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DBMS > Google Cloud Datastore vs. Ingres vs. OrientDB vs. SiteWhere

System Properties Comparison Google Cloud Datastore vs. Ingres vs. OrientDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIngres  Xexclude from comparisonOrientDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWell established RDBMSMulti-model DBMS (Document, Graph, Key/Value)M2M integration platform for persisting/querying time series data
Primary database modelDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitecloud.google.com/­datastorewww.actian.com/­databases/­ingresorientdb.orggithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­datastore/­docsdocs.actian.com/­ingreswww.orientdb.com/­docs/­last/­index.htmlsitewhere1.sitewhere.io/­index.html
DeveloperGoogleActian CorporationOrientDB LTD; CallidusCloud; SAPSiteWhere
Initial release20081974 infooriginally developed at University Berkely in early 1970s20102010
Current release12.0, July 20243.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoCommon Public Attribution License Version 1.0
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 languageCJavaJava
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")predefined scheme
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like query language, no joinsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST
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
Server-side scripts infoStored proceduresusing Google App EngineyesJava, Javascript
TriggersCallbacks using the Google Apps EngineyesHooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosIngres ReplicatorMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono 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 pathsyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurableUsers with fine-grained authorization concept

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More resources
Google Cloud DatastoreIngresOrientDBSiteWhere
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