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DBMS > Google Cloud Spanner vs. ObjectBox vs. Oracle Coherence vs. Splice Machine vs. Yanza

System Properties Comparison Google Cloud Spanner vs. ObjectBox vs. Oracle Coherence vs. Splice Machine vs. Yanza

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsOracles in-memory data grid solutionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­objectbox
objectbox.io
www.oracle.com/­java/­coherencesplicemachine.comyanza.com
Technical documentationcloud.google.com/­spanner/­docsdocs.objectbox.iodocs.oracle.com/­en/­middleware/­standalone/­coherencesplicemachine.com/­how-it-works
DeveloperGoogleObjectBox LimitedOracleSplice MachineYanza
Initial release20172017200720142015
Current release4.0 (May 2024)14.1, August 20233.1, March 2021
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0commercialOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaJava
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyesyesno
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 indexesyesyesnoyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoyesno
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
Proprietary native APIJCache
JPA
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnononoyes infoJavano
Triggersnonoyes infoLive Eventsyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Data sync between devices allowing occasional connected databases to work completely offlineyes, with selectable consistency levelMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud DataflownonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesauthentification to access the cache via certificates or http basic authenticationAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Google Cloud SpannerObjectBoxOracle CoherenceSplice MachineYanza
News

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More resources
Google Cloud SpannerObjectBoxOracle CoherenceSplice MachineYanza
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23 July 2024, InfoWorld

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2 August 2024, Techzine Europe

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Nike achieves scalability and performance with Oracle Coherence & Exadata
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Oracle augments payments and transaction banking in the cloud
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Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

2021: The Year of the Feature Store
19 January 2021, Datanami

Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
24 June 2014, Forbes

Splice Machine Launches ML Manager Beta Program to Meet the Growing Demand for Operational AI
7 April 2019, insideBIGDATA

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