Arango Reviews & Product Details

It's comprehensible. The tutorials are really great, we can quickly access the power of graph databases. Review collected by and hosted on G2.com.

For the moment, as it is my beginning, I do not have any "dislikes" on the subject. Review collected by and hosted on G2.com.

Best thing is installing process is very easy and friendly, as provide very good docs.. Review collected by and hosted on G2.com.

Not much, but try to provide quick suppoort Review collected by and hosted on G2.com.

From a DBA perspective, ArangoDB is easy to install, update and manage. We are using the ArangoDB enterprise edition on Linux RedHat. For install and update we are using the rpm packages. The user friendly Customer Support responds quickly and helpfully. Hot-Backups uses hardlinks and can be done very fast. Review collected by and hosted on G2.com.

There is no point-in-time backup/restore solution available. Review collected by and hosted on G2.com.

Ease of integration, platform operational management Review collected by and hosted on G2.com.

nothing specific at the moment, the platform is working great Review collected by and hosted on G2.com.

The option to manage graph and collections in the same DB Review collected by and hosted on G2.com.

Their UI is not stable.

They can improve the graph visibility. For example if I want to see the node data, I need to "Edit" the node instead of just hover it Review collected by and hosted on G2.com.

- Powerful and easy to learn query language (AQL).

- K8S operator in case you need to run the database in your own cluster.

- Quick and accurate support Review collected by and hosted on G2.com.

- sometimes, silly bugs occur i.e: in sorting or propagating data to the followers

- visibility of the audit logs in the ArangoGraph platform could be improved Review collected by and hosted on G2.com.

In real world data scenarios, there is often a mix between structured data and unstructured data. The big advantage of ArangoDB is that it allows storing and querying both structured and unstructured data and their complex relations within a single system, making it a lot easier to extract insights from all types of data and also minimizing the attack surface, thus increasing security. Querying can be done with the powerful and extensible AQL query language, via driver packages for languages like TypeScript and Python, and using the powerful and quite unique Foxx microservice package, which also comes with ready-to-use integration examples for common BI tools. ArangoDB is available for all major operating systems, as a container and as a managed service, so it can truly run everywhere, also providing scalability from a standalone single node to an enterprise cluster solution. The community version has a permissive Apache license also allowing commercial use, making it easy to try hands-on whether it is the right solution. The commercially available enterprise version provides some additional features like encryption at rest, and a very responsive and effective customer support. Review collected by and hosted on G2.com.

ArangoDB still lacks some granularity in access control. It is possible to grant read-write or read-only access on a per-collection basis, but not on a document or attribute level. Exposing only specific data based on the user querying, like one would implement with a view in a SQL DB (let's call it "virtual collections"), is currently not possible. Review collected by and hosted on G2.com.

ArangoDB lets you model data without duplicating a large amount of data between tables, avoids the need for large join statements due to traversal capabilities, and lets you have loose schemas by storing JSON data. It's easy to deploy and maintain via helm, and enterprise support is excellent. Review collected by and hosted on G2.com.

Traversals can be expensive and/or slow, and optimizing them can be difficult. There's a lot to consider when structuring the data and writing queries. Review collected by and hosted on G2.com.

Graphing features and functions. Flexible AQL syntax to query documents Review collected by and hosted on G2.com.

It's a bit difficult to maintain the Arango cluster during distributed deployment. Need in-depth knowledge to manage shards. Review collected by and hosted on G2.com.

The combination of document and graph db is very convenient

AQL Query language is robust and easy to learn

Good phase of innovation

Great self-hosted (Kubernetes) support Review collected by and hosted on G2.com.

I would love to see better monitoring and management capabilities in ArangoGraph Insights Platform (hosted)

The ecosystem is not as developed as it is for major databases - Not much of third-party tools for administration, queries, and visualizations Review collected by and hosted on G2.com.