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Adrian Matei10/20/14
2294 views
1 replies

How to Connect to MongoDB from a Java EE Stateless Application

In this post I will present how to connect to MongoDB from a stateless Java EE application, to take advantage of the built-in pool of connections to the database offered by the MongoDB Java Driver. This might be the case if you develop a REST API, that executes operations against a MongoDB.

Alec Noller10/19/14
3702 views
0 replies

The Best of the Week (Oct. 10): NoSQL Zone

Make sure you didn't miss anything with this list of the Best of the Week in the NoSQL Zone. This week's best include part 1 of a series on MongoDB sharding pitfalls, the release of Redis Cluster as a minimum viable product, a new source for MEAN stack resources, and more.

Itamar Haber10/17/14
3150 views
0 replies

Redis Running Slowly? Here’s What You Can Do About it

Redis is blazing fast and can easily handle hundreds of thousands to millions of operations per second (of course, YMMV depending on your setup), but there are cases in which you may feel that it is underperforming.

Mark Needham10/17/14
1053 views
0 replies

Neo4j: Generic/Vague Relationship Names

An approach to modeling that I often see while working with Neo4j users is creating very generic relationships (e.g. HAS, CONTAINS, IS) and filtering on a relationship property or on a property/label at the end node.

Rishav Rohit10/16/14
3199 views
0 replies

Introduction To MongoDB Aggregation Pipeline

The MongoDB Aggregation pipeline is a framework for data aggregation. Documents enter a multi-stage pipeline that transforms the documents into an aggregated results. It was introduced in MongoDB 2.2 to do aggregation operations without needing to use map-reduce.

Ayende Rahien10/16/14
443 views
0 replies

What is New in RavenDB 3.0: Operations - Optimizations

One of the important roles operations has is going to an existing server and checking if everything is fine. This is routine maintenance stuff. It can be things like checking if we have enough disk space for our expected growth, or if we don’t have too many indexes.

Andreas Kollegger10/15/14
698 views
0 replies

Graphs for HR Analytics

Recently, I had the pleasure of doing a talk at the Brussels Data Science meetup. Some really cool people there, with interesting things to say. My talk was about how graph databases like Neo4j can contribute to HR Analytics. Here are the slides of the talk.

Vlad Mihalcea10/14/14
1722 views
0 replies

Integration Testing Done Right With Embedded MongoDB

Unit testing requires isolating individual components from their dependencies. Dependencies are replaced with mocks, which simulate certain use cases.

Alec Noller10/14/14
2216 views
0 replies

Refcard Expansion Pack: MongoDB

This week, DZone released its latest Refcard. If you're interested in learning more about MongoDB or sharpening your skills, we decided to dig into the DZone archives and find some of the most popular posts we've had on the topic.

Doug Turnbull10/14/14
3584 views
0 replies

Solving Data “Variety” with Postgres’s NoSQL Extensions

Many clients don’t quite realize how much powerful ad-hoc query capability they’re losing by leaving SQL. But how can we possibly have the best of both worlds? Well, luckily for us, Postgres is working on a very handy solution.

Ayende Rahien10/14/14
712 views
0 replies

What is New in RavenDB 3.0: Operations - The Nitty Gritty Details

After looking at all the pretty pictures, let us take a look at what we have available for us for behind the cover for ops. The first such change is abandoning performance counters.

Francesca Krihely10/13/14
6107 views
0 replies

Sharding Pitfalls: Part I

Sharding is a popular feature in MongoDB, primarily used for distributing data across clusters for horizontal scaling. But as you add complexity to a distributed system, you increase the chances of hitting a problem.

Mark Needham10/13/14
3161 views
0 replies

Neo4j: COLLECTing Multiple Values (Too Many Parameters for Function ‘Collect’)

One of my favourite functions in Neo4j’s cypher query language is COLLECT, which allows us to group items into an array for later consumption. However, I’ve noticed that people sometimes have trouble working out how to collect multiple items with COLLECT and struggle to find a way to do so.

Alec Noller10/12/14
4275 views
0 replies

The Best of the Week (Oct. 3): NoSQL Zone

Make sure you didn't miss anything with this list of the Best of the Week in the NoSQL Zone. This week's best include the rise (and fall?) of NoSQL, a look at using MongoDB with Go and mgo, the dissection of Fall 2014's NoSQL benchmark, and more.

Itamar Haber10/12/14
3066 views
0 replies

So, You’re Looking for the Redis GUI?

It all comes down to preferences. While there are Redis users who are familiar with the Redis command line interface (CLI) and rely on it, there are those who prefer using a GUI. There are several Redis GUIs available, for different platforms, and in this article I'll try to review a few of them.

Alec Noller10/11/14
4000 views
0 replies

A New Source for MEAN Stack Resources

One of the most useful aspects of MongoDB is the MEAN stack - a JavaScript-only web development stack that consists of MongoDB, Express, AngularJS, and Node.js. For a complete collection of resources, Andreas Wienes has created mean-stack.io, an aggregator of MEAN-related content.

Ayende Rahien10/11/14
1445 views
0 replies

RavenDB, Unrecoverable Database and Data Loss

That is one scary headline, isn’t it? A customer called me in a state of panic: their database was not loading, and nothing they tried worked. Here is the story as I got it from the customer in question, only embellished to give the proper context for the story.

Alec Noller10/10/14
4525 views
0 replies

Redis Cluster Released as a Minimum Viable Product

If you've been following the development of Redis for a while, you may have heard about Redis Cluster in the past - it's been around, to some degree, since 2011. Well, now Redis Cluster actually exists!

Don Pinto10/10/14
2199 views
0 replies

Performance: Managing threads in Couchbase 2.x

In this blog post you will get an overview of two related performance optimizations that you can do for Couchbase 2.5.1 and below. This is not for 3.x for reasons you can read at the bottom of this post.

Darrell Burgan10/08/14
2688 views
2 replies

The Pluses and Minuses of Data Grids

One of my recent posts generated some good discussion. One particular question, asking me about GemFire as a NoSQL database, caused me to write a long reply. After reading said reply, I realized it would serve better as a post, so here we are. The good, bad, and the ugly of data grids.

Trisha Gee10/08/14
1847 views
0 replies

Using Groovy To Import XML Into MongoDB

I’ve been demonstrating how easy it is to create modern web apps using AngularJS, Java and MongoDB. I also use Groovy during this demo to do the sorts of things Groovy is really good at - writing descriptive tests, and creating scripts.

Doug Turnbull10/08/14
2964 views
0 replies

Let’s Stop Saying "NoSQL"

I say the word “NoSQL” a lot. When I say NoSQL, I tend to talk about denormalized and hierarchical document/row-based data stores like Cassandra, Mongo, Couch, or HBase. But its a terrible way to use that term.

Ayende Rahien10/08/14
486 views
0 replies

What is New in RavenDB 3.0: Operations–Production View

One of the most challenging things to do in production is to know what is going on? In order to facilitate that, we have dedicate some time to exposing the internal guts of RavenDB to the outside world (assuming that the outside world has the appropriate permissions).

Rishav Rohit10/07/14
2232 views
0 replies

What is Write Concern in MongoDB?

In MongoDB there are multiple guarantee levels available for reporting the success of a write operation, called Write Concerns. The strength of the write concerns determine the level of guarantee.

A. Jesse Jiryu Davis10/07/14
2204 views
0 replies

Motor 0.3.3 Released

Today I released version 0.3.3 of Motor, the asynchronous MongoDB driver for Python and Tornado. This release is compatible with MongoDB 2.2, 2.4, and 2.6. It requires PyMongo 2.7.1.