Neo4j Alternatives and Competitors
The graph database management system known as Neo4j was first introduced in 2007. Neo4j is built using the Java programming language, but it can be accessed from software developed in other languages by making use of the cypher query language and either the transaction HTTP endpoint or the binary bolt Protocol.
Data and information are saved in Node4j in several formats including edge, node, and attribute. Both edges and nodes have the ability to be labelled, and both can have any number of properties.
The use of labels allows for more specific searches. There are other options available than Neo4j that offer functionality that is comparable to that offered by Neo4j. In the following paragraphs of this post, we will talk about the many choices.
Best Neo4j Alternatives
The list of Best alternatives to neo4j can be found below.
1. Cassandra
It is a distributed NoSQL database management system that is open-source and free to use. Its purpose is to manage big amounts of data that are spread across multiple accommodation servers.
Its distributed design has been optimised for deployment across several data centres, redundancy, preparation for failure, and recovery from disaster. It did this by introducing CQL, which stands for Cassandra query language.
This language provides an interface that may be used to access Cassandra in place of the more conventional SQL language. Cassandra replicate data automatically to several nodes for fault tolerance.
Replication strategies are adjustable. This database management system is a cross between a key-value and a tabular organisation.
Also Read: Cassandra Alternative
2. Redis
It is a remote dictionary server that functions as a distributed key-value database that operates in memory. It is able to support a wide variety of abstract data structures, including lists, maps, text, bitmap, streams, and spatial indexes, among others.
It is capable of providing master replica replication. It is possible to replicate data from any media server to an unlimited number of copies. The other replica can take its cues from the first clone, which acts as a master. Because of this, it is possible to create a replication tree with a single root.
The Cluster is scalable to a maximum of one thousand nodes. Redis is being utilised by a variety of companies, including Twitter, Amazon Web Services, Microsoft, and Alibaba. Caching sessions, applications including message queues, whole page caches, and more are all possible with Redis.
Also Read: Redis Alternatives
3. ArangoDB
It is a decentralised database system that is both open-source and free to use. This database system supports three different data formats, including document, key/value, and graph, all while utilising a single database core and a unified query language known as AQL.
AQL is an abbreviation for the ArangoDB Query language. We are able to define a combination of many data access patterns within a single query when working with ArangoDB.
It offers scalable querying capabilities while working with graph data. ArangoDB connects with native Javascript libraries in a straightforward manner by making use of the Foxx framework.
Also Read: SQLite Alternatives
4. HyperGraphDB
Direct hypergraphs are a sophisticated knowledge management formalism that the HyperGraphDB database management system design is based on.
This formalism is the foundation for the HyperGraphDB database management system architecture. A bit can also be used as an embedded object-oriented database for Java projects of any size.
This is useful for knowledge management, which primarily involves the building of models for persistent memory, artificial intelligence, and the semantic web.
Also Read: Cloud Computing
5. Azure cosmos DB
It is a distributed, multi-model database management system that Microsoft developed specifically for the purpose of handling data on a global scale. In most contexts, the Azure Cosmos DB falls under the umbrella of the NoSQL database category.
It does so by storing things in containers, and those containers are put together in databases, which are comparable to namespaces above the container level. Each and every field within each item is indexed automatically.
TTL, which stands for “Time to live,” is a parameter that can be set at the container level to delete things automatically after a predetermined period of time measured in seconds. The countdown begins as soon as the item’s most recent update has been applied.