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

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

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionDistributed 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.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelGraph DBMSRelational DBMSWide column storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score4.45
Rank#80  Overall
#12  Document stores
#4  Graph DBMS
#12  Key-value stores
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtableorientdb.org
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperDgraph Labs, Inc.EsgynGoogleOrientDB LTD; CallidusCloud; SAP
Initial release2016201520152010
Current release3.1.9, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJava
Server operating systemsLinux
OS X
Windows
LinuxhostedAll OS with a Java JDK (>= JDK 6)
Data schemeschema-freeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like query language, no joins
APIs and other access methodsGraphQL 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)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoJava, Javascript
TriggersnononoHooks
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
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 controlno 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)Access rights for users and roles; record level security configurable
More information provided by the system vendor
DgraphEsgynDBGoogle Cloud BigtableOrientDB
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
DgraphEsgynDBGoogle Cloud BigtableOrientDB
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
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