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DBMS > Google Cloud Spanner vs. KeyDB vs. mSQL vs. ObjectBox

System Properties Comparison Google Cloud Spanner vs. KeyDB vs. mSQL vs. ObjectBox

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKeyDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonObjectBox  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsmSQL (Mini SQL) is a simple and lightweight RDBMSExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSKey-value storeRelational DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websitecloud.google.com/­spannergithub.com/­Snapchat/­KeyDB
keydb.dev
hughestech.com.au/­products/­msqlobjectbox.io
Technical documentationcloud.google.com/­spanner/­docsdocs.keydb.devdocs.objectbox.io
DeveloperGoogleEQ Alpha Technology Ltd.Hughes TechnologiesObjectBox Limited
Initial release2017201919942017
Current release4.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercial infofree licenses can be providedOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
iOS
Linux
macOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
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 protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoLuanono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
noneonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
noneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control and ACLnoyes
More information provided by the system vendor
Google Cloud SpannerKeyDBmSQL infoMini SQLObjectBox
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More resources
Google Cloud SpannerKeyDBmSQL infoMini SQLObjectBox
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