DBMS > ArangoDB
ArangoDB System Properties
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|Editorial information provided by DB-Engines|
|Description||Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.|
|Primary database model||Document store|
|Current release||3.6.0, January 2020|
|License Commercial or Open Source||Open Source Apache Version 2; Commercial license (Enterprise) available|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.|
|Server operating systems||Linux|
|Data scheme||schema-free automatically recognizes schema within a collection|
|Typing predefined data types such as float or date||yes string, double, boolean, list, hash|
|SQL Support of SQL||no|
|APIs and other access methods||AQL|
Graph API (Gremlin)
GraphQL query language
Java & SpringData
JSON style queries
|Supported programming languages||C#|
|Partitioning methods Methods for storing different data on different nodes||Sharding since version 2.0|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication with configurable replication factor|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency configurable per collection or per write|
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
|Foreign keys Referential integrity||yes relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|User concepts Access control||yes|
|More information provided by the system vendor|
One Engine. One Query Language. Multiple Data Models.
ArangoDB is an open source native multi-model database designed to store data natively as key-value pairs, graphs and JSON documents that can be accessed with one declarative query language - AQL. With a ArangoDB you can build high-performance applications and scale horizontally using all three data models to their full extent. Developers want to use the right data models and access patterns for their use cases.
Before native multi-model and ArangoDB this meant juggling multiple database technologies and query languages not to mention handling data consistency across databases not meant to talk to each other. ArangoDB lets you access the very same data from different perspective and allows even the combination of data models and access patterns in the very same query, e.g. graph traversal -> search -> aggregation. This approach offers a very high data modeling flexibility.
ArangoDB facilitates modern application development with the following features:
Multi-Model: Store data natively. Access data with the right patterns.
AQL: As a declarative query language, those coming from SQL will feel right at home with AQL. With AQL, you can use JOINs, traversals, filters, geo-spatial operations, and aggregations & combine them in a single query.
ArangoDB OASIS: The managed cloud for ArangoDB, provides fully hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. Everybody can test it with a free deployment
Easy Deplyoment: ArangoDB runs everywhere. Deployment is very easy with the ArangoDB Starter and as well on Kubernetes with the ArangoDB Operator
ArangoML: When building a production-grade machine learning infrastructure, ArangoML Pipeline provides support for common metadata storage.
ArangoSearch: Natively integrated cross-platform indexing, text-search and ranking engine for information retrieval, optimized for speed and memory.
Consolidation: As a native multi-model database, can be used as a full blown document store, graph graph database, search engine or any combination of these technologies. If you need multiple data models, ArangoDB minimizes the components that you need to maintain, reducing the complexity of the technology stack for your application or usage. This means a lower total cost of ownership, increasing flexibility and consolidating your overall technical needs.
Strong Data Consistency: When using multiple single-model databases, data consistency becomes an issue. These databases aren’t meant to talk to each other, which means you need to implement some form of transaction functionality to keep your data consistent between different models. With ArangoDB, a single back-end manages your different data models with support for ACID transactions.
Simplified Performance Scaling: Applications grow and mature over time. With ArangoDB, you can easily react to growing performance and storage needs by independently scaling with different data models. ArangoDB scales both vertically and horizontally, and if your performance needs decrease, you can just as easily scale down your backend system to save on hardware and operational requirements.
Transactions: It is a real challenge to provide transactional guarantees across multiple machines and few NoSQL database provide these guarantees. As a native multi-model database, ArangoDB requires transactions to ensure data consistency. ArangoDB provides strong ACID consistency on single instances and atomic single document operations when running in cluster mode.
Lower Total Cost of Ownership: Each database technology you use needs ongoing maintenance, patches, bug fixes and other modifications delivered by the vendor. Each new update has to be tested by a specialized team member and tested for their overall fit into the current system. Using a multi-model database significantly reduces these maintenance costs as it allows you to reduce the number of database technologies you need for your application.
|Typical application scenarios|
Native multi-model in ArangoDB is being used for a broad range of projects across industries and company sizes. Single View of everything, cybersecurity, simulations in manufacturing, Identity & Access Management, Fraud detection, Recommendation Engines, Feature Engineering in Machine Learning & AI or Network Management & Surveillance are common use cases.
Single View of Everything - BA/BI Platform: Thomson Reuters leveraged ArangoDB to build a sophisticated ‘Single View of Everything’ BA/BI Platform. The case study provides insights to the following
Healthy Data Platform as a Service with ArangoDB: The Liaison technologies ALLOY™ Health Platform is a Data Platform as a Service (dPaaS) solution which was built using ArangoDB. In addition to using ArangoDB as a materialized view for customer data, ALLOY™ also makes extensive use of the system for metadata.
Enterprise-Level Digital Certificate and Cryptographic Key Management with ArangoDB:
Many more production case studies can be viewed at : https://www.arangodb.com/why-arangodb/case-studies/
Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip, Kaseware, Demonware, Brainhub, Oxford University, IC Manage, Actify and many more
ArangoDB is the leading native multi-model database with over 9000 stargazers on Github, +7m downloads and over 500 production installations. Customers include Fortune 10 and Fortune 500 companies. On Gartner Peer Insight ArangoDB is recognized as one of the highest rated operational databases with 4.7/5 stars and got selected as leading graph database for the forth successive time on G2Crowd.
|Licensing and pricing models|
Very permissive Apache 2 License for Community Edition & commercial licenses are offered in ArangoDB Enterprise which provides unique scale out features, enterprise-grade security and 24/7 technical support. Contact us for details at www.arangodb.com/contact/
Best Practices for AQL Graph Queries
An Open-Source Petri Dish-As-Code
Azure now GA on ArangoDB Oasis
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
The Weight of Relational Databases: Time for Multi-Model? Global Graph Database Market interpreted by a new report From Data to Metadata for Machine Learning Platforms ArangoDB boosts multi-model database performance with release of ArangoDB 3.6 provided by Google News Database Engineer--COLSA Software Factory Lead Backend Engineer Data Infrastructure Engineer (Sensia) Full-Stack Developer - Solution Specialist - USDC Software Architect
Global Graph Database Market interpreted by a new report
From Data to Metadata for Machine Learning Platforms
ArangoDB boosts multi-model database performance with release of ArangoDB 3.6
provided by Google News
Database Engineer--COLSA Software Factory
Lead Backend Engineer
Data Infrastructure Engineer (Sensia)
Full-Stack Developer - Solution Specialist - USDC
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