Graph Databases are databases to store and represent data using graph structures with edges, nodes, and properties.
Going deeper into the details, vertices or entities in the graph are nodes. Whereas, relationships or lines that connect the nodes are edges. And the attributes on edges or nodes are known as properties.
Used in search engines like the Knowledge Graph of Google, these databases provide users with more flexibility than a relational database, making them a better choice for managing interconnected information.
While choosing the best graph databases for your requirements, you should look for the following qualities or features.
Qualities of the Best Open-Source Graph Databases
The top and most reliable graph databases are the ones with all or most of the following features.
Native graph storage to protect relationship information
ACID, i.e., Atomicity, Consistency, Isolation, and Durability compliance
Availability of support and extensive tools for all types of users
Building databases and maintaining them
Easy creation, viewing, and manipulation of graphs
Query and graph indexing, backup, and archiving
After understanding graph databases and their common qualities, let us proceed to the best graph databases in 2023.
List of the Top Open-Source Graph Databases in 2023
You may choose from the best graph databases shared in the following list.
1. Amazon Web Services (Amazon Neptune)
First, we would like to introduce you to Amazon Neptune. The Amazon Neptune platform of Amazon Web Services is a graph database to create and run apps that function with extremely connected sets of data.
Designed for workloads requiring high throughput and low latency, Amazon Neptune has many unique features. We share them below.
Key features of Amazon Web Services (Amazon Neptune)
Boasts support for popularly used graph query languages
Next, we have Neo4j on our list of the best open-source graph databases. It is a great choice if you do not have much experience with graph databases due to its large community and plethora of resources.
Additionally, a highly attractive feature of Neo4j is that it stores data natively, making it easier to decode. Furthermore, the following are some other noteworthy features of this database.
Key features of Neo4j
Implemented in Java
Easy to learn
Comes with a free option
Known for its high performance
Capable of handling heavy workloads in machine learning
Through this article, we brought to light various top graph databases you may use for querying many-to-many relationships effortlessly and performing effective data storage. These databases boast high performance, scalability, and integration with third-party tools, languages, and APIs.
You may select any database from the above list depending on your requirements. In case of any questions or confusion, we are just a comment away. Also, let us know your thoughts about this article through the comments section.
Niharika is a passionate soul who finds immense satisfaction in putting all her thoughts in writing. Being a technology enthusiast, she loves learning new things about tech and making everyone technologically literate through her articles. When not composing tech articles, you can find her bringing characters to life in her fictional stories, reading something intriguing, or spending time with her near and dear ones.
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