As NoSQL solutions are getting more and more popular for many kind of problems, more often the modern projects consider to use some (or several) of NoSQLs instead (or side-by-side) of traditional RDBMS
Blogger Xaprb recently made some bold claims about which NoSQL databases will live "long and healthy lives"
On Tuesday, OpenShift Evangelist Shekhar Gulati published a tutorial for getting started with Cassandra on OpenShift.
The DB-Engines ranking shows the popularity of database management systems. Popularity is measured by 5 factors: number of results shown on Google and Bing when searching . . .
This is probably exclusively of interest to my coworkers, but MongoDB has a new fail points framework.
This video shows the execution of a sample Python script inside Tulip. The script perform a graph traversal using a DFS or BFS algorithm. Color of nodes are modified once they have been visited
One of our team leaders approached me in the hall today and asked if I could land a hand testing Hadoop clusters after an upgrade and they had a problem with one table they were trying to set up:
While MongoDB may have ridden onto the scene under the banner of scalability with the rest of the NoSQL database technologies . . .
Once again, it's time for my annual prognostication and review of last year's efforts.
Over at the Neo4j, guest blogger Amir Gupta used the Neo4j Demo Console to create a Facebook friend finder.
Yesterday we released the latest unstable version of MongoDB; the headline feature is basic full-text search.
Seeing how questions on this topic keep coming in, I thought it would be a good idea to post it here as a reference for anyone interested.
Perhaps right after the addition at school we’ve learned how to multiply two numbers. This algorithm isn’t as easy as addition, but besides that we’re so familiar with it and that we even don’t recognize it as an “algorithm”. We just know it by heart.
The goal with this post is to give you a better understand about how you can design your data layer and why it’s important to create a complete abstraction layer.
Many developers are discovering that traditional relational databases make it hard to scale to the large data volumes and user traffic required by Internet-scale applications.
Dev blogger Daniel Lang recently posted a tutorial about dealing with document relations in the latest iteration of RavenDB.
To the adept, graph computing is not only a set of technologies, but a way of thinking about the world in terms of graphs and the processes therein in terms of traversals.
This speaker discusses the various database options his team evaluated or operated in order to meet their needs, which included storing tens of billions of points as time-series.
Recently I was looking at options for exploring CIDR blocks in PostgreSQL. In particular, I was wondering about checking a CIDR block for unallocated IP addresses in another table.
For some time I’ve been trying to understand the different combinations of CAP theorem system properties and what do they mean in practice; having some time at various airports I caught up on reading, and here’s what I came up with.
Here's a one-hour presentation that wlll introduce you to different types of NoSQL Databases, as well as some keys and documents for NoSQL design patterns.
In this 35-minute presentation, Will Urbanski discusses how RDB security features and threats apply to NoSQL databases.
Roberto Zican wanted to know more about the Spring Data project, so he interviewed David Turanski, Senior Software Engineer with SpringSource, a division of VMWare.
Traditional Enterprise Database vendors often bring up the lack of professional monitoring and management tool support for NoSQL solutions.
This webinar provides a high level introduction to graph databases. This webinar demonstrates how graph databases fit within the NOSQL space, and where they are most appropriately used. ›