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DBMS > Google Cloud Datastore vs. Microsoft Azure AI Search vs. ObjectBox vs. Ultipa vs. Yanza

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure AI Search vs. ObjectBox vs. Ultipa vs. Yanza

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonUltipa  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSearch-as-a-service for web and mobile app developmentExtremely fast embedded database for small devices, IoT and MobileHigh performance Graph DBMS supporting HTAP high availability cluster deploymentTime Series DBMS for IoT Applications
Primary database modelDocument storeSearch engineObject oriented DBMSGraph DBMSTime Series DBMS
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­searchobjectbox.iowww.ultipa.comyanza.com
Technical documentationcloud.google.com/­datastore/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iowww.ultipa.com/­document
DeveloperGoogleMicrosoftObjectBox LimitedUltipaYanza
Initial release20082015201720192015
Current releaseV1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedhostedAndroid
iOS
Linux
macOS
Windows
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)nonono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIProprietary native APIRESTful HTTP APIHTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Go
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App Enginenonono
TriggersCallbacks using the Google Apps Enginenonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and servernone
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.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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)yes infousing Azure authenticationyesno
More information provided by the system vendor
Google Cloud DatastoreMicrosoft Azure AI SearchObjectBoxUltipaYanza
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More resources
Google Cloud DatastoreMicrosoft Azure AI SearchObjectBoxUltipaYanza
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