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).
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.
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.
I am thrilled to announce the availability of this major release. Couchbase Server 3.0 is a monumental release in the company’s history. With this release we have further strengthened our core architecture, which is amplified through new features we’re releasing in 3.0.
If you haven’t heard of the meteoric rise of NoSQL, you’ve been living in a hole. Likely at the bottom of the ocean. In the Mariana trench. What you probably haven’t heard, what’s been lost in all the hype, is that NoSQL’s unprecedented growth has very little to do with “big data” or “SQL”!
ActiveMQ supports pluggable JAAS modules that handle the authentication of incoming requests. ActiveMQ comes preloaded with a few JAAS modules, none of which supports MongoDB as the backend repository of the authentication data.
After hundreds of hours of work from numerous contributors over the past year, Neo4j.rb, the ActiveRecord replacement for Ruby on Rails and Rack frameworks, has been released!
This has been the most important change in RavenDB 3.0, in my opinion. Not because of complexity and scope, pretty much everything here is much simpler than other features than we have done. But this is important because it makes RavenDB much easier to operate.
This presentation will give developers an introduction and practical experience of using MongoDB with the Go language. MongoDB Chief Developer Advocate & Gopher Steve Francia presents plainly what you need to know about using MongoDB with Go.
Let's dissect the Fall 2014 NoSQL Benchmark. Apache Cassandra / DataStax Enterprise. MongoDB. Couchbase Server. Go.
SQL Replication has been a part of RavenDB for quite some time, showing up for the first time in the 1.0 build as the Index Replication Bundle. This turned out to be a very useful feature, and in 3.0 we had a dedicated developer for this for several weeks, banging it into new and interesting shapes.
Every week here and in our newsletter, we feature a new developer/blogger from the DZone community to catch up and find out what he or she is working on now and what's coming next. This week we're talking to Itamar Haber, Chief Developers Advocate at Redis Labs.
If you missed anything on DZone this week, now's your chance to catch up! This week's best include 10 questions to ask in programming interviews, why we need functional programming, the high price of the Internet of Things, how testability does not equal good design, and more.
One problem I’ve seen a few people have recently when using Neo4j’s LOAD CSV function is dealing with CSV files that have dodgy hidden characters at the beginning of the header line.
MongoLab runs all of its hosted MongoDB deployments with authorization enabled, which means that username / password authentication is required before your database can be accessed.
Replication is kinda important to RavenDB. It is the building block for high availability and transparent failover, it is how we do scale out in many cases. I think that you won’t be surprised to hear that we have done a lot of work around that area as well.
Know MongoDB and Java EE, but you don't know exactly how to integrate both of them? Do you read a lot about the topic but you have not found a solution which fits this purpose? This starter project is for you.
We talked a lot about the changes we made for indexing. Now let us talk about the kind of changes we are talking about from the query side of things. More precisely, this is when we start asking questions about our queries.
Who says you need one of those new-fangled rapid-prototype languages like Ruby to get things done quickly? Certainly not Trisha Gee, who in this recent talk demonstrates that a language like Java can be used just as efficiently to quickly build a web application.
In this article, I hope to share some of these lessons with you and give you the practical advice I wish someone would have given me before I started. So here goes.
This post is a follow up to my first post on Product Catalog Schema Design for MongoDB. Now that we have established a strong basis for our product catalog, we are ready to dive into one the most important feature: Product Search.
We talked previously about the kind of improvements we have in RavenDB 3.0 for the indexing backend. In this post, I want to go over a few features that are much more visible.
To demonstrate the ability of the LINQ provider, we will fetch data from the Couchbase sample repository, a beer-sample bucket that includes documents about beers and breweries.
This post is part of the Product Catalog MongoDB Series, in which we will cover many aspects of building a Product Catalog with MongoDB. This approach has been tested with a varied product catalog of 130 million items running on a single server (EC2 i2.2xlarge).
If you missed anything on DZone this week, now's your chance to catch up! This week's best include four ways to loop over a hashmap in Java, how to reduce boilerplate code in Java applications, an infographic of the IoT developer mindshare, dropping the R and M from ORM, and more.