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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. MonetDB vs. OrigoDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. MonetDB vs. OrigoDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonOrigoDB  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.A relational database management system that stores data in columnsA fully ACID in-memory object graph database
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Relational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.monetdb.orgorigodb.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationorigodb.com/­docs
DeveloperDgraph Labs, Inc.EsgynGoogleMonetDB BVRobert Friberg et al
Initial release20162015201520042009 infounder the name LiveDB
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaCC#
Server operating systemsLinux
OS X
Windows
LinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL 2003 with some extensionsno
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)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP API
LINQ
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
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes, in SQL, C, Ryes
Triggersnononoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding via remote tableshorizontal partitioning infoclient side managed; servers are not synchronized
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 zonesnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
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 integritynoyesnoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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)fine grained access rights according to SQL-standardRole based authorization

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More resources
DgraphEsgynDBGoogle Cloud BigtableMonetDBOrigoDB
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