Neo4j
Neo4j (page last updated on February 27, 2017) Neo4j, the world’s most popular graph database, was built to efficiently store, handle, and query highly connected data. With a powerful and flexible data model, you...
Tagged: Open Source
When the dust clears… Is it clearing, by the way?
When the dust clears… Is it clearing, by the way? Authors: Gilbert Harrus, Founder, Antegria (gilbert.harrus@antegria.com), Laurence Hubert, CEO, Hurence (laurence.hubert@hurence.com) We will not try here to define “Big Data” neither try to explore...
S4
Stream processing: S4 is a general-purpose, distributed, scalable, fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. LINK
Apache Kafka – distributed publish-subscribe messaging system
Distributed system:: Apache Kafka – distributed publish-subscribe messaging system. Apache Kafka is a distributed publish-subscribe messaging system. It is designed to support the following: – Persistent messaging with O(1) disk structures that provide constant time...
Storm
Stream processing: Storm is a freeand open source distributed realtime computation system. Storm makesit easy to reliably process unbounded streams of data, doing for realtime processing what Hadoopd is for batch processing. LINK
Drill
Distributed system:: Drill— Apache Drill is a distributed system for interactive analysis of large-scale datasets. Drill is similar to Google’s Dremel, with the additional flexibility needed to support a broader range of query languages,...