MapR Ecosystem Pack 6.1 Debuts
February 7, 2019
MapR Ecosystem Pack (MEP) 6.1 gives 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).
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.
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.”