6 Best Graph Databases in 2023 (Open Source)
You can manage many-to-many relationships effortlessly and store data effectively with the top open-source graph databases listed in this article.
Management of interconnected data becomes a cakewalk with graph databases. However, it is not an easy task to select one as the marketplace has a variety of options with a plethora of features.
Therefore, through this article, we acquaint you with the best graph databases, curated after deep research and analysis.
Before moving on to the list of the best open-source graph databases, it is crucial to understand what exactly a graph database is.
If you know what a graph database is and the qualities of the best databases, selecting one for your needs becomes much easier. Hence, first, let us discuss the same.
What Are Graph Databases
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.
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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
- Offers a lot of modeling flexibility
- Fast and reliable
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
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Next, we would like to introduce you to OrientDB. It is a multi-model database with support for both NoSQL and SQL databases.
One of the most notable things about OrientDB is that it boasts ACID transactions and integration with Apache TinkerTop, a well-known framework for graph computing.
Moreover, the following are other worth-mentioning OrientDB features.
Key features of OrientDB
- High performance
- Data model flexibility
- Ability to store over 220,000 records every second
- Availability of a large community
When the discussion is about the best open-source graph databases, we cannot skip RedisGraph. Created on Redis, this database is well-known for its features, like support for ACID transactions.
Moreover, the following features contribute to the reasons RedisGraph is among the best graph databases in 2023.
Key features of RedisGraph
- Top-notch performance
- Highly flexible
- Light in weight
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Next on our list of the best graph databases is TigerGraph. It is a popular database due to its support for real-time deep link analytics for organizations dealing with large volumes of data.
Moreover, the following are some other praiseworthy TigerGraph features.
Key features of TigerGraph
- It can be used for IoT, machine learning, and AI applications
- Offers personalized recommendations
- Stores data using a native graph structure
- Stored in memory and on the disk
- Makes use of CPU cache for quick retrieval
- Highly scalable
- Performs parallel processing using the Map Reduce function
- Compresses data by 10x using data compression techniques
- You can use TigerGraph for fraud detection
Additionally, the following features also justify Cayley’s position on our list.
Key features of Cayley
- Boasts a modular design
- Capable of interacting and integrating with different backend stores such as MongoDB and LevelDB
- Cayley can be deployed in Kubernetes and Docker
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Summing Up the Best Graph Databases
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.