ArangoDB Pricing Overview
ArangoDB at a glance
ArangoDB is free & open-source. But there is also a company behind it that offers support services also for ISV & OEM customers. With the additional Enterprise Edition users have more options in terms of security and scalability.
When your project goes live (like many others did), ArangoDB offers subscriptions for dedicated support and contact to experts of the core team. Easy access to hot fixes and emergency patches ensure that your mission-critical applications stay up and running.
| Name | Price | Features |
|---|---|---|
| ArangoGraph Insights Platform | Contact Us | The managed service for ArangoDB provides fully-hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. rices depend on selected cloud provider, region, disk & CPU size.
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| ArangoDB Graph Database Community Edition | Free | ArangoDB Community Edition is native multi-model database written in C++ and available under open-source license (Apache 2). It stores key/value pairs, documents and graphs natively in one database core, and lets users access all data models with one declarative query language (AQL). All data models can be combined in a single query. ArangoDB provides a fault-tolerant cluster management based on the RAFT consensus protocol.
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| ArangoDB Graph Database Enterprise Edition | Contact Us | The Enterprise Edition of ArangoDB focuses on solving enterprise-scale problems and highly secure work with data. Various features like SmartGraphs or SmartJoins allow lightning-fast query execution for graph and relational use cases while 360 encryption, LDAP-integration and Data Masking enable highly-secure work with ArangoDB.
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ArangoDB pricing & plans
See https://www.arangodb.com/subscriptions/ for more information on ArangoDB's commercial subscriptions.
Pricing information was last updated on October 09, 2024Top Rated ArangoDB Alternatives
ArangoDB Pricing Reviews
ArangoDB offers a performant graph data model that offers some key benefits for almost any kind of data structure—not just graph theory applications. ArangoDB and its graph implementation allows you to think about entities semantically, and as standalone objects. Because edges in the graph are distinct from vertices, you can reason about data in isolation from how you or other teams want to create entity relationships.
IME this is a significantly streamlined approach to development, rather than complex ERD diagrams, foreign key constraints, foreign keys added to all tables, etc. that you'd normally use in an RDBMS/SQL setup. There is significant freedom in avoiding the RDBMS model and shoe-horning different data models beneath the same old SQL syntax.
ArangoDB also is trivial to start up via Docker, has a build-in UI that offers all of the fundamentals, and most of what you'd want outside of more hardcore analysis or data UIs. Implementing any size of cloud instance is trivial, and their datacenter locality is now quite good.
ArangoDB uses a performant K/V store based on RocksDB under the covers, including inverted index search out of the box, transactions, dynamic sharding. ArangoDB covers any database need I've had working with B2B/C SaaS products and services, all with a clean built-in interface and easier/possible to scale unlike many problematic document stores that are now rebranding as vector stores rather than (IMHO) getting their fundamentals fixed. Review collected by and hosted on G2.com.
I really don't have dislikes, but there are a couple of things that they could add in the future to improve:
* When introduced in 2020ish, their cloud service (then called Oasis) had some issues with memory usage and silent lockups of Coordinators. That has since been resolved and they're adding more and more observability and resilience every year.
* They're working on a new replication system, which hopefully can be used as a powerful source for event streaming for auditing, ETL, or other purposes.
Other notes:
* I'm not convinced that ArangoDB should add vector store capability (I'd want a separate instance to separate the load profile anyway). It may help from a marketing perspective with the current state of the ebb and flow of AI buzz, but I'd rather it not come at the cost of existing core functionality.
* While the API offers K/V functionality, performing queries or graph traversals requires writing AQL queries. AQL is very powerful, but there's a learning curve, especially if you're used to SQL. As a SQList, you might at first think that "FOR vertex IN collection; FILTER vertex.valid == true;" is going to perform a table scan and filter, for example. But spending the time will reveal some very powerful functionality not possible with SQL. Review collected by and hosted on G2.com.
ArangoDb is an extremeley versatile and well featured database. Being truly mulit-model, it can serve any purpose most developers would require, along with fulltext and geospatial queries.
Whilst our use of ArangoDb has barely touched the surface, we know that the power it can bring is always right there for when we need it
The AQL language is pretty clear, though it can take a little while to fully bake-in how to update or shape results as you need, and the various ways you can filter the data, often means you need to come back and re-factor queries as the data grows. Review collected by and hosted on G2.com.
It's Cloud service pricing. Because ArangoDb fits within it's own ecospace, the only managed service I know at time of writing is their own, ArangoDb Oasis, and with a recent price hike, it's untenable for a majority of startups wanting to use ArangoDb but not worry about maintaing the system and not have to learn how to sys-admin the Db themselves on self-hosted instances.
I truly feel they should offer a much simpler variation and at a rate similar to AWS RDS's managed services which has basic managed requirements like automated backups, log rotation and fault tolerance to downtime, without the need for the multi-sharding infrastucture. Review collected by and hosted on G2.com.
