Types of NoSQL Databases
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00:00:00Introduction to NoSQL Databases
00:00:33MongoDB's Role in NoSQL
00:01:02Document Databases Explained
00:01:30Key-Value Stores Simplified
00:02:04Column-Oriented Databases
00:02:35Understanding Graph Databases
00:03:09NoSQL Database Diversity
00:03:44Additional Resources and Closing
The primary focus of the video is to introduce viewers to NoSQL databases, their types, and their advantages over traditional SQL databases, with an emphasis on MongoDB's document database model.
🔑 Key Points
- NoSQL is an umbrella term for databases that differ from traditional SQL databases.
- NoSQL databases have various data models, not limited to rows and columns.
- There are four main types of NoSQL databases: document, key-value, column-oriented, and graph databases.
- Document databases, like MongoDB, store data in JSON or BSON format, offering flexibility and ease of use for developers.
- Key-value stores are the simplest NoSQL databases, storing data as key-value pairs.
- Column-oriented databases optimize for analytics by organizing data in columns.
- Graph databases focus on the relationships between data elements and are useful for storing and processing unstructured and semi-structured data.
🔗 Related Links
Full Video Transcript
if you're newer to nosql databases and want to learn more about what they are this video is for you welcome back to our Channel I'm Megan from mongodb's developer relations team here at mongodb we talk a lot about nosql databases because that's what we are but what does that even mean nosql is technically an umbrella term for any alternative system to traditional SQL databases nosql databases use a data model that has a different structure than the rows and columns table structure used with rdbms now within nosql databases there are actually four types document databases key value stores column oriented databases and graph databases let's talk about each of these in a little more detail first up we've got document databases a document database like mongodb for example stores data in a Json or bson format you can access store and retrieve documents from your database in a form that is much closer to the data objects used in applications this means that less translation is required to use and access data in an application document databases are popular with developers because they offer the flexibility to rework their document structures as needed to better suit their applications in SQL databases however intervention by database administrators may be required to change the structure of a database next we have key value stores and this is the simplest type of nosql database every element is stored as a key value pair consisting of an attribute name or the key and a value this database is like an rdbms with two columns the attribute name such as state and the value such as Alaska third we have column oriented databases while an rdbms stores data in rows and reads it row by row column oriented databases are organized as a set of columns when you want to run analytics on a small number of columns in a database you can read those columns directly without consuming memory with unwanted data finally we have graph databases a graph database focuses on the relationship between data elements each element is contained as an node the connections between elements in a database are called links or relationships connections are first class elements of the database stored directly these databases are diverse in their data formats and applications furthermore systems store data in different ways these differ from rdbms in that they can be schema agnostic which allows unstructured and semi-structured data in a network to be stored and processed this was just the tip of the iceberg and we've got a whole lot more where that came from in the description below we're leaving a few more links to other videos and articles that you might find helpful if you're still here it's because you found this video valuable and we'd be very grateful if you could give it a thumbs up if you haven't already be sure to subscribe to our channel so you never miss our content and we'll see you next time
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