One of the most important parts of the function of any company is a secure database. With phishing attacks, malware, and other threats on the rise, it is essential that you make the right choice in order to keep your data safe and process it effectively. However, it can be extremely difficult to choose among the wide variety of database solutions on the market today. Two commonly-used options are Mongodb and Postgresql. What do you need to know about MongoDB vs. PostgreSQL?
In the previous article, we walked through an example of how to use input parameter binding to send data to a MySQL database using the native MySQL C API and then compared that to the clean simplicity of using the SourcePro DB API. In this final article, we are going to walk through building an example that can invoke a stored procedure with an input parameter of the name of a new account holder and an output parameter of the new account id assigned by the database.
AWS Redshift and RDS are two different database products that AWS offers. If you're not sure which one is right for you, there are a few essential questions to answer before making your decision. This article will explore the differences between these two products and help determine which one would be best for your needs. We'll also take a look at how much it costs to use each product so that you can compare them side-by-side and see what's most affordable for your business.
Choosing the right method to store your data can be a critical decision early in the development process. When deciding on which type of database to choose for your project it really comes down to the data structure you wish to use rather than the specific product or provider. In this blog post, we are going to look at relational and non-relational databases and explore the differences and use cases for both.
The time has come for the open-source software revolution to reach SQL.
Thirty five years ago, SQL-86, the first SQL standard, came into our world, published as an ANSI standard in 1986 and adopted by the International Standards Organization (ISO) in 1987. On this Valentine’s Day, we, in BigQuery, reaffirm our love and commitment to user-friendly SQL through a whole slew of new SQL features that we’re pleased to share with you, our beloved BigQuery users.
Most web applications use a data store of some kind, often a relational database. When a web app becomes successful, it can become all too easy to start "hoarding" data in the database. But hoarding data leads to the unbounded growth of database tables (both row count and stored data size). While this works fine to a certain point, it is very useful to prevent some data bloat — or, if you cannot prevent it, to plan for your infrastructure ahead of time to adequately manage growth.
Starting with the 2.7 release, using Cassandra as a configuration datastore for the Kong Gateway will be considered deprecated. Cassandra features will remain in Kong throughout the (currently unreleased) 3.x series, and its use will not be prohibited. However, some newly introduced functionality throughout 3.x may not be optimized for performance or have full functionality when using Cassandra.
