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DBMS > Cloudflare Workers KV vs. Cubrid vs. Google Cloud Datastore vs. SpaceTime vs. Sphinx

System Properties Comparison Cloudflare Workers KV vs. Cubrid vs. Google Cloud Datastore vs. SpaceTime vs. Sphinx

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSpaceTime  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpaceTime is a spatio-temporal DBMS with a focus on performance.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSDocument storeSpatial DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.cloudflare.com/­developer-platform/­workers-kvcubrid.com (korean)
cubrid.org (english)
cloud.google.com/­datastorewww.mireo.com/­spacetimesphinxsearch.com
Technical documentationdevelopers.cloudflare.com/­kv/­apicubrid.org/­manualscloud.google.com/­datastore/­docssphinxsearch.com/­docs
DeveloperCloudflareCUBRID Corporation, CUBRID FoundationGoogleMireoSphinx Technologies Inc.
Initial release20182008200820202001
Current release11.0, January 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C++
Server operating systemshostedLinux
Windows
hostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes, details hereyesno
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 indexesnoyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language (GQL)A subset of ANSI SQL is implementedSQL-like query language (SphinxQL)
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIProprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App Enginenono
TriggersnoyesCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFixed-grid hypercubesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication using PaxosReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
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)yesno

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More resources
Cloudflare Workers KVCubridGoogle Cloud DatastoreSpaceTimeSphinx
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