Graph Databases and Their Use Cases

1. What are the suitable use cases of graph databases?
2. What graph databases are used for?
3. Which is not suitable use case for graph database?
4. What is the example for graph database?
5. Which is the best graph database?
6. What are the advantages of a graph database?
7. Does Facebook use graph database?
8. Is GraphQL a graph database?
9. Is MongoDB a graph database?
10. What are graph databases bad for?
11. Does Netflix use graph databases?
12. How do graph databases work?

What are the suitable use cases of graph databases?

Graph databases are therefore highly beneficial to specific use cases:

• Fraud Detection.
• 360 Customer Views.
• Recommendation Engines.
• Network/Operations Mapping.
• AI Knowledge Graphs.
• Social Networks.
• Supply Chain Mapping.

What graph databases are used for?

Graph databases are a special kind of database storing complex data structures that would be infeasible to store in a traditional relational database. They're most notably used for social networks, as they're much more performant for certain queries.

Which is not suitable use case for graph database?

Requirements for write-only transactions and for simple queries that do not have SQL join statements are good indicators that your use case may not be suited to a graph database. Graph databases are designed to traverse stored data very quickly and retrieve results in milliseconds.

What is the example for graph database?

With the Graph Database model, Digital Asset Management becomes intuitive. Graph Database Example: Netflix uses Graph Database for its Digital Asset Management because it is a perfect way to track which movies (assets) each viewer has already watched, and which movies they are allowed to watch (access management).

Which is the best graph database?

Top 10 Graph Databases

• Dgraph.
• OrientDB.
• Amazon Neptune.
• FlockDB.
• DataStax.
• Cassandra.
• Titan.
• Cayley.

What are the advantages of a graph database?

Here, we discuss the major advantages of using graph databases from a data management point of view.

• Object-Oriented Thinking. ...
• Performance. ...
• Better Problem-Solving. ...
• Update Data in Real-Time and Support Queries Simultaneously. ...
• Flexible Online Schema Environment. ...
• Make Powerful Recursive Path Query Easily Accessible.

Does Facebook use graph database?

Facebook shifts to a TAO data store

They built a graph database. ... Even with most of the common chores encapsulated in a data access library, using the memcache-MySQL combination efficiently as a data store required quite a bit of knowledge of system internals on the part of product engineers.

Is GraphQL a graph database?

While GraphQL technically has little to do with Graph Databases, they are not a perfect match like sausages and mash, GraphQL is just another API / query technology, and not as expressive as the native graph database query languages like SPARQL, but in itself is a high-utlity, very sweet technology.

Is MongoDB a graph database?

Users of the MongoDB NoSQL data store can now store graph databases in it. Today the company announced the introduction of MongoDB 3.4, and with it came a host of new features, including the ability to host graph databases. ... If they can get what they need out of Mongo, then they don't have to stand up Neo4j.”

What are graph databases bad for?

Graph databases do not create better relationships. They simply provide speedy data retrieval for connected data. ... Some graph databases, for example, are limited to a single node and can't scale beyond a certain point. Graph databases are not optimized for large-volume analytics queries typical of data warehousing.

Does Netflix use graph databases?

Graph Database with More Than Social Network

Netflix adopted JanusGraph + cassandra + elasticsearch as their graph database infrastructure. The use of the graph database is in their digital asset management.

How do graph databases work?

Graph databases work by storing the relationships along with the data. ... Like other NoSQL databases, a graph database is schema-less. Thus, in terms of performance and flexibility, graph databases hew closer to document databases or key-value stores than they do relational or table-oriented databases.