
The AQL query language is the best by far.
What I also like a lot is that you can start using arango as a replacement for mongo and progressively as the project scales you might need the search or graph etc so no extra database is needed, and that's awesome! Review collected by and hosted on G2.com.
What I don't like is the fact that if you want to start using the cloud version, you have to go to a paid version from day one.
There should be a free tier for people to play around for very small projects.
AWS, Google etc have free tiers for their databases to attract more developers to use their services. Review collected by and hosted on G2.com.
Being a startup our solution went through multiple iterations and changes at a rapid pace, we were able to keep up with the changes on the data side easily with Arangodb. Queries are simple and straightforward making complex querying easy. The web interface enables the rest of the team with the least Arangodb knowledge to cope easily. Strongly recommend for growing teams and startups. Review collected by and hosted on G2.com.
The community is not big and matured yet. Review collected by and hosted on G2.com.
I love the way you can easily use AQL queries, the documentation is comprehensive, also the software has a good default configuration, it also provides good facilities, it also allows to combine multiple functionalities within a single query that resembles a function in the language. programming, it also provides a robust and feature-rich database implementation, the ability to have a document store with junctions and graphics connections with cluster support is amazing, it also has excellent graphics features that allow it to be used as a single data source for a variety of client applications. Review collected by and hosted on G2.com.
I still don't have a bad experience with this product or anything that I might dislike about it, it offers me a large amount of very high quality data. Review collected by and hosted on G2.com.
Multi model
AQL
Foxx Microservices framework
Arango search
Arango Oasis
Arangdb brings database technology to the next level. It simplifies the data model in an organisation by going away from the need of polyglot persistence. AQL is an amazing stuff which combines all the data model in one query and it’s ability to return back data in various structures. The recent addition of Arango search is a promising feature which can currently perform good amount of search patterns with out needing any additional persistence from the application. In my opinion Arango is a true multi model database which can perform a variety of user requirements. I really enjoyed working with it. Review collected by and hosted on G2.com.
I think the Arango web UI can be enhanced to have many features which includes taking hot backups Review collected by and hosted on G2.com.
This database is very simple to visualize and implement your data models. Also the querying in AQL are pretty simple. Anyone with basic programming knowledge too can adapt to it quickly. The graph features provide a completely different picture. Review collected by and hosted on G2.com.
Not much about the database, but the documentation for the drivers of arango is quite ambiguous & not well written. It could have been much simpler. Review collected by and hosted on G2.com.
Being a document based database, it is flexible to store any kind of schema. Review collected by and hosted on G2.com.
I think, it is not very popular or not having broad community like mongodb. Sometimes you may not find the well support for issues that you are facing. Review collected by and hosted on G2.com.
The AQL, gives us the way to write any complex query which was difficult to write in other languages. Review collected by and hosted on G2.com.
Inbuilt methods, there should be some inbuilt methods to fetch the data quickly from database where users don't have to write the query. Review collected by and hosted on G2.com.
1. It' easy to install both a single ArangoDB instance and ArangoDB cluster cross different OS, including CentOS, Ubuntu, MacOS and Windows. You could try and test graph database just through several steps.
2. The AQL is easy to learn and understand. The official document about AQL is very detailed. Everyone could learn it just by reading the AQL document.
3. The most important thing is that the AQL for graph traversal is very efficient. For a graph consisting of one hundred thousand nodes, it takes half an hour to query all rings which includes 6 to 12 nodes.
4. ArangoDB is schema free for a big graph. So it's easy to modify the graph structure without considering different problems.
5. ArangoDB support different cluster modes. That means however big your data is ArangoDB could dynamically scale out or in. Review collected by and hosted on G2.com.
1. The graph display is not as clear as Neo4j. Although the GUI is not so important for a programer, it's a big problem for general customers because a beautiful and clear GUI could be more understandable for them.
2. ArangoDB could consider supporting Cypher. Cypher is easier to understand and many people have learnt it so maybe they don't like to learn so many different query languages. Review collected by and hosted on G2.com.
One of the best database which gives almost all the features that needed for developing a product. Gives a very good performace, great community, great documentation etc. Review collected by and hosted on G2.com.
The product we are developing it gives everything we need. So nothing so far. Review collected by and hosted on G2.com.
Migrating a project to ArangoDB from a document DB was intimidating at first but with all the tools it comes packing made it much easier. The query language has a pretty shallow learning curve while at the same time equipping you with so much power.
The rich web interface was the most useful for me; it allowed me to play around with data and queries before committing anything to actual implementation. Review collected by and hosted on G2.com.
I've had no complaints so far, but I'll be sure to raise if I have any Review collected by and hosted on G2.com.
The multimodal helps us to achieve variety of solutions to all kinds of problems using the same database.The aql query is also so advanced. Review collected by and hosted on G2.com.
There are small bugs coming up, sometimes.
But they are really improving the performance and functionalities as well. Review collected by and hosted on G2.com.
This db is a power house of all no sql possibilities. With an active forum and slack channels, the support provided (even for community users) is great. We had used Neo4j before but it limits a lot of things for its enterprise edition and hence we moved on to Arango and we are indeed happy. Review collected by and hosted on G2.com.
The docs are incomplete at a few places. Initially it was a bit difficult to find answers, but the Slack groups were super helpful. Review collected by and hosted on G2.com.
1) Amazing feature-rich query language (AQL), subjectively much easier to use if compared to GraphQL
2) Pregel engine with major graph traversal algorithms available out-of-the-box - we were able to remove large piece of homebrew code with it
3) Nice performance at scale, both write and read
4) Inverted Index available in ArangeSearch - lighting fast!
5) Comprehensive admin UI Review collected by and hosted on G2.com.
1) Slow built-in graph visualization, it makes difficult to explore graphs from admin UI.
2) Need to re-write code when switching from single node to cluster node.
3) Slow analytical queries, e.g. aggregations for entire collection. However it's not the primary case for multi-model databases at all. Review collected by and hosted on G2.com.
The multi-model Document/Graph paradigm is a big draw, and good search performance & a very intuitive query language makes the database genuinely enjoyable to use. Documentation is good, and development/support pace is fast. Review collected by and hosted on G2.com.
Some search error messages can feel opaque, although errors should be rare. Review collected by and hosted on G2.com.
I am currently using ArangoDB on my Python project, via python-arango. I am loving the way you can easily use AQL queries on your DB transactions, as well as managing your database and collections. You can also setup a highly available database or a main-failover setup, which can make your backend implementation better. Review collected by and hosted on G2.com.
I don't think I have a dislike on any ArangoDB features, since all or most of my usage are fluently fine. Review collected by and hosted on G2.com.
So many software companies have a “good produce” but have huge gaps somewhere - poor support, steep learning curve, extraordinarily high pricing, ridiculous development base (“Jython”, I’m looking at you!), etc.
ArangoDB is the first product I have used (in 20 years!) that is complete. It is developer-friendly, user-friendly, has amazingly good support, is extremely performant, plays nice in cloud-native land, has built-in clustering, and (last, but NOT least) IT WORKS!
I am continually amazed at how often I am PLEASENTLY surprised by features, performance, or the company. Review collected by and hosted on G2.com.
Honestly, there isn’t much to NOT like. The only complaint I’ve had so far is that I had to change my query style to be able to fully utilize clustering. This meant learning, but it works. Review collected by and hosted on G2.com.
The semi-structured and very extensible document model, combined to most of the assets of a hard RDBMS : indexes, joins… plus a few interesting capacities : fulltext indexation, cluster mode. Also, the very active and helpful developers team. Review collected by and hosted on G2.com.
Sometimes it feels like some features are still lacking or don't give their full potential yet, but the product is constantly evolving and new features appear every month. Review collected by and hosted on G2.com.
Very flexible that does not force the user to focus only on a single data model.
key/values, documents or graphs in the same database and possibility of using everything simultaneously!
It is very noticeable that its creators have a deep knowledge of different types of databases.
It is very easy to understand the concepts of this database. The query language is very powerful and easy to understand. Extensive documentation that helps you practice and use ArangoDB in the coming hours!
Our projects (accouting, web applications, budgets) are very complex and we need a multi-model approach. In other databases we do not have this opportunity.
This database has a good technical support. ArangoDB regularly organizes webinars and training. The product is well maintained and the company is able to create several upgrades (version) in one year!
ArangoDB is fully ready for the production environment.
It is very nice that the company gives you all the time you need to test this database.
We have never felt pressured by the evaluation period that in the case of ArangoDB is unlimited. Review collected by and hosted on G2.com.
I have nothing to dislike!
At this time, this database covers all our production project needs.
Honestly and responsibly I would say that this database deserves one of the best positions in the market. Review collected by and hosted on G2.com.
The AQL query language is very easy to use, and powerful at the same time Review collected by and hosted on G2.com.
Because it's still very new and not yet super popular, there is a severe lack of tools and the community is still very small. But that is very likely to improve over time, as the product itself is truly fantastic. Review collected by and hosted on G2.com.
Ease of use, nice admin ui where you can test queries (and explain them) and play with arango, many driver options. Overall a good developer experience. It is under active development and there is a github/slack where the arango team responds to issues. AQL is simple and parallels SQL nicely while offering some of its own special things. Review collected by and hosted on G2.com.
Some small bugs and quirks. Have upgraded a few times to get bugfixes. I dislike that there are enterprise only features. (I guess you gotta make money somehow.) I also found that under heavy load I experienced seemingly random errors and that my applications could overload the database, locking it up. The java driver didnt have all the features I wanted, namely a connection health check. One pesky frustration is that when you google stuff from the documentation, the top result is often not the current version of the documentation, and then switching versions on the page brings you to the documentation home page. Review collected by and hosted on G2.com.
The database allows you to the ability to literally serve any of your use-case and replace any of your current databases. It can act like a schema-less document store or as a graph database, that too without giving up on RDBMS features like Joins.
The query language AQL is especially very powerful.
Besides, the community is great and helpful! Review collected by and hosted on G2.com.
Not anything specific actually, it is actually great.
The performance of RocksDB storage engine is comparatively lower than the standard mmfiles; But that TBH is not a reasonable thing to expect and would be like comparing apples to oranges because that performance is gained at the cost of resources. Review collected by and hosted on G2.com.
Everything. All just work!
Graph DB
Document Store
Key-Value Store
HTTP Rest Endpoints (and GraphQL)
AQL Review collected by and hosted on G2.com.
Javascript. My problem
Web UI is sometimes a little unresponsive but easily fixed. Review collected by and hosted on G2.com.
AQL is rather easy to pick up and feels rather natural. The web interface is perfectly fine. The documentation is comprehensive and the community is absolutely friendly and helpful. It is backed up by a motivated company and the contact to the people over there has always been a pleasure.
The multi-model approach is great and enables us to fulfill the whole of our project needs with just one DB product.
The integration of Foxx Microservices directly into the DB is a nice topping. The balance between open source and enterprise features is at a sweet spot. Review collected by and hosted on G2.com.
Honestly? There is nothing I dislike at this point. Review collected by and hosted on G2.com.