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DBMS > EsgynDB vs. Google Cloud Spanner vs. ObjectBox vs. openGauss vs. Oracle Rdb

System Properties Comparison EsgynDB vs. Google Cloud Spanner vs. ObjectBox vs. openGauss vs. Oracle Rdb

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonObjectBox  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionEnterprise-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.Extremely fast embedded database for small devices, IoT and MobileAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitewww.esgyn.cncloud.google.com/­spannerobjectbox.iogitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationcloud.google.com/­spanner/­docsdocs.objectbox.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperEsgynGoogleObjectBox LimitedHuawei and openGauss communityOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20152017201720191984
Current release3.0, March 20227.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC and C++C, C++, Java
Server operating systemsLinuxhostedAndroid
iOS
Linux
macOS
Windows
LinuxHP Open VMS
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011noANSI SQL 2011yes
APIs and other access methodsADO.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
Proprietary native APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication with 3 replicas for regional instances.online/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACIDyes, on a single node
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.nonononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
EsgynDBGoogle Cloud SpannerObjectBoxopenGaussOracle Rdb
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