Cloudera’s Analytic
Database Enables Unrivaled Elastic Scale, Agility, and Performance for BI and
Analytics in the Cloud
Database Enables Unrivaled Elastic Scale, Agility, and Performance for BI and
Analytics in the Cloud
Head-to-head Benchmark Shows Apache Impala (incubating) Delivers
Greater Cloud-Native Capabilities as well as Better Price Performance on AWS
Compared to Amazon RedShift
Greater Cloud-Native Capabilities as well as Better Price Performance on AWS
Compared to Amazon RedShift
SINGAPORE, September 28, 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 released benchmark results that validate
Cloudera’s modern analytic database solution, powered by Apache Impala
(incubating), which not only delivers unprecedented capabilities for
cloud-native workloads but does so at better cost performance compared to
alternatives. Impala uniquely offers elastic scalability, better flexibility, and
direct Amazon S3 queryability unavailable from traditionally-architected
systems such as Redshift. With a modern design, Impala decouples data and
compute to provide the same high-performance SQL analytics whether
cloud-natively over data in S3 or across a wide range of on-premise and cloud
storage options. Furthermore, Impala enables all these capabilities while also
delivering up to 275% more cost-efficiency and up to 10x greater performance
compared to Amazon’s analytic database, Redshift, equating to more value all
within an open platform.
secure data management and analytics platform built on Apache Hadoop and the
latest open source technologies, today released benchmark results that validate
Cloudera’s modern analytic database solution, powered by Apache Impala
(incubating), which not only delivers unprecedented capabilities for
cloud-native workloads but does so at better cost performance compared to
alternatives. Impala uniquely offers elastic scalability, better flexibility, and
direct Amazon S3 queryability unavailable from traditionally-architected
systems such as Redshift. With a modern design, Impala decouples data and
compute to provide the same high-performance SQL analytics whether
cloud-natively over data in S3 or across a wide range of on-premise and cloud
storage options. Furthermore, Impala enables all these capabilities while also
delivering up to 275% more cost-efficiency and up to 10x greater performance
compared to Amazon’s analytic database, Redshift, equating to more value all
within an open platform.
Using queries from the TPC-DS industry standard
benchmark, Cloudera compared Impala running on the cloud (both cloud-natively
over S3 and over local EBS storage) to Amazon Redshift (only able to run over
its own storage on dedicated AWS instances). Results from the benchmark show:
benchmark, Cloudera compared Impala running on the cloud (both cloud-natively
over S3 and over local EBS storage) to Amazon Redshift (only able to run over
its own storage on dedicated AWS instances). Results from the benchmark show:
● Impala is over 200% less costly and over 10x faster on S3
compared to a general purpose tuned Redshift
compared to a general purpose tuned Redshift
● Impala is still 8% less costly and 90% faster on S3 compared
to a pre-tuned Redshift for specific fixed reporting queries
to a pre-tuned Redshift for specific fixed reporting queries
● Impala is 28-275% less costly and 42-400% faster on EBS
compared to either pre-tuned or general purpose tuned Redshift
compared to either pre-tuned or general purpose tuned Redshift
“Increasingly our customers are looking to move
BI and analytic workloads to cloud environments to tap into the
cost-effectiveness of elastic scale and greater flexibility. But they still
require the high-performance analytics and big data agility they’re used to
on-premises,” said Charles Zedlewski, Vice President, Products, at Cloudera.
“Impala brings all its advantages it has over traditional, on-premise analytic
databases to the cloud with a modern architecture that enables unprecedented
agility no matter where the data lives. This comparison is clear evidence that
Impala is unmatched for these BI and analytic workloads in the cloud.”
BI and analytic workloads to cloud environments to tap into the
cost-effectiveness of elastic scale and greater flexibility. But they still
require the high-performance analytics and big data agility they’re used to
on-premises,” said Charles Zedlewski, Vice President, Products, at Cloudera.
“Impala brings all its advantages it has over traditional, on-premise analytic
databases to the cloud with a modern architecture that enables unprecedented
agility no matter where the data lives. This comparison is clear evidence that
Impala is unmatched for these BI and analytic workloads in the cloud.”
As businesses look to bring in more data from new sources,
actively adjust models based on changing needs, and iteratively design for a
variety of use cases, they need a modern analytic database that is built to
address these requirements, without hindering business productivity. The rigid
design and inelastic scale of traditionally-architected, monolithic systems,
whether on-premise or in the cloud, simply are not able to keep up with today’s
ever-changing business needs. Cloudera’s analytic database, powered by Impala
as the interactive SQL engine, is purpose-built to bring high-performance SQL
analytics to big data, with elastic scalability for cloud and on-premise
deployments, as and when it is needed.
actively adjust models based on changing needs, and iteratively design for a
variety of use cases, they need a modern analytic database that is built to
address these requirements, without hindering business productivity. The rigid
design and inelastic scale of traditionally-architected, monolithic systems,
whether on-premise or in the cloud, simply are not able to keep up with today’s
ever-changing business needs. Cloudera’s analytic database, powered by Impala
as the interactive SQL engine, is purpose-built to bring high-performance SQL
analytics to big data, with elastic scalability for cloud and on-premise
deployments, as and when it is needed.
Impala works natively with data stored on a number of storage
engines, including Amazon S3 object store, eliminating the need to move or load
data specifically into Impala clusters. Especially for cloud deployments, this
translates to cost-savings and efficiencies as transient clusters can be spun
up as needed for BI and reporting workloads and, with cost-effective storage
from S3, more data is quickly and readily available for analysis.
engines, including Amazon S3 object store, eliminating the need to move or load
data specifically into Impala clusters. Especially for cloud deployments, this
translates to cost-savings and efficiencies as transient clusters can be spun
up as needed for BI and reporting workloads and, with cost-effective storage
from S3, more data is quickly and readily available for analysis.
Advancing Impala’s performance, concurrency,
and scalability is a consistent area of focus for Cloudera. The company has
widened the performance gap between Impala’s analytic database architecture and
other alternatives for both single and multi-user workloads. The latest
release delivers 12x
better performance on secure workloads compared to its two prior versions.
Cloudera plans to continue expanding Impala’s value and price performance
benefits by adding support in the future for other object stores in the public
cloud.
and scalability is a consistent area of focus for Cloudera. The company has
widened the performance gap between Impala’s analytic database architecture and
other alternatives for both single and multi-user workloads. The latest
release delivers 12x
better performance on secure workloads compared to its two prior versions.
Cloudera plans to continue expanding Impala’s value and price performance
benefits by adding support in the future for other object stores in the public
cloud.
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