New Release of Graphwise GraphDB Delivers Multi-Method Graph RAG to Accelerate R&D for GenAI Applications, Increase Precision, and Enable Self-Service Data

Graphwise, a leading Graph AI provider, announced the immediate availability of GraphDB 10.8. This release includes the next-generation Talk-to-Your-Graph capability that integrates LLMs with vector-based retrieval of relevant enterprise information and precise querying of knowledge graphs.

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise

Graph database and analytics leader Neo4jⓇ announced a major transformation of its Aura cloud database management system (DBMS) portfolio – making it dramatically easier for enterprises to try, build, and accelerate graph in production for any workload or use case.

The Tech Tracking 2024 Presidential Ad Campaigns

A new searchable database allows the public to examine groups running social media ads that mention U.S. presidential candidates, including secretly coordinated pages that are running identical videos or messages.  The project is supported by a grant and use of analytics software from Neo4j, a leading graph database and analytics company.

Unleashing the Power of Graph and Vector Databases in the Age of Generative AI

In this contributed article, Dave Voutila, solutions engineer at Redpanda, does a dive deep into the world of graph and vector databases, explores how these technologies are converging in the age of generative AI and provides real-time insights on how organizations can effectively leverage each approach to drive their businesses. 

ArangoDB Announces Release of ArangoDB 3.11 for Search, Graph and Analytics

SAN FRANCISCO – May 30, 2023 – Graph data and analytics platform company ArangoDB today announced the GA release of ArangoDB 3.11 to accelerate its performance across search, graph, and analytics use cases. ArangoDB 3.11 includes performance improvements for ArangoSearch, ArangoDB’s natively-integrated full-text search and ranking engine, as well as new functionality to its web interface to simplify the […]

Neo4j Announces GA of Graph Database Neo4j 5

SAN MATEO, Calif. – November 9, 2022 – Neo4j, a graph technology company, announced today the general availability of Neo4j 5, the cloud-ready graph database. The company said Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scale-out and scale-up across any deployment, whether on-premises, in the cloud, hybrid, […]

TigerGraph Releases New Benchmark Report – First Time a Graph Database Tested at this Scale

Graph analytics leader TigerGraph has released a new benchmark report which demonstrates the technology is capable of running BI queries fast, returning results in a few minutes or less even across a data set of significant size.

Video Highlights: Emil Eifrem on the Origins of Neo4j and the Ubiquity of Graphs

The video below is from a webinar for Neo4j’s APAC Quarterly Customer Update. It includes a fascinating conversation between Emil Eifrem, Co-Founder and CEO, and Nik Vora, the Vice President of Neo4j APAC.

TigerGraph Raises $105 Million to Accelerate Graph Analytics in the Cloud

REDWOOD CITY, CA – Feb. 17, 2021 – TigerGraph, graph analytics platform provider, today announced it has raised $105 million in Series C funding, which the company said is largest funding round to date within the graph database and analytics market. The round was led by Tiger Global and brings TigerGraph’s total funding raised to over […]

TigerGraph Unveils Free TigerGraph Enterprise Edition, Helping Companies Use Graph as the Foundation of Many Modern Data, Analytics and AI Capabilities

TigerGraph, the scalable graph database for the enterprise, announced free licenses for TigerGraph Enterprise, an offering that will empower customers to easily use graph analytics and algorithms that quickly traverse graphs to find insights in real-time. TigerGraph is now free for everyone to use for databases up to 50GB graph size (which can be more than 150GB in other graph systems, which expand data rather than compress it).