Apache Ambari
Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters. subtitle
Apache Ambari Alternatives [Page 4]
The best Apache Ambari alternatives based on verified products, community votes, reviews and other factors.
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/amazon-kinesis-alternatives
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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/apache-archiva-alternatives
Apache Archiva is an extensible repository management software.
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Atera’s all-in-one platform enables IT professionals to gain access, visibility, and control over all their networks and devices from anywhere, so they can work smarter and light years faster.
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/openshift-container-platform-alternatives
Red Hat OpenShift Container Platform is the secure and comprehensive enterprise-grade container platform based on industry standards, Docker and Kubernetes.
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/elasticsearch-alternatives
Elasticsearch is an open source, distributed, RESTful search engine.
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/jenkins-alternatives
Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
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/apache-cassandra-alternatives
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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/onesis-alternatives
oneSIS is an open-source software package aimed at simplifying diskless cluster management.
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/knime-alternatives
KNIME, the open platform for your data.
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/alpine-chorus-alternatives
We have built the World's Most Comprehensive Advanced Analytics Platform for Big Data.
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/apache-tika-alternatives
Apache Tika toolkit detects and extracts metadata and text from different file types.
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/docker-compose-alternatives
Define and run multi-container applications with Docker
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/apache-spark-alternatives
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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/ibm-biginsights-alternatives
IBM BigInsights is an enterprise platform that combines Hadoop and Spark for fast analysis and processing of data.