it easier for customers to deploy and
manage the lifecycle of Cloudera Enterprise clusters across cloud environments.
Customers can select from templates for AWS, Google Cloud Platform, and now
Microsoft Azure for rapid provisioning and cluster grow/shrink and terminate
along with the ability to monitor and manage all clusters from a single unified
interface. Additional features of Cloudera Director now include:

●      Integrated usage meter with automated billing
for a pay-as-you-go computing experience to go along with node-based pricing in
the cloud

●      Ability to deploy into multiple regions and
availability zones from a single Cloudera Director instance

●      Availability to deploy Cloudera Director via the
Azure Marketplace coming soon

●      Support for spot instance and preemptible
instance provisioning

Cloudera is the only
Apache Hadoop-based data management and analytics platform to support
production workloads in hybrid cloud environments and was recently ranked number
five on the Forbes Cloud 100 List. Hadoop in the cloud will be a key theme during Strata+Hadoop World New York, September 27-29. During his keynote,
Mike Olson will discuss how the cloud is driving the democratization of big
data. In another keynote, James Powell, chief technology officer at Nielsen, a
Cloudera customer, will talk about how they’re running big data analytics in a
multi-cloud architecture to move faster and manage risk.