graph database: All content tagged as graph database in NoSQL databases and polyglot persistence
- Max de Marzi is lately my favorite source for graph data visualization posts
- Even if the diagram looks amazing I’m wondering if it would scale for larger data sets
- Even if I gave it some thought, I’m still not sure how graph databases can record historical relationship/the evolution of relationships in a graph. If you have any ideas I’d love to hear.
Original title and link: Neo4j and D3.js: Visualizing Connections Over Time ( ©myNoSQL)
An article in a German publication mentions (according to Google translator) that sones GraphDB is up for sale:
The administrator of sones GmbH Hartig, Dr. Oliver lawyer, said that the graph database of insolvent sones GmbH will be sold.
Original title and link: Insolvent Sones GraphDB Available for Sale ( ©myNoSQL)
A new version of InfiniteGraph, the graph database from Objectivity, was announced today. This release features:
- a plugin framework: Two kinds of plugins are supported. A navigator plugin bundles components that assist in navigation queries, such as result qualifiers, path qualifiers, and guides. The Formatter plugin formats and outputs results of graph queries.
- enhanced IG Visualizer: The advanced Visualizer is now tightly integrated with InfiniteGraph’s Plugin Framework allowing indexing queries for edges, the Formatter plugin framework export GraphML and JSON (built-in) or other user defined plugin formats.
- support for Tinkerpop Blueprints and Gremlin: InfiniteGraph provides a clean integration with Blueprints that is well suited for applications that want to traverse and query graph databases using Gremlin
A bit more details can be found in the InfiniteGraph 2.1 release notes.
Original title and link: InfiniteGraph 2.1 Features Gremlin Support and a Plugin Framework ( ©myNoSQL)
Found this list of use cases for graph databases in a follow up of a Neo4j webinar:
- Social networks
- Collaboration programs
- Configuration Management
- Geo-Spatial applications
- Impact Analysis
- Master Data Management
- Network Management
- Product Line Management
- Recommendation Engines
The more generic answer would be that graph databases can be a great fit for problems handling highly connected data.
The examples above are clear cases of use cases involving highly connected data , but as of now I’m not aware of any social networks, network management, or large scale recommendation engines built on top of one of the existing graph databases.
Original title and link: What types of applications might a graph database be well suited for? ( ©myNoSQL)
James Kobielus summarizes Forrester’s predictions for 2012:
Enterprise Hadoop deployments will expand at a rapid clip.
In-memory analytics platforms will grow their footprint.
Assuming they are referring to products like SAP Hana, Tibco Spotfire BI, etc., my bet is that their adoption will depend heavily on their integration with Big Data toolkits.
Soon I also expect to see some in-memory data-grid products slightly shifting their direction and trying to penetrate the analytics market.
Graph databases will come into vogue: The market for graph databases will boom in 2012 as companies everywhere adopt them for social media analytics, marketing campaign optimization, and customer experience fine-tuning.
I know someone that will be very happy to read this prediction.
While I do agree this will happen, I also think that some more technical and communication advances in this space are needed before seeing a wide adoption of graph databases.
Original title and link: Forrester Predictions for 2012: Hadoop, In-Memory Analytics Platforms, Graph Databases ( ©myNoSQL)