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.
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
Amazon EMR is the industry leading cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale.
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.
Neo4j is a graph database management system developed by Neo4j, Inc. Described by its developers as an ACID-compliant transactional database with native graph storage and processing, Neo4j is the most popular graph database according to DB-Engines ranking, and the 22nd most popular database overall.
More info https://neo4j.com/
“A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time”
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
