SANTA CLARA, Calif.–(BUSINESS WIRE)–lt;a href=”https://twitter.com/hashtag/AI?src=hash” target=”_blank”gt;#AIlt;/agt;–MapR®
Technologies, Inc., provider of the industry’s next generation data
platform for AI and Analytics, today announced the immediate
availability of MapR Ecosystem Pack (MEP) 6.1, giving developers and
data scientists maximum flexibility in how they access data and build
powerful AI/ML, real-time analytics and stateful containerized
applications. With the release of MEP 6.1, MapR expands on the Kafka
ecosystem, adds new language support for the MapR document database and
support for Container Storage Interface (CSI).
MEP 6.1 further delivers on the need to enable consumption of data by
the broadest possible set of applications and tools with new
Implementation of Container Storage Interface (CSI) for Kubernetes delivers
persistent storage for compute running in Kubernetes-managed
containers. This future-proofs Kubernetes+Storage deployments. Unlike
the Kubernetes Flexvol-based volume plugin, storage is no longer
tightly coupled or dependent on Kubernetes releases. This creates
greater stability because the storage interface is decoupled entirely
from critical Kubernetes components allowing separation of privileges
as CSI components do not need full privileges of Kubernetes
components. With the implementation of Container Storage Interface
(CSI), persistent data layer for Kubernetes and other Container
Orchestration (CO) tools, such as Mesos and Docker Swarm are now
MapR Event Store for Apache Kafka: Kafka Schema Registry allows
the structure of streams data to be formally defined and stored,
letting data consumers better understand data producers. This registry
also provides centralized schema management and compatibility checks
as schemas evolve.
MapR Database: New language bindings for Go, C# enable
developers to build a broader set of new applications in the language
of their choice on MapR document database. Languages include Java,
Python, Node.JS and now expanding to Go, C# languages support. New
language bindings provide enhanced developer productivity on MapR
Database and builds on the gRPC based thin client architecture and
fully native language bindings with no dependencies.
Apache Drill 1.15 includes an enhanced S3 Storage Plugin with
the ability to query next generation pcap format – pcap-ng, improved
SQL compliance and performance for BI/Analytics with numerous SQL
Joins related enhancements, and enhanced Parquet performance with
filter pushdown. The latest release also has a simplified user
experience for Drill administration and query performance analysis.
Oozie 5.1 enhancements move dependency from Tomcat to Jetty for
embedded webserver which is much more lightweight and secure and
update the launcher of Oozie which is generic to YARN, instead of in
the MapReduce format.
“MapR was first in our space to solve the stateful container challenge –
first with Persistent Application Client Containers (PACC) for Docker
containers, then with Flex-volume driver for Kubernetes,” said Suzy
Visvanathan, director, product management, MapR. “Today we are thrilled
to extend our lead with the implementation of CSI, helping developers
and administrators alike achieve greater independence between Kubernetes
releases and underlying storage. The CSI Driver leverages MapR volumes
to provide a scalable, distributed persistent storage for stateful
applications. Storage is no longer tightly coupled or interdependent
with Kubernetes releases. Implementation of CSI provides a persistent
data layer for Kubernetes and other Container Orchestration (CO) tools,
such as Mesos and Docker Swarm.”
Released on a quarterly basis, MEPs ensure that customers are given
quick access to the latest open source innovations. MEPs also ensure
that these innovations run in supported configurations with the MapR
Data Platform and other interconnected projects, greatly simplifying and
error-proofing customers’ upgrade path.
MEP 6.1 is immediately available.
Tweet this: .@MapR Amplifies Power of #Kubernetes, #Kafka, and
MapR Document Database to Speed Up #AI Application Development
Technologies, provider of the industry’s next generation data
platform for AI and Analytics, enables enterprises to inject analytics
into their business processes to increase revenue, reduce costs, and
mitigate risks. MapR addresses the data complexities of high-scale and
mission critical distributed processing from the cloud to the edge, IoT
analytics, and container persistence. Global 2000 enterprises trust the
MapR Data Platform to help them solve their most complex AI and
analytics challenges. Amazon, Cisco, Google, Microsoft, SAP and other
leading businesses are all part of the MapR ecosystem. For more
information, visit mapr.com.
MapR is a registered trademark of MapR Technologies, Inc. in the
United States and other countries. Other names and brands may be
the property of others.
MapR Technologies, Inc.
MapR Technologies, Inc.