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DBMS > Google Cloud Spanner vs. KeyDB vs. ObjectBox vs. SQream DB

System Properties Comparison Google Cloud Spanner vs. KeyDB vs. ObjectBox vs. SQream DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKeyDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  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 protocolsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value storeObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­objectbox
objectbox.io
sqream.com
Technical documentationcloud.google.com/­spanner/­docsdocs.keydb.devdocs.objectbox.iodocs.sqream.com
DeveloperGoogleEQ Alpha Technology Ltd.ObjectBox LimitedSQream Technologies
Initial release2017201920172017
Current release4.0 (May 2024)2022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Bindings are released under Apache 2.0 infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
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 indexesyes, plus "flex" map-like typesyes, ANSI Standard SQL Types
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
Secondary indexesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoyes
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 ProtocoProprietary native API.Net
JDBC
ODBC
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++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuanouser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Data sync between devices allowing occasional connected databases to work completely offlinenone
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
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 ACLyes
More information provided by the system vendor
Google Cloud SpannerKeyDBObjectBoxSQream DB
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More resources
Google Cloud SpannerKeyDBObjectBoxSQream DB
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