Yellowbrick Data
announced Yellowbrick Manager which gives customers unified control of data
warehouses across distributed clouds, and general availability of its new
Andromeda optimized instance for customers with data sovereignty or
high-performance requirements. Additionally, the company has added more agile
data movement capabilities to help customers more easily integrate Yellowbrick
with data lakes built on cloud object stores like Amazon S3.
Distributed clouds are
an emerging architectural pattern characterized by a mesh of interconnected
physical and virtualized infrastructure, forming a best-of-breed, logical cloud
managed by a single, unified control plane.
"Data is becoming more
distributed across private data centers, multiple clouds, and the network edge,
creating significant data sovereignty and gravity challenges," explained
Yellowbrick CEO Neil Carson. "Yellowbrick led the industry in hybrid cloud
innovation. Next, bringing our data warehouse to distributed clouds will be
transformative for businesses facing these challenges, especially as use cases
like IoT analytics emerge in manufacturing, telecom, and logistics."
"Yellowbrick has
embraced Kubernetes as core, cloud-native architecture so our customers can
deploy, manage, and orchestrate data warehouse workloads across distributed
clouds," added Yellowbrick CTO Mark Cusack. "Furthermore, the Andromeda
instance, Yellowbrick Manager, and deeper integration with cloud object stores
are working in concert to galvanize distributed data for enterprises - while
maintaining Yellowbrick's ultimate price/performance advantage."
"We're excited about
Yellowbrick's vision to bring data warehousing to distributed clouds," said
Matthias Baumhof, CTO, ThreatMetrix Business Services. "Data is everywhere, and
our business can't be constrained by an inability to analyze data in place
wherever it's located. Yellowbrick's track record of bringing near real-time
speed to data across multiple environments is a big advantage for that
purpose."
Analysts and partners
agree:
- "It's an inescapable fact that data is becoming more
distributed, putting continued pressure on businesses to effectively derive
insights to meet timely data-driven goals," said Mike Leone, senior analyst, ESG. "Yellowbrick has a compelling vision to address
this growing challenge by bringing data warehousing to distributed clouds in a
way that counters a lot of that pressure."
- "The next evolution of data warehouse architectures will
require support for distributed clouds, providing organizations with the
ability to process data anywhere and with simple cloud-native management," said
Chetan Mathur, CEO of Next Pathway, the automated cloud migration company. "We fully
support the Yellowbrick distributed cloud vision and believe that there is a
unique opportunity for us to help automate the migration of legacy workloads to
the groundbreaking new architecture."
Andromeda Widens
Performance Lead by 3x
Running on Yellowbrick's
Andromeda optimized instance for private clouds, Yellowbrick Data Warehouse
queries run 3x faster than on the company's first-generation architecture. This
further widens Yellowbrick's already substantial price/performance advantage
over legacy and cloud-only data warehouse vendors.
"Key reasons for these
gains include the addition of dual proprietary ‘Kalidah' scan accelerators that
improve scan rates to multiple TBs per sec, a 3x increase in network
performance, and new AMD 64-core CPUs," said Cusack. "Andromeda also offers
linear scalability, up to 6PB across up to 40 nodes. With the lowest TCO in the
industry, Andromeda is a stellar option for private cloud use cases that
require the ultiate performance at scale along with best-in-class economics."
Yellowbrick Manager is
the Cornerstone of a Unified Control Plane for Distributed Data
Yellowbrick Manager is a
rich web UI that offers a consistent management experience across all data
warehouse deployments in distributed clouds. It simplifies loading data,
writing and editing SQL, and managing Yellowbrick databases.
"As the first milestone
in the company's roadmap toward a streamlined and unified control plane,
Yellowbrick Manager complements the cloud-native architecture of our data
warehouse," shared Cusack. "Our best-in-class performance on any physical or
virtualized infrastructure, including optimized instances or Kubernetes stacks
and VMs, across distributed clouds comes at a fraction of the cost of
alternatives."
Yellowbrick Manager is
currently available in preview and the company expects it to be generally
available later this year.
Data Movement Means
Faster, Richer Insights for Business Intelligence and Innovation
Yellowbrick has augmented
its existing data lake integration capabilities to include native object store
connectivity. The new functionality enables high-performance data loading and
querying from files in Amazon S3, Azure Data Lake Storage Gen2 (Google Cloud
Storage coming soon), and MinIO object stores. With the native object store
feature, users can load petabytes of data from object stores into Yellowbrick,
orchestrated through Yellowbrick Manager, or via SQL using their preferred
tools.
Cusack added, "These
improvements enable faster, richer insights across more enterprise data, no
matter how or where it's stored. The ability to easily geolocate data for
latency, compliance, and security reasons, and analyze it in near real time,
are what enterprises need for ultimate efficiency, and it's a logical way of
interacting with data that will transform how we compute with cloud
technologies."