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DBMS > Google Cloud Datastore vs. ObjectBox vs. Percona Server for MongoDB vs. TigerGraph vs. TimesTen

System Properties Comparison Google Cloud Datastore vs. ObjectBox vs. Percona Server for MongoDB vs. TigerGraph vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformExtremely fast embedded database for small devices, IoT and MobileA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeObject oriented DBMSDocument storeGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitecloud.google.com/­datastoreobjectbox.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­datastore/­docsdocs.objectbox.iodocs.percona.com/­percona-distribution-for-mongodbdocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleObjectBox LimitedPerconaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20082017201520171998
Current release3.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoGPL Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
LinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoSQL-like query language (GSQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native APIproprietary protocol using JSONGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresusing Google App EnginenoJavaScriptyesPL/SQL
TriggersCallbacks using the Google Apps Enginenononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosonline/offline synchronization between client and serverSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesyesno
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.Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovia In-Memory Enginenoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreObjectBoxPercona Server for MongoDBTigerGraphTimesTen
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More resources
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