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DBMS > ArangoDB vs. Google Cloud Datastore vs. Snowflake

System Properties Comparison ArangoDB vs. Google Cloud Datastore vs. Snowflake

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.92
Rank#72  Overall
#10  Document stores
#3  Graph DBMS
#11  Key-value stores
#8  Search engines
Score4.68
Rank#77  Overall
#11  Document stores
Score34.75
Rank#26  Overall
#16  Relational DBMS
Websitewww.arangodb.comcloud.google.com/­datastorewww.snowflake.com
Technical documentationwww.arangodb.com/­docs/­stablecloud.google.com/­datastore/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperArangoDB Inc.GoogleSnowflake Computing Inc.
Initial release201220082014
Current release3.7.9, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase 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.
Implementation languageC++
Server operating systemsLinux
OS X
Windows
hostedhosted
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes, details hereyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptusing Google App Engineuser defined functions
TriggersnoCallbacks using the Google Apps Engineno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
ArangoDBGoogle Cloud DatastoreSnowflake
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
News

Introducing Developer Deployments on ArangoDB Oasis
8 June 2021

ArangoBnB: Data Preparation Case Study
1 June 2021

May 2021: What’s the Latest with ArangoDB?
28 May 2021

April 2021: What’s the Latest with ArangoDB?
24 April 2021

March 2021: What’s the Latest with ArangoDB?
26 March 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBGoogle Cloud DatastoreSnowflake
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

Document Databases Software Market Size and Growth 2021-2028 | Top Vendors – MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB – KSU | The Sentinel Newspaper
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