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DBMS > ArangoDB vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

System Properties Comparison ArangoDB vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Distributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMSRelational DBMSWide column store
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
Score1.71
Rank#131  Overall
#11  Graph DBMS
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score3.58
Rank#88  Overall
#7  Wide column stores
Websitewww.arangodb.comdgraph.iowww.esgyn.cncloud.google.com/­bigtable
Technical documentationwww.arangodb.com/­docs/­stabledgraph.io/­docscloud.google.com/­bigtable/­docs
DeveloperArangoDB Inc.Dgraph Labs, Inc.EsgynGoogle
Initial release2012201620152015
Current release3.7.9, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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++GoC++, Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linuxhosted
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptnoJava Stored Proceduresno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoyesyes
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 ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes inforelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
ArangoDBDgraphEsgynDBGoogle Cloud Bigtable
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
Horizontally scalable transactional graph database with fast arbitrary-depth joins...
» 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
ArangoDBDgraphEsgynDBGoogle Cloud Bigtable
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