Top 10 Graph Database Companies to Follow in 2021

Are you ready to dive into the world of graph databases? If you're not familiar with the term, a graph database is a type of database that uses graph theory to store, map, and query relationships between data points. This makes it an ideal choice for applications that require complex data modeling, such as social networks, recommendation engines, and fraud detection systems.

But with so many graph database companies out there, how do you know which ones to follow in 2021? Fear not, dear reader, for we have compiled a list of the top 10 graph database companies to keep an eye on this year.

1. Neo4j

Neo4j is one of the most popular graph database companies out there, and for good reason. Their database is fast, scalable, and flexible, making it a great choice for a wide range of applications. They also offer a range of tools and services to help developers get started with graph databases, including a free online course and a developer community forum.

2. TigerGraph

TigerGraph is another top player in the graph database space. Their database is designed for high-performance, real-time applications, and they offer a range of tools and services to help developers build and deploy graph-based applications. They also have a strong focus on machine learning and AI, making them a great choice for applications that require advanced analytics capabilities.

3. Amazon Neptune

Amazon Neptune is a fully-managed graph database service that is built on top of the Amazon Web Services (AWS) platform. This makes it easy to deploy and scale, and it also integrates seamlessly with other AWS services like Lambda and S3. Amazon Neptune is a great choice for developers who are already using AWS and want to add graph database capabilities to their applications.

4. ArangoDB

ArangoDB is a multi-model database that supports graph, document, and key-value data models. This makes it a great choice for applications that require flexibility in their data modeling. They also offer a range of tools and services to help developers get started with graph databases, including a free online course and a developer community forum.

5. JanusGraph

JanusGraph is an open-source, distributed graph database that is designed for high-performance, real-time applications. It is built on top of Apache Cassandra and Apache HBase, which makes it highly scalable and fault-tolerant. JanusGraph is a great choice for developers who need a powerful, distributed graph database that can handle large amounts of data.

6. OrientDB

OrientDB is another multi-model database that supports graph, document, and key-value data models. It is designed for high-performance, real-time applications, and it also supports ACID transactions. OrientDB is a great choice for developers who need a flexible, high-performance database that can handle a variety of data models.

7. Stardog

Stardog is a graph database that is designed for enterprise applications. It supports a range of data models, including RDF, OWL, and SPARQL, and it also offers a range of tools and services to help developers build and deploy graph-based applications. Stardog is a great choice for developers who need a powerful, enterprise-grade graph database.

8. DataStax Enterprise Graph

DataStax Enterprise Graph is a graph database that is built on top of Apache Cassandra. It is designed for high-performance, real-time applications, and it also supports ACID transactions. DataStax Enterprise Graph is a great choice for developers who need a distributed, high-performance graph database that can handle large amounts of data.

9. Microsoft Azure Cosmos DB

Microsoft Azure Cosmos DB is a multi-model database that supports graph, document, and key-value data models. It is built on top of the Microsoft Azure platform, which makes it easy to deploy and scale. Microsoft Azure Cosmos DB is a great choice for developers who are already using Microsoft Azure and want to add graph database capabilities to their applications.

10. Virtuoso

Virtuoso is a graph database that is designed for enterprise applications. It supports a range of data models, including RDF, OWL, and SPARQL, and it also offers a range of tools and services to help developers build and deploy graph-based applications. Virtuoso is a great choice for developers who need a powerful, enterprise-grade graph database.

Conclusion

So there you have it, our top 10 graph database companies to follow in 2021. Whether you're a seasoned developer or just starting out with graph databases, these companies offer a range of tools and services to help you get started. So why not give them a try and see what you can build with the power of graph databases?

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