The main feature I found as a user and from the benchmarking perspective was that it is embeddable. I can simply use the database by including a jar and update it when necessary. There are no mash-ups or complications of having to explicitly keep the server started for the database. In addition to having implemented the Tinkerpop stack, which is the standard for graph APIs, there is little transition time between using other graph databases and OrientDB. And, of course, the transition from SQL to Graph becomes simple since it supports SQL-based syntax. Review collected by and hosted on G2.com.

Many times when the nodes go down (using a distributed configuration), there are inconsistent states that remain unresolved. The database has to be deployed again. Also, when I scaled my cluster, I had to manually move all the data from the smaller cluster to the larger one. Review collected by and hosted on G2.com.

We can map hierarchy mapping easy. Have edge and vertext nice to map Review collected by and hosted on G2.com.

Problem in delete edge.when delete vertext edge already there.doesnt delete that.thats increase memory Review collected by and hosted on G2.com.

Can be descrived in just three words. Flexibilty, performance and sql to graph convefsion is fairly good. Review collected by and hosted on G2.com.

More documentaion and improvization on driver support end. Review collected by and hosted on G2.com.

Simple to use, ease of modification and the best part is transition from SQL to Graph is very simple as it gives SQL-based syntax. No necessity to keep the server started for the database. Support is very good and also have a community for it. Provides a very fast query engine. Any organisation can develop their own application on OrientDB because of its flexible java api support. Review collected by and hosted on G2.com.

This database should have a better driver support. Concerns with scalability. Have much scope of improvement in production grade transactions. Sometimes faced performance issues when accessing huge records at a time. Review collected by and hosted on G2.com.

Ease in usability, Conversion from SQL to graph is very fast and easy. Fast Query processing and efficient data retrieval.

Will work even if the server is not turned on state.

Api support is great which helps in developing wrappers for applications.

Embedded maps is a great functionality Review collected by and hosted on G2.com.

Nothing to dislike, The features are self fulfilling in every nature. Driver functionality is weak, needs improvisation. Review collected by and hosted on G2.com.

Orient dB is Fast and flexible and replication of databases Review collected by and hosted on G2.com.

Need more Documentation, mostly for query Review collected by and hosted on G2.com.

The speed and ease of use, makes it very ease to see the data in a friendly format Review collected by and hosted on G2.com.

Not fully supported across all of our systems Review collected by and hosted on G2.com.

The multi model graph-based design is my favourite aspect. It allows me to easily follow the document database. The identification, passwords and encryption ensures our date remains confidential. Review collected by and hosted on G2.com.

Can be a very costly program to run however it's worth it! Review collected by and hosted on G2.com.

1. Elaborated documents for a beginner without any graph background knowledge to grasp basic graph theory and orientdb practice.

2. Build on Java platform, which is our company's main dev language as well, it's too easy to spend much time customizing various implementation as we demand. Review collected by and hosted on G2.com.

The infrastructural graph engine/model can't support too much online real-time concurrency(OLTP), especially when facing to plenty of edges concurrency maintenance on super node.

As of now, we can realize real-time in other way, it'll be just perfect if someday orientdb support high-concurrency well. Review collected by and hosted on G2.com.

We’re a consultancy company who helps clients adopt Big Data technologies, and Graph is increasingly becoming an important aspect of the data-stack; especially for complex and connected data-sets such social network applications and analysis. We have a number of customers using Orient with 50-million + node/relationship workloads. We’ve worked with all the major Graph platforms and Orient is currently our preferred choice. Performance is great and the query language, being a hybrid of standard SQL & Graph means adoption is easier than if using Gremlin or Cypher, both of which look great at first but query complexity can escalate rapidly. Orient’s mix works in practice. Another feature we like is the ability to query it via standard JDBC connections, which means standard tools such as DB Visualizer work; which just make using it more pleasurable than rivals. We develop in Java, and their APIs are rock solid. Pricing is also more reasonable that rivals; making horizontal distribution more practical. Review collected by and hosted on G2.com.

Sometimes the Orient Studio forgets the visualisation settings for the Graph so all the lovely setup work you’ve done to make it look pretty gets lost. Sort it out Orient! Review collected by and hosted on G2.com.