Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

Graph database provider TigerGraph on Tuesday said that it was adding graph analytics and machine learning tools to its graph database-as-a-service (DBaaS) TigerGraph Cloud, which was was launched ...

Netflix is also a heavy user of Redis Queue and Jupyter Notebooks tools for Python. Netflix also uses the Boto 3 AWS SDK for Python to configure its AWS infrastructure -- the streaming giant runs ...

According to the company, Insight Partners led the investment with participation from Mubadala Capital. Bloomberg reported ...

Neo4j builds tools for creating graph databases, and today at its GraphConnect conference in New York City, it announced a new platform for developers to build graph-based applications using a ...

Python’s rich ecosystem of data science tools is a big draw for users. The only downside of such a broad and deep collection is that sometimes the best tools can get overlooked. Here’s a ...

Hundreds of top enterprises depend on command-line programs to perform their daily business activities. To build command-line programs, you can use tools such as docopt, Python Fire, plac, and cliff.

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...