HugeGraph Reviews & Product Details

I am able to parse parallel queries, or queries that deal with billions of vertices and edges, in a split second. This means that I am monetizing my recommendation engine for customers in real-time and without any delays. Review collected by and hosted on G2.com.

It can be a little more difficult to install than other graph databases at the very beginning, but overall it is a pretty good system. It takes somewhat of a learning curve to fine tune the schema and queries to realize its full potential. Review collected by and hosted on G2.com.

It is the fastest data processing opensource for spark and hadoop like bigdata applications for better data insights and data processing. Integrating to the exisiting frameworks of data is so simple and easy. Little difficult as it uses germlin language, but great tool. Review collected by and hosted on G2.com.

being opensource the community is not that big for help sources. Review collected by and hosted on G2.com.

With HugeGraph, I am able to model and analyze many-to-many relationships in social networking data effortlessly. The ability to perform queries on billions of vertices and edges is invaluable for revealing concealed patterns or trends in users’ behavior. Review collected by and hosted on G2.com.

HugeGraph does not possess a mechanism by which it can convert that data into easily understandable and actionable visuals. I believe that this step helps me to realize the story that my data has, and it would not be correct to omit this stage of work. Review collected by and hosted on G2.com.

HugeGraph is built to handle massive amounts of graph data, making it suitable for applications that involve complex relationships and large datasets Review collected by and hosted on G2.com.

Like many distributed graph databases, HugeGraph may have a learning curve, especially for those who are new to graph databases and distributed systems Review collected by and hosted on G2.com.

Scalability: HugeGraph is optimized for large-scale graph storage and analysis, and can handle billions of vertices and edges

Compatibility: HugeGraph is based on Apache TinkerPop and can be used with popular programming languages such as Java, python, and Go.

Security: HugeGraph supports ACID transactions and ensures data integrity nd consistency. Review collected by and hosted on G2.com.

Complex to set up and use.

HugeGraph may not be as fast as other graph databases when it comes to certain types of queries or data sets.

HugeGraph does not have as many third-party integrations as some other graph databases, which can limit its flexibility. Review collected by and hosted on G2.com.