Apache Cassandra is an open-source, NoSQL, wide column data store that can quickly ingest and process massive amounts of data. It’s also decentralized, distributed, scalable, highly available, fault-tolerant, and tunably consistent, with identical nodes clustered together to eliminate single points of failure and bottlenecks (we’ll go over each of those terms later). You can deploy Cassandra on-premise, in the cloud, or in a hybrid data environment.

More info http://cassandra.apache.org/

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era.

More info https://www.mongodb.com/

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications. It employs a NameNode and DataNode architecture to implement a distributed file system that provides high-performance access to data across highly scalable Hadoop clusters.

https://azure.microsoft.com/en-in/services/hdinsight/

  Aplatform for the analysis and visualization of Internet-scale data volumes that is powered by Apache Hadoop, an open source distributed computing platform. More info  https://www.ibm.com/support/knowledgecenter/en/SSPT3X_3.0.0/com.ibm.swg.im.infosphere.biginsights.welcome.doc/doc/welcome.html

The MapR distribution provides a full Hadoop stack that includes the MapR File System (MapR-FS), the MapR-DB NoSQL database management system, MapR Streams, the MapR Control System (MCS) user interface, and a full family of Hadoop ecosystem projects. You can use MapR with Apache Hadoop, HDFS, and MapReduce APIs.

More info https://mapr.com/docs/52/MapROverview/c_overview_intro.html

https://www.cloudera.com/products/open-source/apache-hadoop/key-cdh-components.html

https://www.cloudera.com/products/cloudera-data-platform.html

Amazon EMR is the industry leading cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale.