Stackable is described as 'The Stackable Data Platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka®, Apache Druid, Trino and Apache Spark' and is a big-data analytics tools tool in the development category. There are eight alternatives to Stackable for a variety of platforms, including Web-based, Linux, SaaS, Self-Hosted and Amazon Web Services apps. The best Stackable alternative is Google Cloud Dataproc. It's not free, so if you're looking for a free alternative, you could try Amazon EMR or ILUM. Other great apps like Stackable are Cloudera CDH, Gigasheet, IBM InfoSphere BigInsights and Microsoft HDInsight.
Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks. Use Dataproc for data lake modernization, ETL, and secure data science, at scale, integrated with...
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...
Amazon EMR is the industry-leading cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto.
IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. Apache Hadoop is the open source software framework, used to reliably managing large volumes of structured and unstructured data.
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 computing.
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