Alternatives to MapR for Web, Linux, Windows, Mac, Software as a Service (SaaS) and more. Filter by license to discover only free or Open Source alternatives. This list contains a total of 14 apps similar to MapR.
MapR makes Apache Hadoop more affordable and easier to use for big data analytics, business intelligence, distributed computing, machine learning, distributed file systems and map reduce grid... If you're looking for more info about MapR like screenshots, reviews and comments you should visit our info page about it. Below you find the best alternatives.
Need an alternative to MapR? Read on. We've looked at the best MapR alternatives available for Windows, Mac and Android.
Cloudera's open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments of that technology. Cloudera says that more than 50% of its engineering output is donated upstream to the various Apache-licensed open source projects (Apache Hive, Apache Avro, Apache HBase, and so on) that combine to form the Hadoop platform.
Platfora puts the power of Big Data Analytics into the hands of business users, providing self-service analytics capability across all of your customer interaction, machine and transactional data sets. With Platfora, you can visualize insights and make decisions that were never before possible—all at the speed of business and without the intervention of IT.
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Datameer is a business-user-focused business intelligence (BI) platform for Hadoop. But Datameer doesn't treat Hadoop as an island of information; it can connect to any data source through JDBC, Hive, HTTP, or other standards. It includes a wizard-driven integration platform that lets you schedule loads and transform large structured, semi-stuctured or unstructured datasets from any of these sources.
Google Cloud Dataproc (Cloud Dataproc) is a cloud-based managed Spark and Hadoop service offered on Google Cloud Platform.
We have built the World's Most Comprehensive Advanced Analytics Platform for Big Data. Our goal is to help your company drive business value from your Big Data investment faster. Here is what we believe and separates us from the pack.
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Run your code faster, without the infrastructure hassle Domino makes it easy to run your Python, R, MATLAB, and Julia code on more powerful hardware with one command, so you can get your results faster. Customers tell us these features can reduce set-up and configuration times by 90%.
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SQL meets collaboration. Mode is designed and built for analysts who fuel data-driven companies: write SQL, share ad-hoc analysis, and build powerful visualizations to help everyone make better decisions.
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A Cloud Platform for Data Science and Big Data Analytics Collaborate on, scale, and deploy data analysis and advanced analytics projects radically faster. Use the most powerful tools — R, Python, JavaScript, Redshift, Hive, Impala, Hadoop, and more — supercharged and integrated in the cloud.
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