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.
OrientDB 2.0-M1 (milestone 1) has been released! According to the announcement from Luca Garulli at Orient Technologies, the big changes in this version focus on performance upgrades and user experience.
RavenDB indexes are one of the things that make is more than a simple key/value store. They are incredibly important for us. And like many other pieces in 3.0, they have had a lot of work done, and now they are sparkling & shiny.
You’re probably already familiar with relational database development, but while many of the same practices apply, keep in mind that Redis is an in-memory database and it is (mostly) single-threaded.
Therefore, there are several peculiarities you should pay attention to when using Redis:
I’m not sure that there is a better word to describe it. We have a sign in the office, 3 feet by 6 feet, that says: Reduce Friction. And that is something that we tried very hard to do.
Shortly after the first beta release, I'm very happy to announce the second beta release of the Java/JVM SDK release train nicknamed Armstrong. It contains both the core package "core-io" 1.0.0-beta2 as well as the Java SDK 2.0.0-beta2.
Sentiment analysis uses natural language processing to extract features of a text that relate to subjective information found in source materials.
It's fair: you're interested in NoSQL, but maybe your team doesn't have the resources to fully commit just yet. Maybe you still need traditional SQL for analytics and accessibility to non-developers. In that case, you might be interested in SlamData, a SQL-compatible interface to NoSQL databases.
If you missed anything on DZone this week, now's your chance to catch up! This week's best include Java 9's ultimate feature list, how NuoDB's stored procedures can help you maximize Hibernate performance, 17 wearables killed by the Apple Watch, and more.
With RavenDB 3.0, we release an official Java Client API for RavenDB. Using it is pretty simple if you are familiar with the RavenDB API or the Hibernate API.
Some call it “bayduh,” while others, like my colleague Don Pinto here at Couchbase, call it “bee-tah”; but whatever you call it, we're shipping it! After many months of development and three developer previews, we proudly present the Couchbase .NET SDK 2.0!
A frequent request from RavenDB users was the ability to store binary data. Be that actual documents (PDF, Word), images, or very large items (videos, etc). RavenDB can do that with attachments, but attachments were never a first class feature. With RavenFS, files now have first class support.
Recently, Thumbtack Technology published a blog post highlighting the final results of the NoSQL benchmark. In June, the databases were benchmarked on 4 physical servers. I could see MongoDB and DataStax in the rearview mirror.
If you have been following this blog at all, you must have heard quite a lot about Voron. If you haven’t been paying attention, you can watch my talk about it at length, or you can get the executive summary here.
The 2014 Cassandra Summit went on for the last two days. You may have been there if you're a hardcore Cassandra fan. This year's event, though, also marked the release of Cassandra v2.1.
I started my career writing applications for a Call Center at a small bank in Florida. I remember the bank had purchased whatever the “Cadillac” of IVR systems was then for some crazy amount of money. A few years ago I built one for a property management firm, I’ll use that as an example.