ArangoDB

ArangoDB

ArangoDB

Multi-model database

ArangoDB is a graph database system developed by ArangoDB Inc. ArangoDB is a multi-model database system since it supports three data models (graphs, JSON documents, key/value)[1] with one database core and a unified query language AQL (ArangoDB Query Language). AQL is mainly a declarative language[2] and allows the combination of different data access patterns in a single query.[3]

Quick Facts Developer(s), Initial release ...

ArangoDB is a NoSQL database system[4] but AQL is similar in many ways to SQL,[5] it uses RocksDB as a storage engine.

History

ArangoDB Inc. was founded in 2015 by Claudius Weinberger and Frank Celler.[6] They originally called the database system “A Versatile Object Container", or AVOC for short, leading them to call the database AvocadoDB.[7][8][9] Later, they changed the name to ArangoDB.[10] The word "arango" refers to a little-known avocado variety grown in Cuba.[11]

In January 2017 ArangoDB raised a seed round investment of 4.2 million Euros led by Target Partners. In March 2019 ArangoDB raised 10 million dollars in series A funding[12] led by Bow Capital. In October 2021 ArangoDB raised 27.8 million dollars in series B funding led by Iris Capital.[13]

Release history

More information Release, First Release ...

Features

  • JSON: ArangoDB uses JSON as a default storage format,[14] but internally it uses ArangoDB VelocyPack – a fast and compact binary format for serialization and storage.[15] ArangoDB can natively store a nested JSON object as a data entry inside a collection. Therefore, there is no need to disassemble the resulting JSON objects. Thus, the stored data would simply inherit the tree structure of the JSON data.
  • Predictable performance: ArangoDB is written mainly in C++[16] and manages its own memory to avoid unpredictable performance arising from garbage collection.
  • Scaling: ArangoDB provides scaling through clustering.[17]
  • Reliability: ArangoDB provides datacenter-to-datacenter replication.[18]
  • Kubernetes: ArangoDB runs on Kubernetes, including cloud-based Kubernetes services Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Microsoft Azure Kubernetes Service (AKS).[19]
  • Microservices: ArangoDB provides integration with native JavaScript microservices directly on top of the DBMS using the Foxx framework.[20]
  • Multiple query languages: The database has its own query language, AQL (ArangoDB Query Language), and also provides GraphQL to write flexible native web services directly on top of the DBMS.[21]
  • Search: ArangoDB's search engine combines boolean retrieval capabilities with generalized ranking components allowing for data retrieval based on a precise vector space model.[22]
  • Pregel algorithm: Pregel is a system for large scale graph processing.[23] Pregel is implemented in ArangoDB and can be used with predefined algorithms, e.g. PageRank, Single-Source Shortest Path and Connected components.[24]
  • Transactions: ArangoDB supports user-definable transactions. Transactions in ArangoDB are atomic, consistent, isolated, and durable (ACID), but only if data is not sharded.[25]

AQL (ArangoDB Query Language) is the SQL-like query language[26] used in ArangoDB. It supports CRUD operations for both documents (nodes) and edges, but it is not a data definition language (DDL). AQL does support geospatial queries.

AQL is JSON-oriented:

// Return every document in a collection
FOR doc IN collection 
  RETURN doc
  
// Count the number of documents in a collection
FOR doc IN collection
    COLLECT WITH COUNT INTO length
    RETURN length

// Add a new document into our collection
INSERT { _key: "john", name: "John", age: 45 } INTO collection

// Update document with key of “john” to have age 46.
UPDATE { _key: "john", age: 46 } IN collection

// Add an attribute numberOfLogins for all users with status active:
FOR u IN users
  FILTER u.active == true
  UPDATE u WITH { numberOfLogins: 0 } IN users

Editions

  • Community Edition: ArangoDB Community Edition is a graph database with native multi-model database capabilities written mainly in C++ and was available under an open-source license (Apache 2) until October 2023. It was then changed to "ArangoDB Community License, which limits its use for commercial purposes and imposes a 100GB limit on dataset size within a single cluster" [27]
  • Commercial self-managed: ArangoDB Enterprise is a paid subscription that includes graph-aware sharding (called “SmartGraphs”)[28] and collection replication (called “Satellite Collections”) to reduce query times,[29] and increased security.[30]
  • Cloud: ArangoDB is offered as a cloud service called Oasis, providing ArangoDB databases as a Service (DBaaS). ArangoDB Oasis provides the functionality of an ArangoDB cluster deployment while minimizing the amount of administrative effort required.[31] ArangoDB Oasis run on multiple cloud service providers, include AWS, Azure, and Google Cloud.[32]

See also

References

  1. [1]
    "Advantages of native multi-model in ArangoDB". ArangoDB. Retrieved 2022-07-26.
  2. [2]
    "ArangoDB Query Language (AQL) Introduction | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-07-26.
  3. [3]
    "AQL Query Patterns & Examples | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-07-26.
  4. [4]
    Celler, Frank (2012-03-07). "ArangoDB's design objectives". ArangoDB. Retrieved 2022-07-26.
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    "ArangoDB Query Language (AQL) Introduction | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-07-26.
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    "Variety Database". www.avocadosource.com. Retrieved 2022-07-27.
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    Ortell, Bill (2021-03-08), AvocadoDB, retrieved 2022-07-27
  8. [8]
    AvocadoDB explained, retrieved 2022-07-27
  9. [9]
    AvocadoDB Query Language Jan Steemann in english, retrieved 2022-07-27
  10. [10]
    ""AvocadoDB" becomes "ArangoDB"". ArangoDB. 2012-05-09. Retrieved 2022-07-27.
  11. [11]
    "Variety Database". www.avocadosource.com. Retrieved 2022-08-05.
  12. [12]
    Weinberger, Claudius (2019-03-14). "ArangoDB receives Series A Funding led by Bow Capital". ArangoDB. Retrieved 2022-07-27.
  13. [13]
    "ArangoDB Announces $27.8 Million Series B Investment to Accelerate Development of Next-Generation Graph ML, Providing Advanced Analytics and AI Capabilities at Enterprise Scale". ArangoDB. Retrieved 2022-07-27.
  14. [14]
    AvocadoDB explained, retrieved 2022-08-05
  15. [15]
    AvocadoDB Query Language Jan Steemann in english, retrieved 2022-08-05
  16. [16]
    ArangoDB, ArangoDB, 2022-08-05, retrieved 2022-08-05
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    "Cluster | ArangoDB Deployment Modes | Architecture | Manual | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-05.
  18. [18]
    "DC2DC Replication | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-05.
  19. [19]
    "Kubernetes | Tutorials | Manual | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-05.
  20. [20]
    "Foxx Microservices | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-05.
  21. [21]
    ArangoDB, ArangoDB, 2022-08-05, retrieved 2022-08-05
  22. [22]
    "ArangoSearch - Full-text search engine including similarity ranking capabilities". ArangoDB. Retrieved 2022-08-05.
  23. [23]
    "Stanford University Pregel White paper" (PDF).
  24. [24]
    "Pregel | Data Science | Manual | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-05.
  25. [25]
    "Transactions | Manual | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-05.
  26. [26]
    "Cluster | ArangoDB Deployment Modes | Architecture | Manual | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-11.
  27. [27]
    ArangoDB, ArangoDB, 2023-10-13, retrieved 2023-10-13
  28. [28]
    "ArangoDB SmartGraphs | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-11.
  29. [29]
    "ArangoDB SatelliteCollections | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-11.
  30. [30]
    "ArangoDB Enterprise Features". ArangoDB. Retrieved 2022-08-11.
  31. [31]
    "Getting Started with ArangoDB Oasis | ArangoDB Documentation". www.arangodb.com. Retrieved 2022-08-11.
  32. [32]
    "ArangoDB Oasis". ArangoDB Oasis. Retrieved 2022-08-11.
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