The mountain of data that needs to be processed in the health care industry requires flexible schema management, distributed processing, and ease of administration. According to Brian O'Neil, Cassandra stands up to all these challenges.
The CouchCocoa lets you model data as native Cocoa objects with predeclared @properties.
A short discussion of the pros and cons of NoSQL and Relational Database Management Services.
We have been head down for a while, doing some really cool things with RavenDB (sharding, read striping, query intersection, indexing reliability and more). But that meant that for a while,things that are not about writing code for RavenDB has been more or less on auto-pilot.
Including how-tos for installing MongoDB on Linux and Windows, as well as how to install the MongoDB PHP driver, Drupal, and how to integrate the two.
SQL is by no means simple, and developers over the years have taken a disliking to it like the plague. For good reason.
I wanted to include Neo4j to GWT which is actually very straight forward but for some reasons I was fighting with it for quite a while.
An illustrated interview with the winner of the Neo4j Heroku Challenge discusses her idea and implementation of a neat food-pairing tool.
This high-theory, well illustrated post covers some of the types of visualization of hiveplots in neo4j, and includes links to informative resources for further exploration.
Since Neo4j has such a dependency clean kernel, I decided to try Ja.net as a way of making Neo4j useful under .NET. No slight against the RESTful interfaces, but it would be pretty sweet to run Neo4j on .NET as an embedded graph DB under .NET.
Sometimes you need to iterate over a large MongoDB collection. The biggest issue is that, by default, cursors timeout after 10 minutes of inactivity.
These devs processed over 80 GB of Google ngrams data in Neo4j in order to improve sentence completion software - they're currently developing an Android app.
The following statistics are based on searches of major NoSQL databases among LinkedIn profile mentions.
Under the Neo4j hood a huge amount of work has gone into a far more stable and usable HA implementation and rewriting the property storage layer to use far less disk space while maintaining all its features and providing a speed boost at the same time. In this post I will deal exclusively with the latter.
Following the basic format of the MongoDB query, this post covers some query/indexing how-to's designed for the MySQL user.
Following a previous post on RavenDB Sharding, this post covers how Map/Reduce gathers information from multiple shards.
The term property graph has come to denote an attributed, multi-relational graph. That is, a graph where the edges are labeled and both vertices and edges can have any number of key/value properties associated with them
Presented by Ben Lakey and John Bennett from MSNBC.COM, and Oren Eini and Itamar Syn-Hershko from RavenDB's YouTube channel.
The user came up with a set of goals to meet before setting out to work on a full text search for neo4j - this post describes how he met these goals.
Frequent timeout issues inspired this team to take a look at Neo4j from the default install. This post includes a detailed description of their findings.
This article will cover the following topics: (1) how to install Redis on a *nix machine; and (2) how to write a simple app using Spring-Data and Redis.
Let me show you how we can define a proper sharding function that shards your documents based on their actual data.
CouchDB and map reduce make it simple to write a map function that goes through each document and emits the fields you're interested in.
A move from MySQL over to MongoDB results in lessons learned about the importance of memory management in MongoDB.
The third and final installment of this replication internals introduction provides a few useful tips for bending the oplog to your will.