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DBMS > Google Cloud Spanner vs. Heroic vs. Ingres vs. jBASE vs. Kingbase

System Properties Comparison Google Cloud Spanner vs. Heroic vs. Ingres vs. jBASE vs. Kingbase

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHeroic  Xexclude from comparisonIngres  Xexclude from comparisonjBASE  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionA 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWell established RDBMSA robust multi-value DBMS comprising development tools and middlewareAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­spotify/­heroicwww.actian.com/­databases/­ingreswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kingbase.com.cn
Technical documentationcloud.google.com/­spanner/­docsspotify.github.io/­heroicdocs.actian.com/­ingresdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperGoogleSpotifyActian CorporationRocket Software (formerly Zumasys)BeiJing KINGBASE Information technologies inc.
Initial release201720141974 infooriginally developed at University Berkely in early 1970s19911999
Current release12.0, July 20245.7V8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and Java
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
Windows
Linux
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableyesyes
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesEmbedded SQL for jBASE in BASICStandard with numerous extensions
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyesyesuser defined functions
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yesIngres Replicatoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerHeroicIngresjBASEKingbase
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