It is well known that a database is the fundamental building block for any data-based initiative.
Databases are used when collecting, storing, processing, and analyzing data. A database is the silent component that drives business decisions and operational improvements or simply keeps track of inventory. As much as the database should be the almost invisible part of these processes, it is crucial to make the right choice. While it might look easy to select a suitable database, there are a few things to evaluate when making a decision.
Let's look at five things you need to evaluate when picking a new database for your next data project.
Solutions Review's listing of the best database virtualization tools is an annual mashup of products that best represent current market conditions, according to the crowd.
Our editors selected the best database virtualization tools based on each solution's Authority Score; a meta-analysis of real user sentiment through the web's most trusted business software review sites and our own proprietary five-point inclusion criteria.
The editors at Solutions Review have developed this resource to assist buyers in search of the best database virtualization tools to fit the needs of their organization. Choosing the right product and solution can be a complicated process - one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we've profiled the best database virtualization tools all in one place. We've also included solution and product line names and introductory software tutorials straight from the source so you can see each solution in action.
Graph databases are gaining in popularity, yet surprisingly, they've been around for over two decades. To understand more about the rise and use of graph databases, Enterprise Times spoke with Dr Yu Xu, CEO of TigerGraph.
One of the challenges of any database technology is maturity and acceptance. Yet, given the size of the market, there should be plenty of room for multiple technologies. We asked Dr Xu what has been holding graph databases back.
Dr Xu replied, 'It's harder to make a breakthrough because people feel more comfortable with traditional databases, like a relational database. They think they can use the relational database for everything and don't need any other tools.' The problem here is that we know the RDBMS is struggling to support all our use cases.
See all Archived IT - Database articles
See all articles from this issue