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DBMS > Google Cloud Datastore vs. ObjectBox vs. Oracle Rdb vs. Qdrant

System Properties Comparison Google Cloud Datastore vs. ObjectBox vs. Oracle Rdb vs. Qdrant

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeObject oriented DBMS
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitecloud.google.com/­datastoregithub.com/­objectbox
objectbox.io
www.oracle.com/­database/­technologies/­related/­rdb.htmlgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationcloud.google.com/­datastore/­docsdocs.objectbox.iowww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlqdrant.tech/­documentation
DeveloperGoogleObjectBox LimitedOracle, originally developed by Digital Equipment Corporation (DEC)Qdrant
Initial release2008201719842021
Current release4.0 (May 2024)7.4.1.1, 2021
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0commercialOpen Source infoApache Version 2.0
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 languageC and C++Rust
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
HP Open VMSDocker
Linux
macOS
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes, details hereyes, plus "flex" map-like typesyesNumbers, Strings, Geo, Boolean
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 infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query language (GQL)noyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresusing Google App Engineno
TriggersCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosData sync between devices allowing occasional connected databases to work completely offlineCollection-level replication
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 ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyes, on a single node
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesKey-based authentication
More information provided by the system vendor
Google Cloud DatastoreObjectBoxOracle RdbQdrant
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18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
Google Cloud DatastoreObjectBoxOracle RdbQdrant
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