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

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQuestDB  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 open source SQL database for time series data
Primary database modelDocument storeObject oriented DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitecloud.google.com/­datastoregithub.com/­objectbox
objectbox.io
www.oracle.com/­database/­technologies/­related/­rdb.htmlquestdb.io
Technical documentationcloud.google.com/­datastore/­docsdocs.objectbox.iowww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlquestdb.io/­docs
DeveloperGoogleObjectBox LimitedOracle, originally developed by Digital Equipment Corporation (DEC)QuestDB Technology Inc
Initial release2008201719842014
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 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++Java (Zero-GC), C++, Rust
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
HP Open VMSLinux
macOS
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyes, details hereyes, plus "flex" map-like typesyesyes
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)noyesSQL with time-series extensions
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresusing Google App Enginenono
TriggersCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosData sync between devices allowing occasional connected databases to work completely offlineSource-replica replication with eventual consistency
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 pathsyesyesno
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 nodeACID for single-table writes
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 infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
Google Cloud DatastoreObjectBoxOracle RdbQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Google Cloud DatastoreObjectBoxOracle RdbQuestDB
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