Learn about the latest release of RavenDB 5.1 which is a powerful database and the recent 5.1 release gives you a lot more options about how you can work with your data and process it.
RavenDB has been around for a while. The first production deployment (the backend for monitoring bird migration patterns in Norway) went live on Nov 2010. After a decade of working on the database, I thought that I had a pretty good idea about the kind of features that RavenDB has and what is the direction the project is going.
In RavenDB 5.1, among other features, we added the ability to access the contents of an attachment during the indexing process. This means your indexing function can operate on attachments of documents and thus make the content of the attachment available for queries.
In this post, you will learn model queries work in Django with interactive Django shell and the shell is very powerful tool to make the django ORM queries.
The query engine is used to process the Nebula Graph Query Language statements. So, an architectural overview of the Nebula Graph query engine is important.
AOL Email is one of the leading web email services. It has a number of features who access easily at any place. Through this, you can easi...
Overview on AlaSQL, the popular lightweight client-side in memory SQL database, including a real life example of AlaSQL in action. I was surprised to see that there aren’t more posts about this popular lightweight client-side in-memory SQL database online apart from this awesome article I found.