Kyligence,
originator of Apache Kylin and developer of the AI-augmented analytics platform
Kyligence Cloud, announced the immediate availability of Kyligence Cloud
4, its new cloud-native distributed big data analytics platform.
Available on Microsoft Azure and
Amazon AWS, Kyligence Cloud 4 leverages cloud-native concepts such as the
separate scaling of compute and storage to enable fast, scalable and
highly concurrent analytics against cloud data warehouses and
data lakes. It combines high performance and high concurrency OLAP, a
cloud-native architecture, and auto-optimization using machine learning
algorithms to simplify and automate cloud analytics. Kyligence Cloud 4 can
routinely deliver sub-second query response times against datasets of hundreds
of terabytes to petabytes.
"I'm very excited about our
partnership with Kyligence," said Brian Parone, CTO, risk technology at UBS.
"Kyligence Cloud is a foundational technology at the heart of our centralized
reporting platform built upon our Azure-based data lake. Now, for the first
time, we are able to combine our data from Risk, Finance, and Treasury creating
a unified reporting layer."
"As the race for unified analytics
heats up, Kyligence offers a solution that overcomes the challenges of querying
data in both data lakes and data warehouses located both in the cloud and on
premises," said John Santaferraro, research director for analytics, EMA. "While
this is being attempted by other vendors, Kyligence also solves the need for
high performance, real-time analytics required by digital business. Looking
forward, EMA expects Kyligence to further advance its use of artificial
intelligence in the platform to automate even more aspects of unified
analytics."
Kyligence Cloud 4 drastically reduces
cloud analytics costs by offloading processing from cloud data warehouses and
data lakes by employing distributed aggregate indexes - a cloud-native successor
to OLAP cubes. Kyligence Cloud also provides intelligent query routing and
Smart PushdownTM that ensures queries of all kinds are delivered with optimal
performance. With its Unified Semantic Service, Kyligence Cloud offers a
consolidated analytical view across enterprise data sources to build a single
expression of truth for business users.
Through the use of machine learning,
Kyligence Cloud's AI-augmented engine automatically identifies the most
frequently accessed datasets from SQL query history, analyst usage patterns,
data profiles, and runtime metrics and uses that intelligence to efficiently
rationalize analytical models. Kyligence Cloud has an intuitive administrative
user experience that significantly reduces operating and maintenance costs. In
addition, it dramatically increases the number of concurrent users conducting
data analytics on these platforms which is the best option to deliver
data-as-a-service to machine learning and SaaS analytics applications.
"When a significant proportion of your
IT budget is allocated to cloud services, significant performance gains
translate to pure savings in the cloud," said Li Kang, vice president of
North America, Kyligence. "Kyligence Cloud functions as a high performance data
service that delivers unified semantics and supports SQL, MDX, and REST
interfaces. Our mission is to follow a cloud-native approach to enable
data engineers and SQL experts to build high performance into the datasets they
curate."
Key features of Kyligence Cloud 4 include:
- Unified Semantic Service -
Abstracted from different data sources on cloud and performs as a
centralized data service for all kinds of analytics with one single data
view. It does not require the need to move all data from one source to
another. It's easy to architect a SQL service on top of Cloud Storage like
S3 directly, and with its complex calculation logic and security, ACL
settings are no longer tied to specific BI tools and
platforms. Instead, they are now available to all business users no matter
what BI tools they choose.
- AI-Augmented Engine - Machine
learning algorithms are used to continually improve performance by auto
indexing based on query history and user behavior. It also provides
automation of data modeling that can drastically reduce the time to
prepare data services for data science, machine learning, and SaaS
analytics workloads.
- Cloud Native Architecture based
on Open Source - Designed and built for today's cloud, Kyligence Cloud is
powered by Apache Kylin with added machine intelligence, support for all
popular BI tools (Excel, Microstrategy, Power BI, Tableau, Qlik) and back
end data platforms (Snowflake, AWS S3, Azure Data Lake Storage, Azure Blob
Storage.)
- Intelligent Distributed OLAP -
Using precomputed aggregate indexes, smart Indexes and Smart Pushdown,
Kyligence Cloud 4 delivers sub-second query response times on
petabyte-scale datasets. This drastically reduces the load on back end
systems like Snowflake and Synapse, and lowers cloud infrastructure
costs.
- Smart Pushdown - The benefit of
smart routing and pushdown is to enable the best strategy to maximize
sub-second response times without sacrificing the ability to run ad hoc or
detailed queries. This also removes the need to move data for data
discovery and exploration.
"Contrary to popular belief, OLAP
isn't dead. It has not been killed by big data," said Mike Leone, senior
analyst, ESG. "There are many companies - along with millions of users, cubes,
and experts - that continue to leverage OLAP, and have turned to Apache Kylin
and Kyligence Cloud for better enablement. The latest release, Kyligence Cloud
4, redefines what OLAP means for those embracing cloud analytics,
reinvigorating life back into lagging BI implementations."
Availability
Kyligence Cloud 4 is immediately
available on Microsoft Azure and Amazon AWS.