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DBMS > Google Cloud Datastore vs. JaguarDB vs. Lovefield vs. Percona Server for MySQL

System Properties Comparison Google Cloud Datastore vs. JaguarDB vs. Lovefield vs. Percona Server for MySQL

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonJaguarDB  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformPerformant, highly scalable DBMS for AI and IoT applicationsEmbeddable relational database for web apps written in pure JavaScriptEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelDocument storeKey-value store
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Websitecloud.google.com/­datastorewww.jaguardb.comgoogle.github.io/­lovefieldwww.percona.com/­software/­mysql-database/­percona-server
Technical documentationcloud.google.com/­datastore/­docswww.jaguardb.com/­support.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperGoogleDataJaguar, Inc.GooglePercona
Initial release2008201520142008
Current release3.3 July 20232.1.12, February 20178.0.36-28, 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache 2.0Open Source infoGPL version 2
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++ infothe server part. Clients available in other languagesJavaScriptC and C++
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresusing Google App Enginenonoyes
TriggersCallbacks using the Google Apps EnginenoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replicationnoneMulti-source replication
Source-replica replication
XtraDB Cluster
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud DatastoreJaguarDBLovefieldPercona Server for MySQL
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