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DBMS > Google Cloud Datastore vs. KeyDB vs. mSQL vs. Warp 10

System Properties Comparison Google Cloud Datastore vs. KeyDB vs. mSQL vs. Warp 10

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKeyDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsmSQL (Mini SQL) is a simple and lightweight RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitecloud.google.com/­datastoregithub.com/­Snapchat/­KeyDB
keydb.dev
hughestech.com.au/­products/­msqlwww.warp10.io
Technical documentationcloud.google.com/­datastore/­docsdocs.keydb.devwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleEQ Alpha Technology Ltd.Hughes TechnologiesSenX
Initial release2008201919942015
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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, details herepartial 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 moduleyesno
SQL infoSupport of SQLSQL-like query language (GQL)noA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresusing Google App EngineLuanoyes infoWarpScript
TriggersCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency
Strong eventual consistency with CRDTs
noneImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsOptimistic locking, atomic execution of commands blocks and scriptsnono
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.noyesnoyes
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 ACLnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud DatastoreKeyDBmSQL infoMini SQLWarp 10
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