MapR Strengthens Advanced Container Services for Cloud Environments
Published2018.03.15 12:04MapR announced that its MapR Converged Data Platform enables easy and comprehensive access to cloud and on-premises data through Kubernetes support, thereby further advancing the use of containers.
With this announcement, MapR’s single data platform now provides persistent storage for containers and supports the construction of containerized stateful applications.
MapR Data Fabric for Kubernetes includes a built-in Kubernetes volume driver feature to support storage volumes, enabling seamless access to databases, files, streaming content, and more in on-premises, cloud, and edge environments.
It provides automation capabilities for container, non-container, and multi-tenant applications inside and outside MapR clusters. Furthermore, by supporting a global and flexible data fabric, it offers enterprises excellent data accessibility comparable to local data, enabling them to enjoy benefits such as enterprise security, container high availability, snapshots, mirroring, and disaster recovery.
MapR Data Fabric for Kubernetes enables differentiated data services in cloud environments through data synchronization and integrity across various Availability Zones to meet high availability requirements. Cross-cloud data bursting supports the deployment of a neutral cloud that optimizes application processes in terms of cost, performance, and regulatory aspects. Cross-data access support includes NGS, S3, HDFS, and ODBC.
Anil Gadre, Chief Product Officer at MapR Technologies, stated, “MapR provides the flexibility, resilience, and simplicity needed to build next-generation applications, enabling enterprise foundational platforms to meet data and business requirements and grow with change. Extending the Data Fabric to individual environments, allowing customers to collect, store, process, and analyze all data types, is MapR’s unique differentiating strength. Extending the Data Fabric to Kubernetes, which enables enterprises to rapidly build containerized applications and extract value from data, is highly innovative, and in that sense, MapR is a game changer.”
관련뉴스
MapR Technologies Reports Revenue Growth in Q1 2018 Driven by Increase in Customers and Partners
맵알테크놀러지스가 2018년 1분기 매출이 81% 성장했다고 밝혔다. 맵알의 이러한 성장은 전세계에 분포한 기존 고객의 구매 확충과 신규고객 확보에 기인한다. 맵알 플랫폼 도입을 통해 데이터를 활용한 비즈니스 가치를 극대화한 고객 및 파트너 수도 증가했다. 매트 밀스(Matt Mills) 맵알테크놀러지스 최고경영자(CEO)는 “기업들은 새로운 지능형 애플리케이션을 도입하여 자사 데이터 활용 방법과 비즈니스의 변혁을 꾀하고 있으며 이를 통해 더욱 많은 혜택과 효율성을 얻고자 한다”며, “맵알은 엔터프라이즈 고객이 필요로 하는 레거시 및 최신의 데이터 기술 모두를 빠른 속도, 확장성 및 신뢰성으로 완벽하게 지원할 수 있는 업계 유일의 프로덕션-레디(production-ready) 데이터 플랫폼을 제공하는 기업이다.”라고 말했다.
2017.07.03by 김지혜 기자
MapR Technologies Launches an Ecosystem for Updating Open Source Solutions
MapR이 맵알 에코시스템 팩(MapR Ecosystem Pack, MEP)의 최신 버전을 출시했다. MEP는 광범위한 오픈소스 에코시스템 프로젝트로 프로젝트 간의 호환성을 지원히며 맵알 단일 데이터 플랫폼에서 빅데이터 애플리케이션을 구동할 수 있도록 지원한다. MEP 3.0 버전은 스파크(Spark)의 강화된 보안 기능, MapR-DB 및 H베이스(HBase)를 위한 새로운 스파크 커넥터(Spark Connector), 드릴(Drill)을 통한 주요 기능과 통합 기능, 하이브(Hive)의 향상된 속도를 제공한다.
2017.07.27by 김지혜 기자
MapR, Q2 Revenue Growth 'Will Strengthen Position in Big Data Market'
맵알(MapR)이 자사 기준 회계연도 2018년 2분기 실적 발표에서 좋은 성과를 거뒀다. MapR은 전통적인 빅데이터 솔루션 및 최신의 빅데이터 솔루션과의 경쟁에서 지속적으로 성장하고 있으며, 수많은 기업 및 조직들이 한 발 앞서 디지털 혁신을 구현할 수 있도록 지원하고 있다. MapR은 기존 투자자들로부터 약 630억원의 투자를 지원 받았다. 투자금은 다양한 데이터 활용을 위한 업계 최초 기업용 빅데이터 플랫폼 혁신을 이어가는데 사용될 계획이다. 또한 국가 및 지역별 성장을 가속화해 아시아 및 유럽 전역에서 MapR 단일 데이터 플랫폼에 대한 수요를 충족시키고, MapR의 글로벌 파트너 커뮤니티에 대한 지원을 강화하는데 사용된다.
2017.09.18by 김자영 기자
.jpg)
SalePoint Signs Multi-Year Partnership Agreement with AWS… Promoting Identity Security that Integrates Even AI Agents
Sailpoint has entered into a multi-year strategic partnership agreement with AWS and is moving forward with establishing an integrated governance system that manages both human and non-human identities together. The plan is to consistently manage access permissions in an environment where AI agents are increasing as work execution entities, while applying the principle of least privilege and automated policy enforcement. The two companies plan to jointly expand capabilities to manage the identities of various entities, including AI agents, within a single layer in the AWS environment. This collaboration is interpreted as a move to design security and governance together in corporate environments where AI adoption is expanding.
2026.03.26by 배종인 기자
.png)
Databricks Unveils Open AI Security Monitoring 'Lakewatch'
Databricks entered the security market on March 24 by unveiling LakeWatch, an open-source agentic SIEM. The core functionality of this product is to integrate and analyze security, IT, and business data in a single environment to support AI-based threat detection and investigation. The company explained that it reduces the limitations of existing security operations centers, which have had to forgo some data due to high cost structures, and enables large-scale data analysis and automation based on open formats and ecosystems. LakeWatch is currently offered as a private preview, with Adobe and Dropbox mentioned as early customers. Databricks also announced an expanded partnership with Anthropic as well as the acquisition of Antimatter and SiftD.ai.
2026.03.26by 배종인 기자
