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DBMS > Google Cloud Datastore vs. Kyligence Enterprise vs. OrientDB vs. Realm

System Properties Comparison Google Cloud Datastore vs. Kyligence Enterprise vs. OrientDB vs. Realm

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrientDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed analytics engine for big data, built on top of Apache KylinMulti-model DBMS (Document, Graph, Key/Value)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score7.41
Rank#52  Overall
#8  Document stores
Websitecloud.google.com/­datastorekyligence.io/­kyligence-enterpriseorientdb.orgrealm.io
Technical documentationcloud.google.com/­datastore/­docswww.orientdb.com/­docs/­last/­index.htmlrealm.io/­docs
DeveloperGoogleKyligence, Inc.OrientDB LTD; CallidusCloud; SAPRealm, acquired by MongoDB in May 2019
Initial release2008201620102014
Current release3.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source
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 languageJavaJava
Server operating systemshostedLinuxAll OS with a Java JDK (>= JDK 6)Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)ANSI SQL for queries (using Apache Calcite)SQL-like query language, no joinsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresusing Google App EngineJava, Javascriptno inforuns within the applications so server-side scripts are unnecessary
TriggersCallbacks using the Google Apps EngineHooksyes infoChange Listeners
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 replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesno infocould be achieved with distributed queriesno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles; record level security configurableyes

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More resources
Google Cloud DatastoreKyligence EnterpriseOrientDBRealm
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