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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Spanner vs. HyperSQL

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Spanner vs. HyperSQL

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelGraph DBMSRelational DBMSRelational DBMSRelational 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­spannerhsqldb.org
Technical documentationdgraph.io/­docscloud.google.com/­spanner/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperDgraph Labs, Inc.EsgynGoogle
Initial release2016201520172001
Current release2.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infobased on BSD license
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 VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 SQLnoyesyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoJava, SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACID
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.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-standard

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More resources
DgraphEsgynDBGoogle Cloud SpannerHyperSQL infoalso known as HSQLDB
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