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Tag: graph database

TigerGraph Bolsters DB for Enterprise Graph Workloads

When Mingxi Wu took over as CEO of TigerGraph five months ago, he promised that the company would return to focusing on the development of product features demanded by the biggest customers. That focus appears to be play Read more…

Neo4j Finds the Vector for Graph-LLM Integration

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those possibilities for its cus Read more…

New TigerGraph CEO Refocuses Efforts on Enterprise Customers

TigerGraph may have been knocked down, but it’s not out. And under new CEO Mingxi Wu, the graph database maker will be concentrating its efforts on developing features required by its enterprise customer base, includin Read more…

Aerospike Is Now a Graph Database, Too

Aerospike this week rolled out new graph database offering that leverages open source components, including the TinkerPop graph engine and the Gremlin graph query language. The NoSQL company foresees the new property gra Read more…

TigerGraph Bolsters Database with Graph Analytics and ML

Companies that want to use powerful graph algorithms to explore hidden connections in their data may want to check out TigerGraph, which today unveiled a pair of cloud-based offerings designed to bolster graph analytics Read more…

Neo4j Releases the Next Generation of Its Graph Database

Neo4j has announced the general availability of the next generation of its namesake graph database for both community and enterprise users. Neo4j 5 widens the performance lead of native graphs over traditional databas Read more…

AWS Launches Amazon Neptune Serverless

Amazon Web Services has launched a serverless option for its Neptune graph database service used for building and running applications with highly connected datasets. Neptune's graph database engine is optimized for s Read more…

Overcoming Data Integration Challenges to Unleash Massive Potential: Knowledge Graphs 101

Doing integrations in the storage layer is a bit like asking the first person you ever date to marry you. It’s not necessarily a bad idea, but it is risky and it requires a big upfront commitment. Like a hasty proposal Read more…

What Does It Mean for a Data Catalog to Be Powered by a Knowledge Graph?

In this article, I explain why the first app built on a knowledge graph should be an enterprise data catalog. I then clarify why any catalog equipped to grow, scale, and evolve with the modern data stack must be built on Read more…

Three Ways Next Generation Graph Technologies Are Transforming the Banking Industry

For today’s modern bank, the ability to access and analyze data in real time is almost as important as its access to capital. However, the banking industry is facing a big “big data” problem: an enormous amount of Read more…

Meet Yu Xu, a 2022 Datanami Person to Watch

Graph databases are one of the fastest growing technologies in big data today, and one of the fastest growing graph database vendors is TigerGraph, which is headed by Yu Xu, one of Datanami's People to Watch for 2022. Read more…

What Is Categorical Data?

According to a 2020 Microstrategy survey, 94% of enterprises report data and data analytics are crucial to their growth strategy. And yet, surprisingly, as much as 73% of the data that enterprises collect is never used, Read more…

Signal AI Releases Graph Database for Reputation Insights

Unstructured data often encompasses a large portion of a company’s data. IDC predicts that volumes of unstructured data could reach 80% by 2025, and for some larger organizations, this is already a reality. This data h Read more…

Esri Melds GIS with AI, Graph, and Analytics

Esri has long been the industry leader in geographic information systems (GIS), which are used by urban planners, building engineers, and landscape designers around the world. At its UC 2022 conference this week, the com Read more…

TigerGraph Unveils ML Workbench, Winners of Its ‘Graph For All Million Dollar Challenge’

Graph analytics platform TigerGraph has just released its new TigerGraph ML Workbench, a Jupyter-based Python development framework. TigerGraph says this machine learning toolkit “enables data scientists to signific Read more…

Aerospike Adds JSON Support, Preps for Fast, Multi-Modal Future

The addition of JSON support in Aerospike Database version 6 shows that Aerospike is not afraid to go head-to-head with bigger database vendors in the NoSQL market. The addition of performance enhancements to secondary i Read more…

TigerGraph Releases New Benchmark Report

TigerGraph has released a new benchmark report for its graph analytics software. The company used the Data Benchmark Council (LDBC) Social Network Benchmark (SNB) Scale Factor 30k dataset. The results show that TigerGrap Read more…

Neo4j Drives Simplicity with Graph Data Science Refresh

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that complexity from t Read more…

Can Streaming Graphs Clean Up the Data Pipeline Mess?

The previously separate worlds of graph databases and streaming data are coming together in an open source project called Quine. According to its creator, the Akka-based distributed framework is capable of returning Cyph Read more…

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