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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Datastore vs. MonetDB vs. TigerGraph

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Datastore vs. MonetDB vs. TigerGraph

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMonetDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA relational database management system that stores data in columnsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMSRelational DBMSDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­datastorewww.monetdb.orgwww.tigergraph.com
Technical documentationdgraph.io/­docscloud.google.com/­datastore/­docswww.monetdb.org/­Documentationdocs.tigergraph.com
DeveloperDgraph Labs, Inc.EsgynGoogleMonetDB BV
Initial release20162015200820042017
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoMozilla Public License 2.0commercial
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
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)yes infoSQL 2003 with some extensionsSQL-like query language (GSQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App Engineyes, in SQL, C, Ryes
TriggersnonoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication using Paxosnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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 access control

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More resources
DgraphEsgynDBGoogle Cloud DatastoreMonetDBTigerGraph
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