TigerGraph, a graph database born to roar Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities.

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues.

TigerGraph’s ability to do SQL-like database computation along with ACID-compliant transactions benefits users with a lower TCO compared to other platforms. TigerGraph Cloud on Microsoft Azure ...

Datastax recently announced DataStax Graph to support graph data models. InfoQ spoke with Martin Van Ryswyk from DataStax team about the new product.

Review: SQL Server 2017 adds Python, graph processing and runs on Linux Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows.

Neo Technology, maker of the Neo4j graph database, has released Neo4j 2.0, which the company says will help bring graph databases to the masses.

NEW YORK, March 28, 2019 /PRNewswire/ -- Hudson Data released ML Graph, a groundbreaking software framework that provides the ability to easily create and analyze graph structures from relational ...

TigerGraph, Redwood City, Calif., is betting graph analytics are poised to move into the mainstream as enterprises look for new ways to scale the process of gleaning value from “connected data.” ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.