ArangoGraph (Managed Service)
ArangoDBReviews from AWS customer
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ArangoDB offers a powerful and user-friendly experience, supported by a evolving community.
What do you like best about the product?
What I appreciate most about ArangoDB is its versatility and performance as a graph database, making it an excellent fit for our product's needs. The managed hosting solution offered through ArangoGraph significantly simplifies operations, providing an easy-to-use and reliable service that ensures our applications run smoothly without extensive database management requirements. Additionally, the responsive and helpful customer support team enhances the overall experience, ensuring any issues or questions are promptly addressed.
What do you dislike about the product?
ArangoDB impresses with its robust performance and managed hosting convenience. However, navigating its advanced features could be smoother with more extensive documentation. While its community is smaller compared to some other databases, growing this supportive network could enrich user resources and collaboration opportunities, enhancing the overall ArangoDB experience.
What problems is the product solving and how is that benefiting you?
ArangoDB serves as the backbone of our packaging data management, enabling us to efficiently evaluate recyclability and Extended Producer Responsibility (EPR) fee costs of packaging in accordance with country-specific regulations. By leveraging ArangoDB's robust graph database capabilities, we can intricately map and analyze the complex relationships between various packaging materials, regulations, and fees. This not only streamlines our data processing but also enhances the accuracy and speed at which we can provide actionable insights to our clients.
ArangoDB for performant, streamlined data development beyond RDBMS or other NoSQL stores
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
* 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.
What problems is the product solving and how is that benefiting you?
ArangoDB provides a mechanism for modeling and querying data in a far more intuitive way than RDBMS or other graph/document stores. It streamlines discussions and maintenance of schema and requires less documentation and onboarding overhead.
Created by developers for developers
What do you like best about the product?
The whole team has said over and over how intuitive the Arango query language is. The threshold for learing it was extremely low and we even have frontend developers writing queries the few times they need something special, instead of coming to the backend developers asking for help to retrieve data from our SQL database.
The combination of a document and graph database suits us perfecetly, as our data has lots of connection to each other and in several levels and at the same time we need to be able to aggregate data over periods of time.
We are currently in the process of migrating all data from an SQL database to ArangoDB with the goal of completely getting rid of the SQL database and those cumbersome SQL queries.
Customer support has been quick to respond the few tickets we have had, even though the tickets have been marked with lowest priority by us when submitting the ticket.
The combination of a document and graph database suits us perfecetly, as our data has lots of connection to each other and in several levels and at the same time we need to be able to aggregate data over periods of time.
We are currently in the process of migrating all data from an SQL database to ArangoDB with the goal of completely getting rid of the SQL database and those cumbersome SQL queries.
Customer support has been quick to respond the few tickets we have had, even though the tickets have been marked with lowest priority by us when submitting the ticket.
What do you dislike about the product?
It was a bit of a learning curve on how data is sharded over the nodes in the cluster, which is essential to know in order to get good performance when executing queries.
While it's seldom you want to change name of a collection, that is however possible when working with a single standalone server, but it's not possible in a cluster setup.
It's not possible to set preferred service hours for maintenance (upgrades) for the clusters in their cloud service, so unless we're initiating upgrades manually they can start during our primetime.
While it's seldom you want to change name of a collection, that is however possible when working with a single standalone server, but it's not possible in a cluster setup.
It's not possible to set preferred service hours for maintenance (upgrades) for the clusters in their cloud service, so unless we're initiating upgrades manually they can start during our primetime.
What problems is the product solving and how is that benefiting you?
As our data is very connected to each other, and in many levels, the graph part helps us to quickly traverse and retrieve data. The query language is very powerful and intuitive and performance (at least for our needs) is on par with SQL databases, so we are migrating all data to Arango, as well as all our queries for aggregating data with the goal to completely replace SQL with ArangoDB.
ArangoDb - Powerful database for all
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
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.
What problems is the product solving and how is that benefiting you?
Their goal is clear, to bring about a true multi-model database, and they seemed to have achieved it. Over the years, I've experiemented with OrientDb, Neo4J, MongoDb and ofc well learned in RDMS like Postgres, and MySQL. When working with these techcnologise before Arango, I found that each project / idea I was trying to create, I kept switching Db's to fit the requirements. It wasn't until I found ArangoDb near 10 years ago, I've never looked back.
Having a graph, relational and KVP system all in one that seems to perform as well as the other systems dedicated to one aspect, is truly mind-blowing. Whilst their FOXX is a sort of interesting layer, akin to stored procedures mixed with Express gateway, opens up the power of the database even further, the power of being able to switch your data into a graph structure at any stage truly outshines the desire to use any other Db
Having a graph, relational and KVP system all in one that seems to perform as well as the other systems dedicated to one aspect, is truly mind-blowing. Whilst their FOXX is a sort of interesting layer, akin to stored procedures mixed with Express gateway, opens up the power of the database even further, the power of being able to switch your data into a graph structure at any stage truly outshines the desire to use any other Db
Using ArangoDB as a primary DB for many data models for 2 years
What do you like best about the product?
- 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
- K8S operator in case you need to run the database in your own cluster.
- Quick and accurate support
What do you dislike about the product?
- 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
- visibility of the audit logs in the ArangoGraph platform could be improved
What problems is the product solving and how is that benefiting you?
Arangodb offers a multi-model database, which suites many cases. It enables me to use it as the primary DB in the organization
A great fusion of document and graph database
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
ArangoDB provides us with graph database traversals, vastly simiplifying our queries, and preventing round trips to the database.
Great DB for real world data
What do you like best about the product?
In real world data scenarios, there is often a mix beteen structured data and unstractured data. The big advantage of ArangoDB is that it allows to store and query both structured and unstuctured 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 mangaged service, so it can truly run everywhere, also providing scalability from a standalone single node to a 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 vLersion provides some additional features like encryption at rest, and a very responsive and effective customer support.
ArangoDB is available for all major operating systems, as a container and as a mangaged service, so it can truly run everywhere, also providing scalability from a standalone single node to a 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 vLersion provides some additional features like encryption at rest, and a very responsive and effective customer support.
What do you dislike about the product?
ArangoDB still lacks some granularity in access control. It is possible to grant read-write or read-only access per collcetion basis, but not on a document or attribute level.
Exposing only specific data base 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.
Exposing only specific data base 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.
What problems is the product solving and how is that benefiting you?
ArangoDB empowers our users to gain insights from complex structured and unstructured data and integrate these data with additional data processing solutions.
Using arangodb as a primary store on our product
What do you like best about the product?
Complex aql options, geospatial queries, json store
What do you dislike about the product?
Inability to pivot data, facets calculation performance is poor, only basic fulltext search, no vector store and similarity search for embeddings yet
What problems is the product solving and how is that benefiting you?
Data analytics for investigation of illicit activities of people.
Feature rich Open-Source Graph Database
What do you like best about the product?
Blazing-fast multi-modal database engine, that provides out-of-the box highly-connected (graph) structure querying. Well documented, with amazing support and customer service.
What do you dislike about the product?
Not the most flexible pricing model. Could benefit from having encryption as a baseline (not enterprise) feature.
What problems is the product solving and how is that benefiting you?
Exploring highly-connected business entities, that require blazing fast traversal.
Best Graphing DB for rapid development
What do you like best about the product?
Graphing features and functions. Felxible AQL syntax to query documents
What do you dislike about the product?
Its bit diffcult to maintain the arango cluster during distributed deployment. Need in-depth knowledge to manage shards.
What problems is the product solving and how is that benefiting you?
Arango allows us to query over the geographically sparse data with ease of use. It also provide eloborate query language which can able to solve many use cases. It is helping us to store multi-level unstructured data and quering faster when compared to other solutions.
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