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Tag: graph database

There’s a NoSQL Database for That

While relational databases still dominate IT budgets, many new development projects are turning to NoSQL databases, which have emerged in recent years to serve all sorts of interesting use cases. Relational databases wil Read more…

Neo4j Sees Graph Data Science Taking Off Following $325 Million Round

Operational use cases such as fraud prediction and recommendation engines have dominated in Neo4j’s existence up to this point. But following today’s announcement of a $325-million funding round that values the graph Read more…

TigerGraph Roars with $105 Million Round

Upstart graph analytics company TigerGraph today announced the completion of a Series C round of funding worth $105 million. The funding validates TigerGraph’s approach, according to the company, which says it will use Read more…

Neo4j Goes Enterprise-Grade with Graph DB for Cloud

Neo4j today unveiled Aura Enterprise, a new cloud-hosted version of its graph database that’s aimed at organizations with the biggest, most demanding graph requirements. Among the customers already running the new offe Read more…

Who’s Winning the Cloud Database War

Three-quarters of all databases will be deployed or migrated to the cloud within two years, Gartner said today in its much-anticipated report on cloud database management systems. The big cloud companies are winning thei Read more…

Graph Databases Gaining Enterprise-Ready Features

Graph database vendors are broadening their applications by adding enterprise-focused features to help customers who are dealing with the burdens of huge troves of business-critical data. In a move that is highlightin Read more…

TigerGraph Offers Free Graph Database for On-Prem Analysis

TigerGraph today rolled out a new deal that allows customers to store up to 50 GB of data in a distributed graph database running on-premise, matching what it already offered in the cloud. The company also welcomed more Read more…

ICIJ Turns to Big Data Tech to Unravel FinCEN Files

Unraveling financial crimes like money laundering is a notoriously difficult task, especially when criminals purposely cover their tracks. It gets a little easier when you have advanced tools, such as text analytics, mac Read more…

Data.world Aims to Rethink Data Catalogs

What is a data catalog? If you answered that it’s simply an index that tells you where to find data, then Brett Hurt would like a word with you. As the co-founder and CEO of data.world, Hurt is looking to redefine what Read more…

Meaningful Customer Experiences and Increased Revenue Start with Connected Data

“I’m frustrated because we have all this data, but can’t get meaningful insights with it.” Those were the words of a Fortune 100 CIO I recently talked with. The first commandment, and core mission, of every Read more…

Bitnine Looks to Scale PostgreSQL

The successor to AgensGraph, the multi-mode database that added a standard graph query language to PostgreSQL, retains that and other features while expanding the ability to scale without sacrificing performance. Rele Read more…

Nebula Graph Joins Database Race

As the open source Nebula Graph database moves closer to commercial availability, the technology’s developer has announced an early funding round led by several Chinese investors. VEsoft Inc. said this week it would Read more…

KgBase Aims to Close the Knowledge Gap

Organizations are discovering the power of knowledge graphs to extract useful information from unstructured data. But full-fledged graph databases can require specialized skills to interact with, while online spreadsheet Read more…

Neo4j Brings Graph Database and Data Science Together

Enterprises that want to use powerful graph algorithms to discover relationships hidden in their data now have an easier path to get there thanks to the new data science library unveiled today by graph database maker Neo Read more…

Tracking the Spread of Coronavirus with Graph Databases

In the midst of a global pandemic, big data technologies like graph databases are demonstrating a remarkable capability to model complex interactions among groups of people and places, as well as the trains, planes, and Read more…

Neo4j Going Distributed with Graph Database

Neo4j is the leader in the burgeoning graph database market, with 17 years in development and thousands of open source users. But the database has a hard limit in terms of scalability, since it essentially was restricted Read more…

Neo4j Gets Hooks Into Kafka

Today at the Kafka Summit, Neo4j unveiled a new product called Neo4j Streams that will make it easier to connect streaming data from Apache Kafka with the company's graph database. Analytics use cases, such as financial Read more…

Graph Database ‘Shapes’ Data

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more agile way of analyz Read more…

Funders Target Flexible Graph Databases

The graph database ecosystem continues to expand with new venture funding for Dgraph Labs Inc., a transactional and distributed graph database startup. The San Francisco-based startup announced an $11.5 million Series Read more…

RavenDB Adds Graph Queries

RavenDB, the open-source transactional NoSQL document database vendor, has added data replication and other features to the latest release along with the ability to handle graph queries. Along with “pull” data rep Read more…

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