Amazon Neptune
neo4j
ArangoDB
Azure Cosmos DB
OrientDB
Redis
Apache Cassandra
Cayley
Cloudera Navigator
Alation
IBM Watson Knowledge Catalog
Latana
AdMeter
Tercept Unified Analytics
Geckoboard
GreyMetrics
Amazon NeptuneBased on our record, Amazon Neptune seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This technical example was built upon an AWS AI service suite to test its capabilities, and it was pretty impressive, with minimal learning curve for the AI enthusiast. This example leverages Neptune as the graph database, Bedrock’s Claude v3 for our GenAI model and LLM, along with out-of-the-box security notebooks, to populate the data. This coupled with excellent docs and some tinkering helped wire the example... - Source: dev.to / about 2 months ago
Graph databases are designed to store and process highly connected data, such as social networks, recommendation engines, and fraud detection systems. AWS offers a fully managed graph database service called Amazon Neptune that can handle graph data at scale. - Source: dev.to / 7 months ago
My understanding is that a shard is the full set of services that are needed to support at least one game server, and so it isn't a shard that crashes, it's (usually) a "dynamic" game server (DGS) ( which there's currently only one of per shard until they build out the ~~replication layer~~ (Atlas service? https://sc-server-meshing.info/), so it feels an awful lot like the whole shard crashed )... But the DGS... Source: 10 months ago
I know an alternative to regular SQL relational and noSQL databases is graph databases like Neo4j and Amazon Neptune. I don't know if it's relevant to you but you might want to check out https://en.m.wikipedia.org/wiki/Neo4j or https://aws.amazon.com/neptune/. Source: 12 months ago
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 1 year ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Alation - Alation is a platform that makes data more accessible to individuals across an organization.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
IBM Watson Knowledge Catalog - IBM Watson Knowledge Catalog powers intelligent, self-service discovery of data and machine learning models, activating them for artificial intelligence, machine learning and deep learning.
Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.
Latana - Latana is the first brand tracking tool to use advanced data science to ensure reliable and accurate brand insights.